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Foundation Multivariat | TimesNet | Olivia | Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density | None | ICML 2026 |
Foundation Multivariat | TimesNet | Time-PEFT | Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models | None | ICML 2026 |
Foundation Multivariat | TimesNet | | Universal Redundancies in Time Series Foundation Models | Code
 | ICML 2026 |
LLM Reasoning | TimesNet | VeriTime | Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning | None | ICML 2026 |
LLM Medical | HAR-CoT Sleep-CoT ECG-QA MIMIC | OpenTSLM | OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data | Code
 | ICML 2026 |
LLM Benchmark | Health TS | HEARTS | HEARTS: Benchmarking LLM Reasoning on Health Time Series | Code
 | ICML 2026 |
| Position | TimesNet | | Position: Time-Series Foundation Models Require Explicit Domain-Level Benchmarks | None | ICML 2026 |
Foundation Benchmark | ZTF | StarEmbed | StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars | Code
 | ICML 2026 |
| Physiological | MIMIC PhysioNet | | Self-Supervised Dynamical System Representations for Physiological Time-Series | Code
 | ICML 2026 |
Dataset Condensat | TimesNet | | One Batch Is Enough: A Unified Dataset Condensation Framework for General Time Series Analysis | None | ICML 2026 |
Foundation Multivariat | TimesNet | Zeus | Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis | None | ICML 2026 |
Dataset Multimodal | TelecomTS | | TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis | Code
 | ICML 2026 |
Multimodal Alignment | TimesNet | | Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces | None | ICML 2026 |
| Multivariat | TimesNet | L-Drive | L-Drive: Beyond a Single Mapping—Latent Context Drives Time Series Forecasting | Code
 | ICML 2026 |
| Multivariat | TimesNet | ConFlux | ConFlux: Multivariate Time Series in Flux, One Unified Forecast in Confluence | None | ICML 2026 |
| Multivariat | TimesNet | PESD-TSF | PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | | Parameter Decorrelation via Transition-Variance Alignment for Multivariate Time-series Forecasting | None | ICML 2026 |
| Benchmark | TimesNet | TIME | It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks | Code
 | ICML 2026 |
Robust Multivariat | TimesNet | DropoutTS | DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting | Code
 | ICML 2026 |
| Multivariat | TimesNet | | Time-series forecasting through the lens of dynamics | Code
 | ICML 2026 |
Weather Benchmark | WEATHER-5K | | Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting | Code
 | ICML 2026 |
Efficient Multivariat | TimesNet | BPE | Byte Pair Encoding for Efficient Time Series Forecasting | None | ICML 2026 |
Backdoor Defense | TimesNet | TimeGuard | TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting | Code
 | ICML 2026 |
| Counterfac | TimesNet | | What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions | None | ICML 2026 |
| Distillation | TimesNet | | Beyond Point Predictions: Manifold Expansion and Dual Alignment for Robust Time Series Distillation | None | ICML 2026 |
Foundation Multivariat | TimesNet | | Channel Adapter for Time Series Foundation Models in Zero-Shot Multivariate Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | | Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting | None | ICML 2026 |
Source-Free Multivariat | TimesNet | TimePD | Invariant Representation Learning for Source-Free Time Series Forecasting with LLM-Centric Proxy Denoising | Code
 | ICML 2026 |
| Multivariat | TimesNet | FIPN | FIPN: Forward Self-Organizing Interpretable Polynomial Networks for Time Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | DMANet | Anti-Aliasing Matters: A Dynamic Network for Time Series Forecasting | Code
 | ICML 2026 |
Non-stationary Multivariat | TimesNet | DSENet | DSENet: A Novel Dual-Stream Enhancement Network for Multi-Scale Non-Stationary Time Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | Crisp | Crisp: A Spectral-Based Interaction Strategy for Multivariate Time Series Forecasting | None | ICML 2026 |
| Analysis | TimesNet | | Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting | Code
 | ICML 2026 |
| Multivariat | TimesNet | KITE | KITE: Knowledge-Guided Probabilistic Modeling for Time Series Forecasting with Exogenous Variables | None | ICML 2026 |
LLM Multivariat | TimesNet | TsLLM | TsLLM: Augmenting LLMs for General Time Series Understanding and Prediction | None | ICML 2026 |
| Multivariat | TimesNet | ReNF | ReNF: Rethinking the Principles of Neural Long-Term Time Series Forecasters | Code
 | ICML 2026 |
| Multivariat | TimesNet | | Reviving Error Correction in Modern Deep Time-Series Forecasting | Code
 | ICML 2026 |
| Multivariat | TimesNet | MemCast | MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning | Code
 | ICML 2026 |
Adversarial Multivariat | TimesNet | TSFAdv | TSFAdv: Frequency-Guided Black-Box Adversarial Attacks on Time Series Forecasting | None | ICML 2026 |
Non-stationary Multivariat | TimesNet | Dynamic TMoE | Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting | Code
 | ICML 2026 |
| Multivariat | TimesNet | Fern | Ellipsoidal Time Series Forecasting | None | ICML 2026 |
Generative Multivariat | TimesNet | CoGenCast | CoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series Forecasting | Code
 | ICML 2026 |
| Multivariat | TimesNet | StretchTime | StretchTime: Adaptive Time Series Forecasting via Symplectic Attention | None | ICML 2026 |
Robust Multivariat | TimesNet | | Robust Inter-Series Dependency Modeling for Time Series Forecasting via Information-Theoretic Alignment | None | ICML 2026 |
| Analysis | TimesNet | CombiTS | CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models | Code
 | ICML 2026 |
Foundation Multivariat | TimesNet | | See More, Forecast Better and Faster: Enhancing Time Series Foundation Models via Inference-Time Plug-and-Play Downsampling | Code
 | ICML 2026 |
Robust Multivariat | TimesNet | TameR | Taming the Recent-Data Bias: Towards Robust Time Series Forecasting with Global Context | Code
 | ICML 2026 |
| Multivariat | TimesNet | KineFlow | KineFlow: Kinematic Second-Order Flow Matching for Time-Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | LatentTSF | From Observations to States: Latent Time Series Forecasting | Code
 | ICML 2026 |
Foundation Multivariat | TimesNet | Baguan-TS | Baguan-TS: dual in-context learning model for time series forecasting with covariates | None | ICML 2026 |
| Position | TimesNet | | Position: Current Benchmarking Hinders Real Progress in Deep Learning for Time Series Forecasting | Code
 | ICML 2026 |
LLM Multivariat | TimesNet | TimeMRA | TimeMRA: LLM-Empowered Time Series Forecasting via Multi-Scale Retrieval-Augmented Representations | None | ICML 2026 |
Multimodal Evaluation | TimesNet | | Rethinking Multimodal Time-Series Forecasting Evaluation | None | ICML 2026 |
Irregular Multivariat | TimesNet | TFMixer | Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | DAG | DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables | Code
 | ICML 2026 |
Robust Multivariat | TimesNet | SEER | SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement | None | ICML 2026 |
