awesome-time-series-papers

Awesome Time Series Papers

This is an awesome list of the latest time series papers and code from top AI venues!

This repository is a comprehensive collection of recent research papers and resources in the field of time series analysis, spanning a wide range of topics including time series forecasting, time series anomaly detection, time series early classification, irregular time series learning, time series representation learning, and more.

Feel free to suggest notable works in the issues or submit a pull request!

Star us on GitHub if you find this project helpful.👍👍👍

Recent Updates

🚩 2026/11/6: Update NeurIPS 2026 and EMNLP 2026 Papers

🚩 2026/10/30: Update AAAI 2026 Papers

🚩 2026/10/29: Add MM 2026 Papers

🚩 2026/10/29: Add CIKM 2026 Papers

🚩 2026/10/29: Add ICDM 2026 Papers

🎉 2026/9: Awesome-Time-Series-Papers reached 1.1k+ GitHub stars.

🚩 2026/9/24: Add KDD 2026 Papers (Round 2)

🚩 2026/9/24: Add VLDB 2026 Papers

🚩 2026/9/24: Add ACL 2026 Papers

🚩 2026/9/24: Add CVPR 2026 Papers

🚩 2026/8/12: Add ICML 2026 Papers

🚩 2026/6/15: Update Code Resource

🚩 2026/6/14: Add IJCAI 2026 Papers

🚩 2026/6/14: Add Theory Resource

🚩 2026/6/4: Add SIGMOD 2026 Papers

🚩 2026/4/25: Add KDD 2026 Papers (Round 1)

🚩 2026/4/20: Add WSDM 2026 Papers

🚩 2026/3/16: Add ICDE 2026 Papers

🚩 2026/3/4: Add WWW 2026 Papers

🚩 2026/2/22: Add ICLR 2026 Papers

🚩 2026/2/13: Add Some Recommended Papers⭐

🚩 2026/1/19: Add MM 2025 Papers

🗂️ View 2025 Update History

---

🚩 2025/12/28: Add ICDE 2026 Papers (Round 1)

🚩 2025/11/12: Add ACL 2025 Papers

🚩 2025/11/2: Add Some Recommended Papers⭐

🚩 2025/10/27: Add Some Recommended Papers⭐

🚩 2025/10/23: Add ICML 2025 Papers

🚩 2025/10/14: Add Time Series Foundation Model Part

🚩 2025/10/2: Add NeurIPS 2025 Papers

🚩 2025/8/4: Add IJCAI 2025 Papers

🚩 2025/7/12: Add SIGMOD 2025 Papers

🚩 2025/7/11: Add Data Processing Part

🚩 2025/6/25: Add KDD 2025 Papers (February 2025)

🚩 2025/5/12: Add KDD 2025 Papers (August 2024)

🚩 2025/4/6: Add Some Significant Papers are marked with a 💛(indicating high citations)

🚩 2025/4/3: Add Some of the recommended papers are marked with a ⭐(just my personal reference)

