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Awesome Time Series Papers

Awesome Lience PRs Welcome Forks Stars

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.⭐⭐⭐

Some Additional Information

🚩 2025/12/17: Add AAAI 2026 Papers

🚩 2025/11/17: Add MM 2025 Papers

🚩 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

Cateloge

Time Series Forecasting

2025

Method Name Code Source
ReCast: Reliability-aware Codebook Assisted Lightweight Time Series Forecasting None AAAI 2026
CometNet: Contextual Motif-guided Long-term Time Series Forecasting None AAAI 2026
DualSG: A Dual-Stream Explicit Semantic-Guided Multivariate Time Series Forecasting Framework Code 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
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation 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 AAAI2025
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
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 None AAAI 2024
Latent Diffusion Transformer for Probabilistic Time Series Forecasting None AAAI 2024

2023

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

2022

Method Name Code Source
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

2021

Method Name Code Source
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
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
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
FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification Code AAAI 2026
Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning None AAAI 2026
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Code ICML 2025
IMTS is Worth Time × Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction Code ICML 2025
LSCD: Lomb‑Scargle Conditioned Diffusion for Time Series Imputation⭐ Code ICML 2025
Glocal Information Bottleneck for Time Series Imputation Code NeurIPS 2025
A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking Code NeurIPS 2025
Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series⭐ Code NeurIPS 2025
CAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements None AAAI 2025
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series Code ICLR 2025
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows Code AAAI 2025
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis None AAAI 2025
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks None KDD 2024
Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach Code ICML 2024
EMIT - Event Based Masked Auto Encoding for Irregular Time Series Code ICDM 2024

Time Series Data Processing

Method Name Code Source
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation None IJCAI 2025
The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series Code SIGMOD 2025
Largest Triangle Sampling for Visualizing Time Series in Database Code SIGMOD 2025
In-Database Time Series Clustering Code SIGMOD 2025
Camel: Efficient Compression of Floating-Point Time Series Code SIGMOD 2025
Multivariate Time Series Cleaning under Speed Constraints Code SIGMOD 2025

Time Series Representation Learning

Method Name Code Source
Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering Code AAAI 2026
Koopman Invariants as Drivers of Emergent Time-Series Clustering in Joint-Embedding Predictive Architectures None AAAI 2026
TRACE: Contrastive learning for multi-trial time series data in neuroscience Code NeurIPS 2025
MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series Code NeurIPS 2025
TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval None NeurIPS 2025
Comprehensive Review of Neural Differential Equations for Time Series Analysis None IJCAI 2025
Harnessing Vision Models for Time Series Analysis: A Survey⭐ Code IJCAI 2025
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation None KDD 2025
Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals None WWW 2025
On the Identification of Temporal Causal Representation with Instantaneous Dependence Code ICLR 2025
Shedding Light on Time Series Classification using Interpretability Gated Networks None ICLR 2025
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning Code AAAI 2025
Cross-Domain Pre-training with Language Models for Transferable Time Series Representations Code WSDM 2024
Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder Code ICDM 2024
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning Code VLDB 2024

Time Series Causal Discovery

Method Name Code Source
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism None IJCAI 2025
DyCAST: Learning Dynamic Causal Structure from Time Series None ICLR 2025
CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series Code ICLR 2025

Time Series Classification

Method Name Code Source
Counterfactual eXplainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification Code AAAI 2026
MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification None AAAI 2026
DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification Code MM 2025
CrisisTS: Coupling Social Media Textual Data and Meteorological Time Series for Urgency Classification None ACL 2025
A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge Code IJCAI 2025
Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification Code PAKDD 2025
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain None WWW 2025
Shedding Light on Time Series Classification using Interpretability Gated Networks None ICLR 2025
Advancing Time Series Classification with Multimodal Language Modeling Code WSDM 2024

Theory Resource

Course Name Link Source
Time Series Analysis, MIT MIT OCW MIT
Time Series Forecasting, Udacity Udacity Udacity
Practical Time Series Analysis, Coursera Coursera Coursera
Time Series Forecasting using Python Analytics Vidhya Analytics Vidhya
Policy Analysis Using Interrupted Time Series, edX edX edX

Code Resource

Repository Name Link Description
PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series GitHub Python toolbox for time series
FOST from Microsoft GitHub Forecasting toolbox
PyTorch Forecasting GitHub Time series forecasting with PyTorch
A collection of time series prediction methods GitHub Collection of methods
Flow Forecast: A deep learning framework for time series forecasting GitHub Deep learning framework

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An Awesome List of the latest time series papers and code from top AI venues.

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deep-learning time-series survey transformer forecasting representation-learning time-series-analysis anomaly-detection time-series-classification time-series-forecasting early-detection time-series-models irregular causal-discovery irregular-time-series causal-discovery-methods time-series-foundation-model time-series-early-classification

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