| Multivariat | TimesNet | TimeSeed | TimeSeed: Effective Time Series Forecasting with Sparse Endogenous Variables | None | ICML 2026 |
| Multivariat | TimesNet | | Information Geometry Loss for Time Series Forecasting | None | ICML 2026 |
| Multivariat | TimesNet | KUMA | KUMA: A Novel Framework with Koopman Separation and Efficient Multilevel Extraction in Time Series Forecasting | None | ICML 2026 |
Scaling Multivariat | TimesNet | | Revealing Scaling Behavior in Large-scale Time Series Models: Implications for More Efficient and Accurate Forecasting | None | ICML 2026 |
Non-stationary Multivariat | TimesNet | PULSE | PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting | Code
 | ICML 2026 |
Diffusion Multivariat | TimesNet | | Not All Frequencies Are Equal: Energy-Adaptive Diffusion for Time Series Forecasting | None | ICML 2026 |
Irregular Medical | MIMIC | MoRGEN | MoRGEN: Mixture-of-Resolutions Generative Forecasting for Irregularly Sampled Medical Time-Series Data | None | ICML 2026 |
| Multivariat | TimesNet | MixLinear | MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with Parameters | Code
 | ICLR 2026 |
| Multivariat | TimesNet | CoRA | CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter | Code
 | ICLR 2026 |
| Multivariat | TimesNet | PHAT | PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | Numerion | Numerion: A Multi-Hypercomplex Model for Time Series Forecasting | None | ICLR 2026 |
| Multivariat | TimesNet | COSA | COSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | CPiRi | CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | GTR | Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval | Code
 | ICLR 2026 |
| Multivariat | TimesNet | TimeAli | Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | | Are Global Dependencies Necessary? Scalable Time Series Forecasting via Local Cross-Variate Modeling | Code
 | ICLR 2026 |
| Multivariat | TimesNet | GCGNet | GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables | Code
 | ICLR 2026 |
| Multivariat | TimesNet | | Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting | None | ICLR 2026 |
| Multivariat | TimesNet | MMPD | MMPD: Diverse Time Series Forecasting via Multi-Mode Patch Diffusion Loss | Code
 | ICLR 2026 |
Robust Multivariat | TimesNet | | Local Geometry Attention for Time Series Forecasting under Realistic Corruptions | Code
 | ICLR 2026 |
| Multivariat | TimesNet | FACT | FACT: Fine-grained Across-variable Convolution for Multivariate Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | | Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting | Code
 | ICLR 2026 |
Foundation Multivariat | | Aurora | Aurora: Towards Universal Generative Multimodal Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | | The Forecast After the Forecast: A Post-Processing Shift in Time Series | Code
 | ICLR 2026 |
| Multivariat | TimesNet | ADAPT-Z | Online time series prediction using feature adjustment | Code
 | ICLR 2026 |
Robust Multivariat | ETT Weather EPA-Air | CTF | Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness | Code
 | ICLR 2026 |
| Multivariat | TimesNet | xCPD | Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition | Code
 | ICLR 2026 |
Irregular Multivariat | | ASTGI | ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | ProtoTS | ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | PhaseFormer | PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting | Code
 | ICLR 2026 |
Irregular Multivariat | | ReIMTS | Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | | Characteristic Root Analysis and Regularization for Linear Time Series Forecasting | Code
 | ICLR 2026 |
| Multivariat | TimesNet | SE-LLM | Semantic-Enhanced Time-Series Forecasting via Large Language Models | Code
 | ICLR 2026 |
| Analysis | TimesNet | TimeRecipe | TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness | Code
 | ICLR 2026 |
| Multivariat | TimesNet | ShifTS | Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift | Code
 | ICLR 2026 |
| Multivariat | TimesNet | QDF | Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models | Code
 | ICLR 2026 |
| Multivariat | TimesNet | DistDF | DistDF: Time-series Forecasting Needs Joint-distribution Wasserstein Alignment | Code
 | ICLR 2026 |
| Traffic | NGSIM HighD | | Micro-Macro Coupled Koopman Modeling on Graph for Traffic Flow Prediction | None | ICLR 2026 |
Evolve Traffic | METR-LA PEMS | STBP | A General Spatio-Temporal Backbone with Scalable Contextual Pattern Bank for Urban Continual Forecasting | Code
 | ICLR 2026 |
| Analysis | TimesNet | | Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated? | Code
 | ICLR 2026 |
Foundation Multivariat | TimesNet | UniCA | UniCA: Unified Covariate Adaptation for Time Series Foundation Model | Code
 | ICLR 2026 |
| Multivariat | TimesNet | TimeOmni-1 | TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models | Code
 | ICLR 2026 |
Foundation Multivariat | TimesNet | | Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment | Code
 | ICLR 2026 |
Foundation Multivariat | TimesNet | | Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models | Code
 | ICLR 2026 |
FL Foundation | TimesNet | FeDaL | FeDaL: Federated Dataset Learning for General Time Series Foundation Models | Code
 | ICLR 2026 |
Foundation Multivariat | TimesNet | SwiftTS | SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning | Code
 | ICLR 2026 |
Foundation Multivariat | TimesNet | SFF | Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model? | Code
 | ICLR 2026 |
Foundation Multivariat | TimesNet | GTM | GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series data | Code
 | ICLR 2026 |
| Multivariat | TimesNet | | Multi-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series Analysis | Code
 | ICLR 2026 |
| Multivariat | TimesNet | AutoDA | AutoDA-Timeseries: Automated Data Augmentation for Time Series | Code
 | ICLR 2026 |
Foundation Multivariat | TimesNet | TS-Memory | TS-Memory: Plug-and-Play Memory for Time Series Foundation Models | Code
 | KDD 2026 |
| Multivariat | | | Eliciting Frequency-Conditioned Spatial Dynamics for Long-Term Spatio-Temporal Forecasting | Code
 | KDD 2026 |
| Multivariat | TimesNet | CCD | CCD: Capturing Cross-Correlations with Deformable Convolutional Networks for Multivariate Time Series Forecasting | Code
 | KDD 2026 |
| Multivariat | TimesNet | STM3 | STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction | Code
 | KDD 2026 |
| Multivariat | TimesNet | CAST-Norm | CAST-Norm: Coupled Adaptive Spatio-Temporal Normalization for Multivariate Time Series Forecasting | Code
 | KDD 2026 |
| Multivariat | TimesNet | RePatch | RePatch: Learning Entropy-Guided Patch Structures with Quantized Representations for Time Series Forecasting | Code
 | KDD 2026 |
| Traffic | LargeST | STUNet | Unified Spatio-Temporal Tokens are Bases for Generalizable Traffic Forecasting | Code
 | KDD 2026 |
| Traffic | PEMS | HURST | HURST: Heterogeneity-Adaptive Urban Foundation Models for Spatiotemporal Prediction via Self-Partitional Mixture-of-Spatial-Experts | None | KDD 2026 |