🚩 2025/2/28: Add WWW 2025 Papers

🚩 2025/2/19: Add Causal Discovery Part

🚩 2025/2/12: Add ICLR 2025 Papers

🚩 2025/1/23: Add AAAI 2025 Papers

---

🗂️ View 2024 Update History

---

🚩 2024/12/23: Add ICDM 2025 Papers

🚩 2024/12/8: Add VLDB 2024 Papers

🚩 2024/10/30: Add NeurIPS 2024 Papers

🚩 2024/10/11: Add ICML 2024 Papers

🚩 2024/9/4: Add KDD 2024 Papers

---

Catalog

Time Series Forecasting

2026

Method Name	Code	Source
KairosAgent: Agentic Time Series Forecasting with Fused Semantic Reasoning	None	EMNLP 2026
Closing the Loop: A Control-Theoretic Framework for Provably Stable Time Series Forecasting with LLMs	Code	MM 2026
Time Series Forecasting via Reasoning: A Slow-Thinking Approach with Reinforcement Fine-Tuned LLMs	Code	CIKM 2026
SCENARIODIFF: A Scenario-level Guidance Framework for Multimodal Time Series Forecasting–Extended Version	Code	ICDM 2026
TStruct: Learning Shared Temporal Structures for Long-Term Time-Series Forecasting	Code	NeurIPS 2026
AdaST: Adaptive Coupling for Spatial-Temporal Forecasting	Code	NeurIPS 2026
AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting	None	NeurIPS 2026
Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting	Code	NeurIPS 2026
DiffPTS: Rethinking Diffusion ELBO for Probabilistic Time Series Forecasting	Code	NeurIPS 2026
Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting	None	NeurIPS 2026
Does Synthetic Data Help? Empirical Evidence from Deep Learning Time Series Forecasters	Code	NeurIPS 2026
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach	Code	NeurIPS 2026
Existence Precedes Value: Joint Modeling of Observational Existence and Evolving States in Time Series Forecasting	None	NeurIPS 2026
fev-bench: A Realistic Benchmark for Time Series Forecasting	Code	NeurIPS 2026
Filtered Conformal Ellipsoids for Graph-Native Time Series	Code	NeurIPS 2026
FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting	Code	NeurIPS 2026
Multivariate Time Series Forecasting needs Cross Variable Loss	Code	NeurIPS 2026
PAMod: Modeling Cyclical Shifts via Phase-Amplitude Modulation for Non-stationary Time Series Forecasting	None	NeurIPS 2026
Rethinking Post-Training Recipes for Multimodal Time-Series Forecasting	None	NeurIPS 2026
TimeES: Probabilistic and Deterministic Time Series Forecasting via Evolutionary Spectra	Code	NeurIPS 2026
To See Far, Look Close: Evolutionary Forecasting for Long-term Time Series	None	NeurIPS 2026
CCD: Capturing Cross-Correlations with Deformable Convolutional Networks for Multivariate Time Series Forecasting	Code	KDD 2026
CAST-Norm: Coupled Adaptive Spatio-Temporal Normalization for Multivariate Time Series Forecasting	Code	KDD 2026
Stationarity-Aware Retrieval-Augmented Time Series Forecasting	Code	KDD 2026
Beyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series Forecasting	None	KDD 2026
Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models	None	ACL 2026
Is the Attention Matrix Really the Key to Self-Attention in Multivariate Long-Term Time Series Forecasting?	Code	ACL 2026
Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series Forecasting	Code	ACL 2026
TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting	Code	ACL 2026
TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting	None	ACL 2026
Not All Frequencies Are Equal: Energy-Adaptive Diffusion for Time Series Forecasting	Code	ICML 2026
Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting	Code	ICML 2026
CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models	Code	ICML 2026
DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables	Code	ICML 2026
Dynamic-TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting	Code	ICML 2026
From Observations to States: Latent Time Series Forecasting	Code	ICML 2026
Generalizing Multi-scale Time-Series Modeling with a Single Operator	Code	ICML 2026
