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SJTU-DMTai/Awesome-Large-Models-for-Time-Series

Papers for LLM and foundation models for time series analytics

47

10 commits

updated Oct 15, 2024

See the code

README

Awesome-Large-Models-for-Time-Series

SOTA

VenueTitle
Under review of ICLR'25Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Under review of ICLR'25In-context Time Series Predictor
NIPS'24SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
NIPS'24Are Self-Attentions Effective for Time Series Forecasting?

Survey

VenueTitle
ICML'24Position: What Can Large Language Models Tell Us about Time Series Analysis
KDD'24Foundation Models for Time Series Analysis: A Tutorial and Survey

Benchmark

VenueTitleKeywords
Under Review of ICLR'25FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting
Under Review of ICLR'25GIFT-Eval: A Benchmark for General Time Series Forecasting Model Evaluation

Training

Pretrained Foundation Models

VenueTitleKeywords
Under Review of ICLR'25Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
Under Review of ICLR'25FlexTSF: A universal forecasting model for time series with variable regularities
Under Review of ICLR'25Towards Generalisable Time Series Understanding Across Domains
NIPS'24Large Pre-trained time series models for cross-domain Time series analysis tasks
NIPS’24UNITS: A Unified Multi-Task Time Series ModelOne model for many tasks; Prompt tuning
ICML'24Unified Training of Universal Time Series Forecasting TransformersMultivariate; Large-scale data; Variable window size
ICML’24Timer: Generative Pre-trained Transformers Are Large Time Series ModelsChannel independence; Large-scale data; Auto-regression
ICML'24MOMENT: A Family of Open Time-series Foundation ModelsMasked auto-encoder pretraining
ICML'24A decoder-only foundation model for time-series forecastingAuto-regressive patch-wise decoding

Special Designs

VenueTitleKeywords
Under Review of ICLR'25Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
Under Review of ICLR'25Towards Adaptive Time Series Foundation Models Against Distribution Shift

Fine-Tuning

VenueTitleKeywords
Under Review of ICLR'25In-context Fine-tuning for Time-series Foundation Models
Under Review of ICLR'25

Pre-Training & Fine-Tuning

VenueTitleKeywords
ICML'24UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series AnalysisMasked auto-encoder pretraining; Variable window size; Multivariate fine-tuning
ICML'24Multi-Patch Prediction: Adapting LLMs for Time Series Representation LearningAutoregressive patch-wise decoding

Prompting / Conditional Generation

VenueTitleKeywords
Under Review of ICLR'25TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting
Under Review of ICLR'25TimeRAG: It's Time for Retrieval-Augmented Generation in Time-Series Forecasting
Under Review of ICLR'25Retrieval Augmented Time Series Forecasting
Under Review of ICLR'25CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness
Under Review of ICLR'25Metadata Matters for Time Series: Informative Forecasting with Transformers
ICML'24Time Weaver: A Conditional Time Series Generation ModelDiffusion
ICML'24S$^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series ForecastingRetrieve word embeddings
KDD'24POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt TuningTransfer

Long-context

VenueTitleKeywords
Under Review of ICLR'25Timer-XL: Long-Context Transformers for Unified Time Series Forecasting

Misc

Lightweight

VenueTitleKeywords
Under Review of ICLR'25FastTF: 4 Parameters are All You Need for Long-term Time Series Forecasting
ICML'24SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters

Non-stationary

VenueTitleKeywords
ICML'24SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting

Multi-Modal

VenueTitleKeywords
NIPS'24Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis
MoAT: Multi-Modal Augmented Time Series ForecastingNews article

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SJTU-DMTai/Awesome-Large-Models-for-Time-Series

Papers for LLM and foundation models for time series analytics

47

10 commits

updated Oct 15, 2024

See the code

README

Awesome-Large-Models-for-Time-Series

SOTA

VenueTitle
Under review of ICLR'25Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Under review of ICLR'25In-context Time Series Predictor
NIPS'24SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
NIPS'24Are Self-Attentions Effective for Time Series Forecasting?

Survey

VenueTitle
ICML'24Position: What Can Large Language Models Tell Us about Time Series Analysis
KDD'24Foundation Models for Time Series Analysis: A Tutorial and Survey

Benchmark

VenueTitleKeywords
Under Review of ICLR'25FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting
Under Review of ICLR'25GIFT-Eval: A Benchmark for General Time Series Forecasting Model Evaluation

Training

Pretrained Foundation Models

VenueTitleKeywords
Under Review of ICLR'25Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
Under Review of ICLR'25FlexTSF: A universal forecasting model for time series with variable regularities
Under Review of ICLR'25Towards Generalisable Time Series Understanding Across Domains
NIPS'24Large Pre-trained time series models for cross-domain Time series analysis tasks
NIPS’24UNITS: A Unified Multi-Task Time Series ModelOne model for many tasks; Prompt tuning
ICML'24Unified Training of Universal Time Series Forecasting TransformersMultivariate; Large-scale data; Variable window size
ICML’24Timer: Generative Pre-trained Transformers Are Large Time Series ModelsChannel independence; Large-scale data; Auto-regression
ICML'24MOMENT: A Family of Open Time-series Foundation ModelsMasked auto-encoder pretraining
ICML'24A decoder-only foundation model for time-series forecastingAuto-regressive patch-wise decoding

Special Designs

VenueTitleKeywords
Under Review of ICLR'25Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
Under Review of ICLR'25Towards Adaptive Time Series Foundation Models Against Distribution Shift

Fine-Tuning

VenueTitleKeywords
Under Review of ICLR'25In-context Fine-tuning for Time-series Foundation Models
Under Review of ICLR'25

Pre-Training & Fine-Tuning

VenueTitleKeywords
ICML'24UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series AnalysisMasked auto-encoder pretraining; Variable window size; Multivariate fine-tuning
ICML'24Multi-Patch Prediction: Adapting LLMs for Time Series Representation LearningAutoregressive patch-wise decoding

Prompting / Conditional Generation

VenueTitleKeywords
Under Review of ICLR'25TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting
Under Review of ICLR'25TimeRAG: It's Time for Retrieval-Augmented Generation in Time-Series Forecasting
Under Review of ICLR'25Retrieval Augmented Time Series Forecasting
Under Review of ICLR'25CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness
Under Review of ICLR'25Metadata Matters for Time Series: Informative Forecasting with Transformers
ICML'24Time Weaver: A Conditional Time Series Generation ModelDiffusion
ICML'24S$^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series ForecastingRetrieve word embeddings
KDD'24POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt TuningTransfer

Long-context

VenueTitleKeywords
Under Review of ICLR'25Timer-XL: Long-Context Transformers for Unified Time Series Forecasting

Misc

Lightweight

VenueTitleKeywords
Under Review of ICLR'25FastTF: 4 Parameters are All You Need for Long-term Time Series Forecasting
ICML'24SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters

Non-stationary

VenueTitleKeywords
ICML'24SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting

Multi-Modal

VenueTitleKeywords
NIPS'24Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis
MoAT: Multi-Modal Augmented Time Series ForecastingNews article

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42

start2020/Awesome-TimeSeries-LLM-FM

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