| Multivariat | TimesNet | SARAF | Stationarity-Aware Retrieval-Augmented Time Series Forecasting | Code
 | KDD 2026 |
| Multivariat | TimesNet | TS-MTM | TS-MTM: Temporal-Spectral Masked Time-Series Modeling for Forecasting | Code
 | KDD 2026 |
| Traffic | PEMS | | Beyond Language Processing: LLMs Rules-Injected Instruction Tuning for Traffic Prediction | Code
 | KDD 2026 |
| Multivariat | | | Orbit-Adaptive Zero-Shot Forecasting on Spatio-Temporal Graph | Code
 | KDD 2026 |
| Multivariat | TimesNet | | One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data | None | KDD 2026 |
| Multivariat | | GODM | GODM: Graph Orthogonal Diffusion Models for Spatio-Temporal Forecasting | Code | KDD 2026 |
| Multivariat | TimesNet | FAiT | FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting | Code | KDD 2026 |
| Multivariat | | | Invariant Structure Learning with Pre-trained Language Models for Spatio-temporal Graph | Code
 | KDD 2026 |
| Traffic | NYC Washington DC Chicago | FreMo | Frequency-Domain Multi-Modality Transportation Modeling | Code
 | KDD 2026 |
| Multivariat | TimesNet | PatchCLE | PatchCLE: Breaking the Linear Representation Bottleneck in Time Series Forecasting via Soft Contrastive Learning | Code
 | KDD 2026 |
Foundation Multivariat | TimesNet | MEMTS | MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation Models | None | KDD 2026 |
| Multivariat | TimesNet | | Beyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series Forecasting | Code
 | KDD 2026 |
| Traffic | PeMSD4 PeMSD8 FT-AED HK-Traffic | FedTT | FedTT: A Federated Spatio-Temporal Learning Framework for Cross-City Traffic Knowledge Transfer | Code | KDD 2026 |
| Multivariat | TimesNet | | Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting | Code
 | KDD 2026 |
| Multivariat | TimesNet | | Efficient Test-Time Scaling for LLM-based Time Series Forecasting | Code
 | KDD 2026 |
Domain Forecasting | TimesNet | Aura | Aura: Universal Multi-dimensional Exogenous Integration for Aviation Time Series | None | KDD 2026 |
Foundation Multivariat | EpiRecipe US disease surveillance | CAPE | Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting | Code
 | KDD 2026 |
| Multivariat | TimesNet | DSPR | DSPR: Dual-Stream Physics-Residual Networks for Trustworthy Industrial Time Series Forecasting | None | KDD 2026 |
Domain Forecasting | | | Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction | Code
 | KDD 2026 |
Foundation Multivariat | Meteorology Carbon flux Soil moisture Energy grid | Guard | When to Trust, How to Distill: Multi-Foundation Model Guidance for Lightweight, Robust Scientific Time Series Forecasting | Code
 | KDD 2026 |
Foundation Multivariat | | UrbanFM | UrbanFM: Scaling Urban Spatio-Temporal Foundation Models | None | KDD 2026 |
| Traffic | CHITaxi WSHTaxi CHIBike PeMS | CSSG | CSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial Granularity | Code
 | KDD 2026 |
| Traffic | PEMS | MoST | MoST: A Foundation Model for Multi-modality Spatio-temporal Traffic Prediction | Code | KDD 2026 |
| Multivariat | | FaST | FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts | Code
 | KDD 2026 |
| Traffic | PEMS | | Incident-Guided Spatiotemporal Traffic Forecasting | Code
 | KDD 2026 |
| Multivariat | TimesNet | TimeDistill | TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation | Code
 | KDD 2026 |
| Multivariat | TimesNet | LoFT-LLM | LoFT-LLM: Low-Frequency Time-series Forecasting with Large Language Models | Code
 | KDD 2026 |
| Multivariat | TimesNet | | Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements | None | KDD 2026 |
| Multivariat | TimesNet | | How to Train Your Mamba for Time Series Forecasting | None | KDD 2026 |
| Traffic | PEMS | | Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting | Code
 | KDD 2026 |
| Multivariat | TimesNet | | From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting | Code
 | KDD 2026 |
| Traffic | PEMS | ChannelMTS | ChannelMTS: A Multi-modal Time-Series Framework for High-Speed Railway Channel Prediction | None | KDD 2026 |
Foundation Multivariat | | | Toward Green Computing: General Carbon Intensity Forecasting via Dual Graph Empowered Time Series Foundation Model | None | WWW 2026 |
| Multivariat | TimesNet | | Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models | None | WWW 2026 |
| Multivariat | TimesNet | | Automated Model Selection for Multivariate Time Series Forecasting | None | WWW 2026 |
| Multivariat | TimesNet | GFMixer | GFMixer: Decoupled Temporal Gradient and Fourier-Aware Attention for Time Series Forecasting | Code
 | WWW 2026 |
| Multivariat | TimesNet | CRAFT | Efficient High-Dimensional Time Series Forecasting with Transformers: A Channel Reordering Perspective | None | WWW 2026 |
| Multivariat | TimesNet | DynaME | Dynamic Multi-period Experts for Online Time Series Forecasting | Code
 | WWW 2026 |
| Multivariat | TimesNet | Re-Diffusion | Re-Diffusion: Modeling Latent Residuals with Diffusion for Time-Series Forecasting | None | WWW 2026 |
FL Multivariat | TimesNet | FedRMamba | FedRMamba: Federated Residual Mamba for Multivariate Time-Series Forecasting | None | WWW 2026 |
| Multivariat | | | Delay-Aware Graph Neural Stochastic Differential Equations for Financial Time Series Modeling and Forecasting | None | WWW 2026 |
| Multivariat | | | Energy-Efficient Training-Free Zero-Inflation Correction for Rainfall Forecasting with Time-Series Foundation Models | Code
 | WWW 2026 |
| Multivariat | TimesNet | | Modeling Point-to-Point Dependency for High-Dimensional Long-Term Series Forecasting | Code
 | WWW 2026 |
| Multivariat | TimesNet | | Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS | Code
 | WWW 2026 |
Foundation Multivariat | TimesNet | QuiZSF | QuiZSF: A Retrieval-Augmented Framework for Zero-Shot Time Series Forecasting | None | WWW 2026 |
| Multivariat | TimesNet | SEMixer | SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting | Code
 | WWW 2026 |
| Multivariat | | Time-TK | Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting | Code
 | WWW 2026 |
| Multivariat | TimesNet | | Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning | None | WWW 2026 |
| Multivariat | TimesNet | EEO-TFV | EEO-TFV: Escape-Explore Optimizer for Web-Scale Time-Series Forecasting and Vision Analysis | None | WWW 2026 |
| Multivariat | TimesNet | | Back to the Future: Look-ahead Augmentation and Parallel Self-Refinement for Time Series Forecasting | Code
 | WWW 2026 |
| Traffic | NYC PeMS | PLM-CUP | Exploiting Pre-trained Language Model for Cross-city Urban Flow Prediction Guided by Information-theoretic Analysis | Code
 | AAAI 2026 |
| Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | MetaDG | Meta Dynamic Graph for Traffic Flow Prediction | Code
 | AAAI 2026 |
FL Traffic | HZMetro SHMetro NYC-Bike NYC-Taxi | FedSTGD | Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting | None | AAAI 2026 |
FL Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | FedHINT | Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction | Code
 | AAAI 2026 |
| Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | HyperD | HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting | Code
 | AAAI 2026 |