Time Series Forecasting Through the Lens of Dynamics	Code	ICML 2026
It’s TIME: Towards the Next Generation of Time Series Forecasting Benchmarks	Code	ICML 2026
Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting	Code	ICML 2026
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning	Code	ICML 2026
DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal	Code	ICML 2026
U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecasting	Code	ICML 2026
KUMA: A Novel Framework with Koopman Separation and Efficient Multilevel Extraction in Time Series Forecasting	None	ICML 2026
Do Time Series Foundation Model Benchmarks Hide Regime-Dependent Failures? Evidence from Traffic Speed Forecasting	None	ICML 2026
From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Space	None	ICML 2026
Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates	None	ICML 2026
Ellipsoidal Time Series Forecasting	None	ICML 2026
Nested Spatio-Temporal Time Series Forecasting	None	ICML 2026
FlowState: Sampling-Rate-Equivariant Time-Series Forecasting	None	ICML 2026
Once-for-All: Scalable Simultaneous Forecasting via Equilibrium State Estimation	None	ICML 2026
EVENTTSF: Event-Aware Non-Stationary Time Series Forecasting	Code	IJCAI 2026
SeesawNet: Towards Non-stationary Time Series Forecasting with Balanced Modeling of Common and Specific Dependencies	Code	IJCAI 2026
From Values to Tokens: An LLM-Driven Framework for Context-Aware Time Series Forecasting via Symbolic Discretization	Code	IJCAI 2026
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation	Code	KDD 2026
LoFT-LLM: Low-Frequency Time-series Forecasting with Large Language Models	Code	KDD 2026
How to Train Your Mamba for Time Series Forecasting	None	KDD 2026
From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting	None	KDD 2026
ChannelMTS: A Multi-modal Time-Series Framework for High-Speed Railway Channel Prediction	None	KDD 2026
Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting	Code	WSDM 2026
Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional Compression	Code	ICDE 2026
VisiFold: Long-Term Traffic Forecasting via Temporal Folding Graph and Node Visibility	Code	ICDE 2026
Regularized Adaptive Graph Learning for Large-Scale Traffic Forecasting	None	ICDE 2026
Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction	None	ICDE 2026
Spatiotemporal Sketch Disaggregation: Streaming Analytics with Heterogeneous Resources	None	ICDE 2026
Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting	Code	WWW 2026
SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting	Code	WWW 2026
Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification	Code	WWW 2026
Efficient High-Dimensional Time Series Forecasting with Transformers: A Channel Reordering Perspective	None	WWW 2026
QuiZSF: A Retrieval-Augmented Framework for Zero-Shot Time Series Forecasting	None	WWW 2026
DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series	Code	ICLR 2026
Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift	Code	ICLR 2026
ResCP: Reservoir Conformal Prediction for Time Series Forecasting	Code	ICLR 2026
Semantic-Enhanced Time-Series Forecasting via Large Language Models	Code	ICLR 2026
Numerion: A Multi-Hypercomplex Model for Time Series Forecasting	None	ICLR 2026
Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring	None	ICLR 2026
Flow-based Conformal Prediction for Multi-dimensional Time Series	None	ICLR 2026
Online time series prediction using feature adjustment	None	ICLR 2026
XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs	Code	AAAI 2026
Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing	Code	AAAI 2026
ReCast: Reliability-aware Codebook Assisted Lightweight Time Series Forecasting	None	AAAI 2026
CometNet: Contextual Motif-guided Long-term Time Series Forecasting	None	AAAI 2026

2025

Method Name	Code	Source
DualSG: A Dual-Stream Explicit Semantic-Guided Multivariate Time Series Forecasting Framework	Code	MM 2025
Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality	None	MM 2025
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting⭐	Code	ACL 2025
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting	Code	ICML 2025
TimeFilter: Patch‑Specific Spatial‑Temporal Graph Filtration for Time Series Forecasting	Code	ICML 2025
K² VAE: A Koopman‑Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting⭐	Code	ICML 2025
CMoS: Rethinking Time Series Prediction Through the Lens of Chunk‑wise Spatial Correlations	Code	ICML 2025
LightGTS: A Lightweight General Time Series Forecasting Model	Code	ICML 2025
Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting	Code	ICML 2025
Retrieval Augmented Time Series Forecasting	Code	ICML 2025
Non‑stationary Diffusion for Probabilistic Time Series Forecasting	Code	ICML 2025
WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting	Code	ICML 2025
Patch‑wise Structural Loss for Time Series Forecasting⭐	Code	ICML 2025
TimeBridge: Non‑Stationarity Matters for Long‑term Time Series Forecasting⭐	Code	ICML 2025
TimePro: Efficient Multivariate Long‑term Time Series Forecasting with Variable‑ and Time‑Aware Hyper‑state	Code	ICML 2025
Winner‑takes‑all for Multivariate Probabilistic Time Series Forecasting	Code	ICML 2025
TimeStacker: A Novel Framework with Multilevel Observation for Capturing Non‑stationary Patterns in Time Series Forecasting	None	ICML 2025
How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning	Code	NeurIPS 2025
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories	Code	NeurIPS 2025
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift	Code	NeurIPS 2025
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning⭐	Code	NeurIPS 2025
TransDF: Time-Series Forecasting Needs Transformed Label Alignment	Code	NeurIPS 2025
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain	Code	NeurIPS 2025
Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction	Code	NeurIPS 2025
Selective Learning for Deep Time Series Forecasting	Code	NeurIPS 2025
On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting	None	NeurIPS 2025
Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop	None	NeurIPS 2025
TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting	None	NeurIPS 2025
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting	None	NeurIPS 2025
Conformal Prediction for Time-series Forecasting with Change Points	None	NeurIPS 2025
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting⭐	Code	IJCAI 2025
Conditional Information Bottleneck-Based Multivariate Time Series Forecasting	Code	IJCAI 2025
A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting	Code	IJCAI 2025
Non-collective Calibrating Strategy for Time Series Forecasting	Code	IJCAI 2025
CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting	Code	IJCAI 2025
CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables	Code	KDD 2025
Performative Time-Series Forecasting	Code	KDD 2025
SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting	Code	KDD 2025
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning	Code	KDD 2025
Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates	Code	KDD 2025
TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations	Code	KDD 2025
Multi-period Learning for Financial Time Series Forecasting	None	KDD 2025
Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting⭐	None	KDD 2025
ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting	None	KDD 2025
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting⭐	None	KDD 2025
Quantum Time-index Models with Reservoir for Time Series Forecasting	None	KDD 2025
IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting	None	KDD 2025
Exploiting Language Power for Time Series Forecasting with Exogenous Variables	None	WWW 2025
Investigating Pattern Neurons in Urban Time Series Forecasting	Code	ICLR 2025
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting	Code	ICLR 2025
A Simple Baseline for Multivariate Time Series Forecasting	Code	ICLR 2025
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting⭐	Code	ICLR 2025
In-context Time Series Predictor	None	ICLR 2025
Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage	None	ICLR 2025
Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery	None	ICLR 2025
Label Correlation Biases Direct Time Series Forecast⭐	None	ICLR 2025
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis	None	ICLR 2025
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation	Code	AAAI 2025
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning	Code	AAAI 2025
Revisiting Attention for Multivariate Time Series Forecasting	Code	AAAI 2025
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting	Code	AAAI 2025
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting	Code	AAAI 2025
Neural Conformal Control for Time Series Forecasting	Code	AAAI 2025
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment	Code	AAAI 2025
Hierarchical Classification Auxiliary Network for Time Series Forecasting	Code	AAAI 2025
Auto-Regressive Moving Diffusion Models for Time Series Forecasting	Code	AAAI 2025
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition	Code	AAAI 2025
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting⭐	Code	AAAI 2025
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine⭐	Code	AAAI 2025
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data	None	AAAI 2025
WaveletMixer: A Multi-resolution Wavelets Based MLP-Mixer For Multivariate Long-term Time Series Forecasting	None	AAAI 2025
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting	None	AAAI 2025
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting	None	AAAI 2025
Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences	None	AAAI 2025
Unlocking the Power of LSTM for Long Term Time Series Forecasting	None	AAAI 2025
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting	None	AAAI 2025
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting	None	AAAI 2025
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting	None	AAAI 2025