| Traffic | PEMS07 PEMS08 PEMS-BAY METR-LA Melbourne | GenCast | Generalising Traffic Forecasting to Regions Without Traffic Observations | Code
 | AAAI 2026 |
Traffic Kriging | PEMS03 PEMS04 PEMS-BAY AIR36 USHCN | DarkFarseer | DarkFarseer: Robust Spatio-Temporal Kriging Under Graph Sparsity and Noise | Code
 | AAAI 2026 |
ST Estimation | JNTaxi JHSales BJAir METR-LA PEMS08 | WaveDiST | WaveDiST: A Wavelet Diffusion Transformer for Spatio-Temporal Estimation on Unobserved Locations | Code
 | AAAI 2026 |
FL Traffic | METR-LA PEMS04 PEMS07 PEMS08 PEMS-BAY | SC-FSGL | Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs | None | AAAI 2026 |
| Multivariat | TimesNet | ReCast | ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | TimeCAP | TimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series Forecasting | Code
 | AAAI 2026 |
| Multivariat | TimesNet | CometNet | CometNet: Contextual Motif-guided Long-term Time Series Forecasting | None | AAAI 2026 |
| Multivariat | ETT Weather ECL Traffic PEMS | IdealTSF | IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models? | Code
 | AAAI 2026 |
Irregular Multivariat | | APN | Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting | Code
 | AAAI 2026 |
| Multivariat | TimesNet | | Goal-Oriented Time-Series Forecasting: Foundation Framework Design | Code
 | AAAI 2026 |
| Multivariat | TimesNet | MDMLP-EIA | MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting | Code
 | AAAI 2026 |
| Multivariat | TimesNet | Sonnet | Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting | Code
 | AAAI 2026 |
FL Multivariat | | FedSkeleton | FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting | Code
 | AAAI 2026 |
| Multivariat | TimesNet | T3Time | T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion | Code
 | AAAI 2026 |
| Multivariat | TimesNet | FreDN | FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition | Code
 | AAAI 2026 |
| Multivariat | TimesNet | OccamVTS | OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting | Code
 | AAAI 2026 |
| Multivariat | ETT ECL Traffic Weather | DTAF | Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing | Code
 | AAAI 2026 |
| Multivariat | TimesNet | TimeMosaic | TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding | Code
 | AAAI 2026 |
| Multivariat | TimesNet | XLinear | XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs | Code
 | AAAI 2026 |
Attack Multivariat | TimesNet | TDBA | Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting | Code
 | AAAI 2026 |
| Multivariat | TimesNet | DeepBooTS | DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting | Code
 | AAAI 2026 |
| Multivariat | TimesNet | EMAformer | EMAformer: Enhancing Transformer Through Embedding Armor for Time Series Forecasting | Code
 | AAAI 2026 |
FL Multivariat | | | Optimal Look-back Horizon for Time Series Forecasting in Federated Learning | None | AAAI 2026 |
| Multivariat | TimesNet | M2FMoE | M2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting | Code
 | AAAI 2026 |
Irregular Multivariat | | | Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline | Code
 | AAAI 2026 |
| Multivariat | TimesNet | HN-MVTS | HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting | Code
 | AAAI 2026 |
| Multivariat | TimesNet | APT | APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift | Code
 | AAAI 2026 |
| Multivariat | TimesNet | FreqCycle | FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting | Code
 | AAAI 2026 |
Foundation Multivariat | TimesNet | ORTCL | ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation | None | AAAI 2026 |
| Multivariat | TimesNet | GraFT | GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | STrans | STrans: Spontaneous Architecture Evolution for Adaptive Time Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | FeTS | FeTS: A Feature-Aware Framework for Time Series Forecasting | Code
 | AAAI 2026 |
| Multivariat | TimesNet | | Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting | Code
 | AAAI 2026 |
| Multivariat | TimesNet | M3Time | M3Time: LLM-Enhanced Multi-Modal, Multi-Scale, and Multi-Frequency Multivariate Time Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | TimePMG | TimePMG: LLM-Based Time Series Forecasting with Period-Aware Multi-Scale Decomposition and Group-Wise Alignment | None | AAAI 2026 |
| Multivariat | TimesNet | ProCAST | ProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series Forecasting | Code
 | AAAI 2026 |
| Multivariat | TimesNet | | Unifying Channel Independence and Mixing: Multi-Scale Patch Recursion for Global-local Representation Synergy in Multivariate Time Series Forecasting | Code
 | AAAI 2026 |
| Multivariat | ETT Electricity Traffic CA | | Harmonic Dataset Distillation for Time Series Forecasting | None | AAAI 2026 |
| Multivariat | TimesNet | SEMPO | SEMPO: Lightweight Foundation Models for Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | TARFVAE | TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE | Code
 | NIPS 2025 |
| Multivariat | TimesNet | MAFS | Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation | Code
 | NIPS 2025 |
| Multivariat | TimesNet | TimeXL | TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop | None | NIPS 2025 |
| Multivariat | TimesNet | DMMV | Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | xLSTM-Mixer | xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories | Code
 | NIPS 2025 |
| Multivariat | TimesNet | TFPS | Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift | Code
 | NIPS 2025 |
| Multivariat | TimesNet | SymTime | Synthetic Series-Symbol Data Generation for Time Series Foundation Models | Code
 | NIPS 2025 |
| Multivariat | TimesNet | OLinear | OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain | Code
 | NIPS 2025 |
| Multivariat | TimesNet | TimeEmb | TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | Time-o1 | Time-o1: Time-Series Forecasting Needs Transformed Label Alignment | Code
 | NIPS 2025 |
| Multivariat | TimesNet | TimePerceiver | TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | MSFT | Multi-Scale Finetuning for Encoder-based Time Series Foundation Models | Code
 | NIPS 2025 |
| Multivariat | TimesNet | DBLoss | DBLoss: Decomposition-based Loss Function for Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | SRSNet | Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective | Code
 | NIPS 2025 |
| Multivariat | TimesNet | IF | Towards Accurate Time Series Forecasting via Implicit Decoding | Code
 | NIPS 2025 |
| Multivariat Zero Shot | TimesNet | TS-RAG | TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster | Code
 | NIPS 2025 |
| Multivariat Traffic | TimesNet PEMS03 PEMS04 PEMS07 PEMS08 | PIR | Improving Time Series Forecasting via Instance-aware Post-hoc Revision | Code
 | NIPS 2025 |
| Multivariat Traffic | Wind Temp PM25
| STELLA | On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | AliO | AliO: Output Alignment Matters in Long-Term Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | TOTO | This Time is Different: An Observability Perspective on Time Series Foundation Models | Code | NIPS 2025 |
| Multivariat | TimesNet | MoFo | MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling | Code