💫View 2024 Papers

---

Method Name	Code	Source
Multiple Time Series Forecasting with Dynamic Graph Modeling	Code	VLDB 2024
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods⭐	Code	VLDB 2024
Weakly Guided Adaptation for Robust Time Series Forecasting	Code	VLDB 2024
Retrieval-Augmented Diffusion Models for Time Series Forecasting⭐	Code	NeurIPS 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective	None	NeurIPS 2024
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting	Code	NeurIPS 2024
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective	Code	NeurIPS 2024
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models⭐	Code	NeurIPS 2024
BackTime: Backdoor Attacks on Multivariate Time Series Forecasting	Code	NeurIPS 2024
Are Language Models Actually Useful for Time Series Forecasting?⭐	Code	NeurIPS 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting	Code	NeurIPS 2024
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion	Code	NeurIPS 2024
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns	Code	NeurIPS 2024
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting	Code	NeurIPS 2024
Scaling Law for Time Series Forecasting⭐	Code	NeurIPS 2024
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection	Code	NeurIPS 2024
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables	Code	NeurIPS 2024
Are Self-Attentions Effective for Time Series Forecasting?	Code	NeurIPS 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning	Code	ICML 2024
Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series	None	ICML 2024
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters	Code	ICML 2024
SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting	None	ICML 2024
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables	Code	ICML 2024
Unified Training of Universal Time Series Forecasting Transformers⭐	Code	ICML 2024
Transformers with Loss Shaping Constraints for Long-Term Time Series Forecasting	None	ICML 2024
Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization	Code	ICML 2024
An Analysis of Linear Time Series Forecasting Models⭐	Code	ICML 2024
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention	Code	ICML 2024
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting	Code	KDD 2024
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning	Code	KDD 2024
UniST: A Prompt-empowered Universal Model for Urban Spatio-temporal Prediction	Code	KDD 2024
UniTS: Building a Unified Time Series Model	Code	arXiv
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting⭐	Code	ECAI 2024
Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting	Code	arXiv
E2Usd: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series	Code	WWW 2024
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting	Code	WWW 2024
Dynamic Multi-Network Mining of Tensor Time Series	Code	WWW 2024
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting	Code	ICLR 2024
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting	Code	ICLR 2024
GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings	None	ICLR 2024
Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting	None	ICLR 2024
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting💛	Code	ICLR 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting💛	Code	ICLR 2024
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting	Code	AAAI 2024
Latent Diffusion Transformer for Probabilistic Time Series Forecasting	None	AAAI 2024

💫View 2023 and Before Papers

---

Method Name	Code	Source
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis💛	Code	ICLR 2023
MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting	Code	ICLR 2023
Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting💛	Code	ICLR 2023
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting	Code	ICLR 2023
SAITS: Self-Attention-based Imputation for Time Series	Code	Expert Systems with Applications
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers💛	Code	ICLR 2023
Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting	Code	NeurIPS 2022
Generative Time Series Forecasting with Diffusion, Denoise and Disentanglement	Code	NeurIPS 2022
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction	Code	NeurIPS 2022
Learning Latent Seasonal-Trend Representations for Time Series Forecasting	Code	NeurIPS 2022
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks	Code	NeurIPS 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting	Code	NeurIPS 2022
Probabilistic Transformer For Time Series Analysis	Code	NeurIPS 2021
Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting💛	Code	NeurIPS 2021
Whittle Networks: A Deep Likelihood Model for Time Series	Code	ICML 2021
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting	Code	ICML 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting	Code	AAAI 2021