 | NIPS 2025 |
| Multivariat | TimesNet | | Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning | Code
 | NIPS 2025 |
| Multivariat | TimesNet | PIH | Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | SCAM | Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting | Code
 | NIPS 2025 |
| ST SSL | PEMS03 PEMS04 PEMS07 PEMS07(M) METR-LA PEMS-BAY | ST-SSDL | How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning | Code
 | NIPS 2025 |
| Multivariat | TimesNet | DecompNet | DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition | Code
 | NIPS 2025 |
| Multivariat | TimesNet other | S2TS-LLM | Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation | Code
 | NIPS 2025 |
| Multivariat | TimesNet | MSFT | Multi-Scale Finetuning for Encoder-based Time Series Foundation Models | Code
 | NIPS 2025 |
| Multivariat | TimesNet | AMRC | Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency | Code
 | NIPS 2025 |
| Multivariat | TimesNet | SL | Selective Learning for Deep Time Series Forecasting | Code
 | NIPS 2025 |
| Multivariat | TimesNet | LightGTS | LightGTS: A Lightweight General Time Series Forecasting Model | Code
 | ICML 2025 |
| Multivariat | TimesNet | LETS | LETS Forecast: Learning Embedology for Time Series Forecasting | Code
 | ICML 2025 |
| Multivariat | TimesNet | TimeBase | TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting | Code
 | ICML 2025 |
| Multivariat | TimesNet | RAFT | Retrieval Augmented Time Series Forecasting | Code
 | ICML 2025 |
| Multivariat | TimesNet | CN | Channel Normalization for Time Series Channel Identification | Code
 | ICML 2025 |
| Multivariat | TimesNet | TimeBridge | TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting | Code
 | ICML 2025 |
| Multivariat | TimesNet | TimeStacker | TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting | None | ICML 2025 |
| Multivariat | TimesNet | WaveToken | Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization | Code | ICML 2025 |
| Multivariat | TimesNet | Moirai-MoE | Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts | Code
 | ICML 2025 |
| Multivariat | TimesNet | | In-Context Fine-Tuning for Time-Series Foundation Models | None | ICML 2025 |
| Multivariat | TimesNet | SKOLR | SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting | Code
 | ICML 2025 |
| Multivariat | ECL Nottingham | FSTLLM | FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting | Code
 | ICML 2025 |
| Traffic | NYC CHI SIP SD | SynEVO | SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation | Code
 | ICML 2025 |
Traffic ST | ETT ECL | RSTIB | Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting | Code
 | ICML 2025 |
| Multivariat | ETT Weather ECL Exchange | PatchLoss | Patch-wise Structural Loss for Time Series Forecasting | Code
 | ICML 2025 |
Foundation Multivariat | Monash UEA UCR | ROSE | Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer | None | ICML 2025 |
| Multivariat | ETT ECL Exchange | MoF | Slimming the Fat-Tail: MoF for Adaptive Time Series Modeling | None | ICML 2025 |
| Multivariat | TimesNet | CMoS | CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations | Code
 | ICML 2025 |
| Analysis | Synthetic ECG5000 | | Exploring Representations and Interventions in Time Series Foundation Models | Code
 | ICML 2025 |
| Multivariat | TimesNet | CFPT | CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling | Code
 | ICML 2025 |
| Multivariat | TimesNet | TimePro | TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state | Code
 | ICML 2025 |
| Traffic | ETT Traffic ECL Weather Solar PEMS | TimeFilter | TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting | Code
 | ICML 2025 |
| Multivariat | TimesNet | Time-VLM | Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting | Code
 | ICML 2025 |
| Multivariat | TimesNet | LangTime | LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization | Code
 | ICML 2025 |
Irregular Multivariat | MuJoCo MIMIC USHCN | ShiftingTime | Shifting time: Time-series forecasting with Khatri-Rao neural operators | Code
 | ICML 2025 |
Foundation Multivariat | TimesNet | | Lightweight Online Adaption for Time Series Foundation Model Forecasts | None | ICML 2025 |
| Multivariat | TimesNet | CNDiff | Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting | Code
 | ICML 2025 |
| Analysis | ECL ETT | | A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle | Code
 | ICML 2025 |
| Multivariat | TimesNet | TQNet | Temporal Query Network for Efficient Multivariate Time Series Forecasting | Code
 | ICML 2025 |
| Multivariat | TimesNet | WAVE | WAVE: Weighted Autoregressive Varing Gate for Time Series Forecasting | Code
 | ICML 2025 |
Foundation Multivariat | | Sundial | Sundial: A Family of Highly Capable Time Series Foundation Models | Code
 | ICML 2025 |
Foundation Zero Shot | GIFT-EVAL | VisionTS | VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters | Code
 | ICML 2025 |
| Multivariat | TimesNet | TimeFuse | Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | Code
 | ICML 2025 |
Irregular Multivariat | PhysioNet MIMIC-III HAR USHCN | Hi-Patch | Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series | Code
 | ICML 2025 |
Irregular Multivariat | MIMIC-III MIMIC-IV PhysioNet HAR USHCN | HyperIMTS | HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting | Code
 | ICML 2025 |
Irregular Multivariat | | VIMTS | IMTS is Worth Time × Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction | Code
 | ICML 2025 |
| Evolve Traffic | Air-Str PEMS-Str Energy-Str | EAC | Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting | Code
 | ICLR 2025 |
| Multivariat | TimesNet | TimeMixer++ | TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis | Code
 | ICLR 2025 |
| Multivariat | TimesNet | Time-MoE | Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts | Code
 | ICLR 2025 |
| Multivariat | TimesNet | TVNet | TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation | Code
 | ICLR 2025 |
| Multivariat | TimesNet | TimeKAN | TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting | Code
 | ICLR 2025 |
| Multivariat | TimesNet | ICTSP | In-context Time Series Predictor | Code
 | ICLR 2025 |
| Multivariat | TimesNet | FSCA | Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series](https://openreview.net/forum?id=syC2764fPc) | Code
 | ICLR 2025 |
| Multivariat | TimesNet | SimpleTM | SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting](https://openreview.net/forum?id=oANkBaVci5) | Code
 | ICLR 2025 |
| Multivariat | TimesNet | | Towards Neural Scaling Laws for Time Series Foundation Models](https://openreview.net/forum?id=uCqxDfLYrB) | Code
 | ICLR 2025 |
| Multivariat | TimesNet | Timer-XL | Timer-XL: Long-Context Transformers for Unified Time Series Forecasting | Code
 | ICLR 2025 |
| Multivariat | TimesNet | LCESN | Locally Connected Echo State Networks for Time Series Forecasting | Code
 | ICLR 2025 |
| Traffic | PEMS03 PEMS04 PEMS07 PEMS08 METR-LA PEMS-BAY ... | AutoSTF | AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting | Code
 | KDD 2025 |
| Traffic | LargeST | PatchSTG | Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective | Code
 | KDD 2025 |