Time Series Anomaly Detection

Method Name	Code	Source
COMET: Codebook-based Online-adaptive Multi-scale Embedding for Time-series Anomaly Detection	None	NeurIPS 2026
Detect, Explain, Interpret: An End-to-End Benchmark for Time Series Anomaly Detection, Explainability and Interpretability	Code	NeurIPS 2026
STAR: Boosting Time Series Foundation Models for Anomaly Detection through State-aware Adapter	Code	NeurIPS 2026
Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly Detection	None	NeurIPS 2026
VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection	Code	NeurIPS 2026
VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection	Code	NeurIPS 2026
LatentFlow: Discovering Latent Continuous Dynamics across Channels for Multivariate Time Series Anomaly Detection	Code	KDD 2026
LEFT: Learnable Fusion of Tri-view Tokens for Unsupervised Time Series Anomaly Detection	Code	KDD 2026
TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection	Code	KDD 2026
KDSelector: A Framework of Knowledge-Enhanced and Data-Efficient Selector Learning for Anomaly Detection Model Selection in Time Series	Code	VLDB 2026
TimeRCD: Towards Foundation Models for Zero-Shot Time Series Anomaly Detection	Code	ICML 2026
IMPACT: Influence Modeling for Open-Set Time Series Anomaly Detection	Code	ICML 2026
AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection	None	ICML 2026
Learning Hyperspherical Time–Frequency Representations for Time-Series Out-of-Distribution Detection	Code	IJCAI 2026
HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series	Code	SIGMOD 2026
GlassboxAD: An Interactive System for Dissecting Hierarchical Time-Series Anomaly Detection	None	SIGMOD 2026
Dual Data-centric Separation with Circular Mixup for Noise-resistant Time Series Learning	Code	KDD 2026
Can Multimodal LLMs Perform Time Series Anomaly Detection?	Code	WWW 2026
ViTs: Teaching Machines to See Time Series Anomalies Like Human Experts	None	WWW 2026
PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection	Code	ICLR 2026
When Foundation Models are One-Liners: Limitations and Future Directions for Time Series Anomaly Detection	Code	ICLR 2026
ICDiffAD: Implicit Conditioning Diffusion Model for Time Series Anomaly Detection	None	ICLR 2026
An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data	None	ICDE 2026
Harnessing Vision-Language Models for Time Series Anomaly Detection	Code	AAAI 2026
A Theoretical Analysis of Detecting Large Model-Generated Time Series	None	AAAI 2026
Finding Time Series Anomalies using Granular-ball Vector Data Description	None	AAAI 2026
Unsupervised Dual-Domain Memory Model for Time Series Anomaly Detection	None	MM 2025
KAN‑AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks⭐	Code	ICML 2025
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series	Code	ICML 2025
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling.	Code	NeurIPS 2025
ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection	Code	NeurIPS 2025
NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines	Code	IJCAI 2025
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels	None	KDD 2025
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection	None	KDD 2025
Learn hybrid prototypes for multivariate time series anomaly detection	None	ICLR 2025
Can LLMs Understand Time Series Anomalies?⭐	Code	ICLR 2025
CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching	Code	ICLR 2025
Multi-Resolution Decomposable Diffusion Model for Non-Stationary Time Series Anomaly Detection	Code	ICLR 2025
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial	None	ICLR 2025
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection	Code	VLDB 2024
An Experimental Evaluation of Anomaly Detection in Time Series⭐	Code	VLDB 2024
AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data	Code	VLDB 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series⭐	Code	NeurIPS 2024
STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts	None	KDD 2024
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection	None	WWW 2024
Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection	Code	WWW 2024
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective	Code	WWW 2024
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection	None	NeurIPS 2023
CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences	Code	KDD 2022
DCT-GAN: Dilated Convolutional Transformer-based GAN for Time Series Anomaly Detection💛	None	TKDE 2022
Concept Drift Adaptation for Time Series Anomaly Detection via Transformer	None	Neural Processing Letters 2022
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy💛	Code	ICLR 2022
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data💛	Code	VLDB 2022
Learning graph structures with transformer for multivariate time series anomaly detection in IoT💛	Code	IEEE Internet of Things Journal 2021
Spacecraft Anomaly Detection via Transformer Reconstruction Error	None	ICASSE 2019
Unsupervised Anomaly Detection in Multivariate Time Series through Transformer-based Variational Autoencoder	None	CCDC 2021
Variational Transformer-based anomaly detection approach for multivariate time series	None	Measurement 2022

Time Series Foundation Model

Method Name	Code	Source
Align-RAG: Alignment Is All You Need for TSFM In-Context Learning	Code	NeurIPS 2026
Empowering Time Series Analysis with Large-Scale Multimodal Pretraining	None	NeurIPS 2026
Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling	Code (API)	NeurIPS 2026
GlucoFM-Bench: Benchmarking Time-Series Foundation Models for Blood Glucose Forecasting	Code	NeurIPS 2026
Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models	Code	NeurIPS 2026
Learning the Context of Errors: Black-Box Online Adaptation of Time Series Foundation Models	Code	NeurIPS 2026
OATS: Online Data Augmentation for Time Series Foundation Models	Code	NeurIPS 2026
Raw-Routed Mixture of Adapters: A Causal Intervention for Routing Collapse in Time Series Foundation Models	None	NeurIPS 2026
Revisiting the Generic Transformer: Deconstructing a Strong Baseline for Time Series Foundation Models	None	NeurIPS 2026
TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting	Code	NeurIPS 2026
TS-ICL: A Flexible Time-Indexed Foundation Model for Time Series via In-Context Learning	Code	NeurIPS 2026
TS-Memory: Plug-and-Play Memory for Time Series Foundation Models	Code	KDD 2026
MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation Models	None	KDD 2026
OLIVIA: Harmonizing Time Series Foundation Models with Power Spectral Density	Code	ICML 2026
TimeOmni-VL: Unified Models for Time Series Understanding and Generation	Code	ICML 2026
FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models	Code	ICML 2026
MoST: A Foundation Model for Multi-modality Spatio-temporal Traffic Prediction	None	KDD 2026
CauKer: classification time series foundation models can be pretrained on synthetic data only	Code	ICLR 2026 Oral
TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models	None	ICLR 2026
Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated?	None	ICLR 2026
SciTS: Scientific Time Series Understanding and Generation with LLMs	None	ICLR 2026
TimesBERT: A BERT-Style Foundation Model for Time Series Understanding	None	MM 2025
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement	Code	ACL 2025
Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation	None	ACL 2025
Exploring Representations and Interventions in Time Series Foundation Models	Code	ICML 2025
Sundial: A Family of Highly Capable Time Series Foundation Models⭐	Code	ICML 2025
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting	Code	ICML 2025
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts	None	ICML 2025
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization	None	ICML 2025
Lightweight Online Adaption for Time Series Foundation Model Forecasts	None	ICML 2025
Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning	Code	NeurIPS 2025
Synthetic Series-Symbol Data Generation for Time Series Foundation Models	Code	NeurIPS 2025
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models	Code	NeurIPS 2025
This Time is Different: An Observability Perspective on Time Series Foundation Models⭐	Code	NeurIPS 2025
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster	None	NeurIPS 2025
Investigating Hallucinations in Time Series Foundation Models through Signal Subspace Analysis	None	NeurIPS 2025
MIRA: Medical Time Series Foundation Model for Real-World Health Data	None	NeurIPS 2025
A decoder-only foundation model for time-series forecasting💛⭐	Code	ICML 2024

Time Series Early Classification

Method Name	Code	Source
EarlyMix: Hierarchical Mixing for Early Time Series Classification💛	Code	ICME 2025
Second-order Confidence Network for Early Classification of Time Series💛	None	TIST 2023
CALIMERA: A new early time series classification method	Code	IPM 2023
TEASER: Early and Accurate Time Series Classification💛	Code	DMKD 2020
An Effective Confidence-Based Early Classification of Time Series	Code	Access 2019

Irregular Time Series Learning

Method Name	Code	Source
FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation	Code	ICDM 2026
Discretizing Continuous Time Series for Imputation with Masked Diffusion Training	None	NeurIPS 2026
HyFAD: Hybrid Time-Frequency Diffusion with Frequency-Aware Embedding for Time Series Imputation	Code	NeurIPS 2026
Probabilistic Circuits for Irregular Multivariate Time Series Forecasting	Code	NeurIPS 2026
ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation	Code	NeurIPS 2026
Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration	Code	KDD 2026
MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data	Code	VLDB 2026
HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation	Code	ICML 2026 Spotlight
Latent Laplace Diffusion for Irregular Multivariate Time Series	Code	ICML 2026
QuITE: Query-Based Irregular Time Series Embedding	Code	ICML 2026
MoRGen: Mixture-of-Resolutions Generative Forecasting for Irregularly Sampled Medical Time-Series Data	Code	ICML 2026
Spatiotemporal Imputation with Graph-Informed Flow Matching	Code	ICML 2026
Time-Conditioned Foreseeing: An EHR-Specific Foundation Model for Irregular Dynamics and Calendrical Time	Code	ICML 2026
T1: One-to-One Channel-Head Binding for Multivariate Time-Series Imputation	Code	ICLR 2026
FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification	[Code](https

README 内容过长，已截取前 64 KB。完整内容请前往 GitHub 仓库查看。