| Traffic | CHITaxi CHIBike WSHBike NYBike | ProST | ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction | None | KDD 2025 |
Traffic unseen | NYCTaxi NYCBike BJTaxi | STEVE | Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction | Code
 | KDD 2025 |
| Multivariat | TimesNet | DUET | DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting | Code
 | KDD 2025 |
| Multivariat | TimesNet | TSFM-Bench | TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting | Code
 | KDD 2025 |
| Multivariat | TimesNet | QuantumTime | Quantum Time-index Models with Reservoir for Time Series Forecasting | Code
 | KDD 2025 |
| Multivariat | TimesNet | ST-MTM | ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting | Code
 | KDD 2025 |
| Multivariat | TimesNet | CMA | CMA: A Unified Contextual Meta-Adaptation Methodology for Time-Series Denoising and Prediction | Code
 | KDD 2025 |
| Multivariat | TimesNet | CrossLinear | CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables | Code
 | KDD 2025 |
| Multivariat | TimesNet | BLAST | BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models | Code
 | KDD 2025 |
| Multivariat | TimesNet | TimeCapsule | TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations | Code
 | KDD 2025 |
| Multivariat | TimesNet | MoA | Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting | Code
 | KDD 2025 |
| Multivariat | TimesNet | SDE | SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting | Code
 | KDD 2025 |
| Traffic | BIKE PEMS03 BJ500 METR-LA | STH-SepNet | Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs | Code
 | KDD 2025 |
| Evolve Traffic | Electricity PeMS Weather | STEV | Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning | Code
 | KDD 2025 |
| Traffic | PEMS04 PEMS08 METR-LA | STDN | Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting | Code
 | AAAI 2025 |
| Metro Traffic | PEMS Urban Rail | ReDyNet | Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting | Code
 | AAAI 2025 |
| Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | STSGNN | Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling | Code
 | AAAI 2025 |
Foundation Traffic | PEMS03 PEMS04 METR-LA | STD-PLM | STD-PLM: Understanding Both Spatial and Temporal Properties of SpatialTemporal Data with PLM | Code
 | AAAI 2025 |
Inductive Traffic | PEMS03 PEMS04 METR-LA | ST-FiT | ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data | Code
 | AAAI 2025 |
Traffic Distillation | PEMS03 PEMS04 PEMS07 PEMS08 METR-LA | LightST | Efficient Traffic Prediction through Spatio-Temporal Distillation | Code
 | AAAI 2025 |
FL Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | FUELS | Personalized Federated Learning for SpatioTemporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach | None | AAAI 2025 |
ST SSL Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | SSL-STMFormer | SSL-STMFormer: Self-Supervised Learning SpatioTemporal Entanglement Transformer for Traffic Flow Prediction | Code
 | AAAI 2025 |
Fairness Traffic | PEMS04 PEMS08 METR-LA | FairTP | FairTP: A Prolonged Fairness Framework for Traffic Prediction | Code
 | AAAI 2025 |
SSL Pretrain Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | ST-ReP | ST-ReP: Learning Predictive Representations Efficiently for SpatialTemporal Forecasting | Code
 | AAAI 2025 |
Long-term Traffic | PEMS03 PEMS04 PEMS07 PEMS08 METR-LA | DST-Mamba | Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction | Code
 | AAAI 2025 |
CrossCity Traffic | PEMS03 PEMS04 PEMS08 | TSJT | Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting | None | AAAI 2025 |
| Multivariat | ETT Weather ECL Traffic Exchange ILI Solar | HCAN | Hierarchical Classification Auxiliary Network for Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | TimeCMA | TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment | Code
 | AAAI 2025 |
| Multivariat | ETT Weather Solar ECL Traffic | AMD | Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | Times2D | Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | VarDrop | VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | PatchMLP | Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | Amplifier | Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | P-sLSTM | Unlocking the Power of LSTM for Long Term Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | Apollo-Forecast | Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | TAFAS | Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation | Code
 | AAAI 2025 |
| Multivariat | ETT Weather ECL Traffic Solar Stock Exchange | ARMD | Auto-Regressive Moving Diffusion Models for Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | xPatch | xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition | Code
 | AAAI 2025 |
| Multivariat | ETT ECL Exchange Traffic Weather | Affirm | Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | ETT Weather ECL | LSINet | A Lightweight Sparse Interaction Network for Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | Solar ECL Traffic Taxi Wikipedia | HDT | HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | HyperMixer | HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting | None | AAAI 2025 |
| Multivariat | TimesNet | FilterTS | FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | WaveletMixer | WaveletMixer: A Multi-resolution Wavelets Based MLP-Mixer For Multivariate Long-term Time Series Forecasting | None | AAAI 2025 |
| Multivariat | ETT Weather ECL | TimePFN | TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data | Code
 | AAAI 2025 |
| Multivariat | ETT ECL Exchange ILI Solar Traffic Weather | WPMixer | WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | FSatten | Revisiting Attention for Multivariate Time Series Forecasting | Code
 | AAAI 2025 |
| Multivariat | TimesNet | SeqComplementor | Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences | None | AAAI 2025 |
| Multivariat | TimesNet | CALF | CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning | Code
 | AAAI 2025 |
| Multivariat | ETT Weather ECL Solar | CSformer | CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting | None | AAAI 2025 |
| Multivariat | ECL Exchange ETTh2 ETTm1 | LSTD | Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting | Code
 | AAAI 2025 |
| Analysis | M3 M4 Tourism | | Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine | Code
 | AAAI 2025 |
| SSL Repr | SleepEEG UCR | FMI | Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning | Code
 | AAAI 2025 |
SSL Pretrain | ETT Exchange PEMS | DropPatch | Enhancing Masked Time-Series Modeling via Dropping Patches | None | AAAI 2025 |
| Multivariat | TimesNet | SoP | Non-collective Calibrating Strategy for Time Series Forecasting | Code
 | IJCAI 2025 |
| Multivariat | TimesNet | VisMoE | Seeing Sequences like Humans: Pattern Classification Driven Time-Series Forecasting via Vision Language Models | Code
 | CIKM 2025 |
| Multivariat | TimesNet | BIM3 | Bidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series Forecasting | Code
 | CIKM 2025 |
| Multivariat | TimesNet | BALM-TS | BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting | Code
 | CIKM 2025 |
| Multivariat | TimesNet | AdaPatch | AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting | Code
 | CIKM 2025 |
| Multivariat | TimesNet | WDformer | WDformer: A Wavelet-based Differential Transformer Model for Time Series Forecasting | Code
 | CIKM 2025 |
| Multivariat | TimesNet | HRCformer | HRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series Forecasting | None | CIKM 2025 |
| Multivariat | METR-LA PEMS-BAY China-AQI Electricity Solar Temperature | ST-Hyper | ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting | None | CIKM 2025 |
| Multivariat | TimesNet | EAPformer | Bidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series Forecasting | Code
 | CIKM 2025 |
| Multivariat | TimesNet | MillGNN | MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting | None | CIKM 2025 |
| Multivariat | TimesNet | MSOFormer | MSOFormer: Multi-scale Transformer with Orthogonal Embedding and Frequency Modeling for Multivariate Time Series Forecasting | None | CIKM 2025 |
| Zero Shot | Parking TimesNet | DANet | DANet: A RAG-inspired Dual Attention Model for Few-shot Time Series Prediction | None | CIKM 2025 |
| Multivariat | TimesNet | | Structural Entropy-based Multivariate Time Series Forecasting | None | CIKM 2025 |
| Traffic | PEMS03 PEMS04 PEMS07 PEMS08 METR-LA PEMS-BAY | TopKNet | TopKNet:Learning to Perceive the Top-K Pivotal Nodes in Spatio-Temporal Data for Traffic Forecasting | Code
 | CIKM 2025 |
| Traffic | NYCTaxi CityBike METR-LA PEMS-BAY | ST-LINK | ST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal Forecasting | Code
 | CIKM 2025 |
Traffic Random Missing | PEMS04 PEMS08 | STMMoE | Spatio-Temporal Forecasting under Open-World Missingness with Adaptive Mixture-of-Experts | Code
 | CIKM 2025 |
Traffic Node Missing | PEMS03 PEMS04 PEMS07 PEMS08 METR-LA PEMS-BAY ... | STA-GANN | STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach | Code
 | CIKM 2025 |
| Finance | Crypto Forex Future Stock Econ Others | FinCast | FinCast: A Foundation Model for Financial Time-Series Forecasting | Code
 | CIKM 2025 |
| Wind Power | China Texas | | Multivariate Wind Power Time Series Forecasting with Noise-Filtering Neural ODEs | None | CIKM 2025 |
| Traffic | PEMS04 PEMS07 PEMS08 CHIBike | DSformer | Extracting Global Temporal Patterns Within Short Look-Back Windows for Traffic Forecasting | Code
 | CIKM 2025 |
| Traffic | PEMS03 PEMS04 PEMS07 PEMS08 | DoP | Decoder-only Pre-training Enhancement for Spatio-temporal Traffic Forecasting | Code
 | CIKM 2025 |
| Traffic | PEMS07(M) PEMS07 PEMS08 NYCTaxi NYCBike | SSMOE | Mixture of Semantic and Spatial Experts for Explainable Traffic Prediction | None | CIKM 2025 |
| Traffic | PEMS04 PEMS07 PEMS08 | MultiGran | Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes | None | CIKM 2025 |
| Traffic | I-80 US-101 Complex- highway | TPN | Balance and Brighten: A Twin-Propeller Network to Release Potential of Physics Laws for Traffic State Estimation | Code
 | CIKM 2025 |
| Traffic | PEMS04 PEMS07 PEMS08 Jinan | FEDDGCN | FEDDGCN: A Frequency-Enhanced Decoupling Dynamic Graph Convolutional Network for Traffic Flow Prediction | None | CIKM 2025 |
| Multivariat | TimesNet | SSCNN | Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | | Are Language Models Actually Useful for Time Series Forecasting? | Code
 | NIPS 2024 |
| Multivariat | TimesNet | PGN | PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | CATS | Are Self-Attentions Effective for Time Series Forecasting? | Code
 | NIPS 2024 |
| Multivariat | TimesNet | Attraos | Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective | Code
 | NIPS 2024 |
| Multivariat | TimesNet | Time-FFM | Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | Chimera | Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models | Code
 | NIPS 2024 |
| Multivariat | TimesNet | TimeXer | TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables | Code
 | NIPS 2024 |
| Multivariat | TimesNet | MiTSformer | Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment | Code
 | NIPS 2024 |
| Multivariat | TimesNet | TTMs | Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series | Code
 | NIPS 2024 |
| Multivariat | TimesNet | Sumba | Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics | Code
 | NIPS 2024 |
| Multivariat | TimesNet | Peri-midF | Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis | Code
 | NIPS 2024 |
| Multivariat | TimesNet | Ada-MSHyper | Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | ... | LPTM | Large Pre-trained time series models for cross-domain Time series analysis tasks | Code
 | NIPS 2024 |
| Multivariat | TimesNet | CCM | From Similarity to Superiority: Channel Clustering for Time Series Forecasting | Code
 | NIPS 2024 |
| Add News | Electricity Exchange Traffic Bitcoin | | From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection | Code
 | NIPS 2024 |
| Multivariat | ImageBind IMU2CLIP IMUGPT HARGPT LLaVA | UniMTS | UniMTS: Unified Pre-training for Motion Time Series | Code
 | NIPS 2024 |
| Attack | PEMS03 PEMS04 PEMS08 Weather ETTm1 | BackTime | BackTime: Backdoor Attacks on Multivariate Time Series Forecasting | Code
 | NIPS 2024 |
| Less data | Electricity Solar Traffic PEMS-BAY METR-LA | ChronoEpilogi | ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions | Code
 | NIPS 2024 |
| Multivariat | TimesNet | FAN | Frequency Adaptive Normalization For Non-stationary Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | GLAFF | Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective | Code
 | NIPS 2024 |
| Multivariat | TimesNet | FilterNet | FilterNet: Harnessing Frequency Filters for Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | CycleNet | CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns | Code
 | NIPS 2024 |
| Multivariat | TimesNet | RATD | Retrieval-Augmented Diffusion Models for Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | DDN | DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | FBM | Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | BSA | Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | DeformableTST | DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching | Code
 | NIPS 2024 |
| Multivariat | TimesNet | SOFTS | SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion | Code
 | NIPS 2024 |
| Multivariat | TimesNet | | Scaling Law for Time Series Forecasting | Code
 | NIPS 2024 |
| Multivariat | TimesNet | AutoTimes | AutoTimes: Autoregressive Time Series Forecasters via Large Language Models | Code
 | NIPS 2024 |
| Multi Task | TimesNet | UniTS | UniTS: A Unified Multi-Task Time Series Model | Code
 | NIPS 2024 |
| Foundation TS | ... | MOMENT | MOMENT: A Family of Open Time-series Foundation Models | Code
 | ICML 2024 |
| Multivariat | TimesNet | OSL | An Analysis of Linear Time Series Forecasting Models | Code
 | ICML 2024 |
| Six | TimesNet | UP2ME | UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis | Code
 | ICML 2024 |
| Multivariat | TimesNet | SparseTSF | SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters | Code
 | ICML 2024 |
| Multivariat | Electricity PEMSD7M BikeNYC TimesNet | SCNN | Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting | Code
 | TKDE 2024 |
| Multivariat | TimesNet | iTransformer | iTransformer: Inverted Transformers Are Effective for Time Series Forecasting | Code
 | ICLR 2024 |
| Multivariat | NorPool Caiso Traffic Electricity Weather Exchange ETT Wind | mr-Diff | Multi-Resolution Diffusion Models for Time Series Forecasting | None | ICLR 2024 |
| Multivariat | ETT Electricity Weather Traffic Exchange ILI | ModernTCN | ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis | Code
 | ICLR 2024 |
| Multivariat | TimesNet | Time-LLM | Time-LLM: Time Series Forecasting by Reprogramming Large Language Models | Code
 | ICLR 2024 |
| Multivariat | TimesNet | TEMPO | TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting | Code
 | ICLR 2024 |
| Multivariat | TimesNet | CARD | CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting | Code
 | ICLR 2024 |
| Multivariat | TimesNet | ARM | ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning | None | ICLR 2024 |
| Multivariat | TimesNet | DAM | DAM: Towards a Foundation Model for Forecasting | None | ICLR 2024 |
| Multivariat | TimesNet PEMS3478 | TimeMixer | TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting | Code
 | ICLR 2024 |
| Multivariat | TimesNet | PDF | Periodicity Decoupling Framework for Long-term Series Forecasting | Code
 | ICLR 2024 |
Multivariat Missing Value | METR-LA Electricity PEMS ETT BeijingAir | BiTGraph | Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values | Code
 | ICLR 2024 |
| Multivariat | TimesNet PEMS08 | LIFT | Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators | Code
 | ICLR 2024 |
| Multivariat | ETT Weather ILI Traffic | STanHop | STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction | Code
 | ICLR 2024 |
| Multivariat | ETT Weather Electricity Traffic ILI CloudCluster | Pathformer | Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting | Code
 | ICLR 2024 |
| Multivariat | TimesNet | pits | Learning to Embed Time Series Patches Independently | Code
 | ICLR 2024 |
| Multivariat | ETT Weather Electricity Traffic | FITS | FITS: Modeling Time Series with 10k Parameters | Code
 | ICLR 2024 |
| Multivariat | ETT Electricity Weather Lora | AutoTCL | Parametric Augmentation for Time Series Contrastive Learnin | Code
 | ICLR 2024 |
| Multivariat | ETT Exchange ILI | GLIP | Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction | Code | ICLR 2024 |
| Multivariat | TimesNet | Fredformer | Fredformer: Frequency Debiased Transformer for Time Series Forecasting | Code
 | KDD 2024 |
| Multivariat | TimesNet | GPHT | Generative Pretrained Hierarchical Transformer for Time Series Forecasting | Code
 | KDD 2024 |
| Multivariat | TimesNet | FRNet | FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting | Code
 | KDD 2024 |
Missing MTS | METR-LA PEMS-BAY PEMS04 PEMS08 China AQI | GinAR | GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing | Code
 | KDD 2024 |
| Multivariat | METR-LA PEMS-BAY PEMS04 PEMS07 PEMS08 | HimNet | Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting | Code
 | KDD 2024 |
| Multivariat | TimesNet | CDS | Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift | Code
 | KDD 2024 |
Foundation Traffic | TaxiBJ Crawd BikeNYC Cellular TDrive TrafficSH | UniST | UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction | Code
 | KDD 2024 |
Early Traffic | METR-LA EMS NYPD | STEMO | STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning | Code
 | KDD 2024 |
New nodes Traffic | Large-ST | STONE | STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts | Code
 | KDD 2024 |
Irregular Traffic | Zhuzhou Baoding | Aseer | Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks | Code
 | KDD 2024 |
| Multivariat | Stock Exchange Weather | CONTIME | Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization | Code
 | KDD 2024 |
| Multivariat | PEMS07 Large-ST | GWT | Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks | Code | KDD 2024 |
| Large Scale | Large-ST | RPMixer | RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data | Code | KDD 2024 |
Demand Supply Prediction | Shanghai Zhengzhou | MulSTE | MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction | Code
 | KDD 2024 |
| Multivariat | 108s | AutoXPCR | AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting | TF
 | KDD 2024 |
| Multivariat | TimesNet | UniTime | UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting | Code
 | WWW 2024 |
| Multivariat | Ross Saratoga UpperPen SFC | DAN | Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting | Code
 | AAAI 2024 |
| Multivariat | ILI Weather Traffic Electricity ETT Exchange | HDMixer | HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting | Code
 | AAAI 2024 |
| Multivariat | PEMS03 PEMS04 PEMS07 PEMS08 England TaxiBJ PEMS-BAY | STPGNN | Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting | None | AAAI 2024 |
| Multivariat | FD001 FD002 FD003 FD004 | FC-STGNN | Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data | Code
 | AAAI 2024 |
| Multivariat | PEMS04 PEMS08 blockchain | TMP-Nets | Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence | None | AAAI 2024 |
| Multivariat | METR-LA PEMS-BAY | ModWaveMLP | ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting | TF
 | AAAI 2024 |
| Multivariat | Flight Weather ETT Electricity Exchange | MSGNet | MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting | Code
 | AAAI 2024 |
| Multivariat | Self-PeMS | DLF | Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective | Code
 | AAAI 2024 |
| Multivariat | ETT Weather ILI Exchange | HTV-Trans | Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting | Code
 | AAAI 2024 |
| Multivariat | A-share Cross-Market ETT | ST-DAN | Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction | Code
 | AAAI 2024 |
| Six | TimesNet | CTRL | An NCDE-based Framework for Universal Representation Learning of Time Series | Code
 | IJCAI 2024 |
| Traffic | PEMS3478 | STD-MAE | Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting | Code
 | IJCAI 2024 |
| Multivariat | TimesNet | DERITS | Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting | None | IJCAI 2024 |
| Multivariat | TimesNet | Skip-Timef | Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting | None | IJCAI 2024 |
| Multivariat | TimesNet | VCformer | VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting | Code
 | IJCAI 2024 |
| Multivariat | TimesNet | LeRet | LeRet: Language-Empowered Retentive Network for Time Series Forecasting | Code
 | IJCAI 2024 |
| Missing Variate | METR-LA Solar Traffic ECG5000 | SDformer | SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting | None | IJCAI 2024 |
| Traffic | METR-LA PEMS-BAY PEMSD7M | DCST | Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction | Code
 | IJCAI 2024 |
| Traffic | METR-LA PEMS-BAY | ST-nFBST | Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting | Code
 | IJCAI 2024 |
multisource SSL | BikeIn BikeOut TaxiIn TaxiOut Air | MoSSL | Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning | Code
 | IJCAI 2024 |
Traffic CrossCity | METR-LA PEMS-BAY DiDiCD DiDiSZ | pFedCTP | Personalized Federated Learning for Cross-City Traffic Prediction | Code
 | IJCAI 2024 |
| Multivariat | TimesNet | SDformer | [SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Ti | | |