| Chimp: Efficient Lossless Floating Point Compression for Time Series Databases | Jul 1, 2022 | AstronomyTime Series | CodeCode Available | 2 |
| Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting | Jun 18, 2022 | Graph Neural NetworkMultivariate Time Series Forecasting | CodeCode Available | 2 |
| Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency | Jun 17, 2022 | Activity RecognitionDomain Adaptation | CodeCode Available | 2 |
| Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting | May 28, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| Satellite Image Time Series Analysis for Big Earth Observation Data | Apr 24, 2022 | BIG-bench Machine LearningCloud Computing | CodeCode Available | 2 |
| Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction | Apr 6, 2022 | PredictionStock Prediction | CodeCode Available | 2 |
| ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data | Mar 15, 2022 | BenchmarkingDomain Adaptation | CodeCode Available | 2 |
| Flowformer: Linearizing Transformers with Conservation Flows | Feb 13, 2022 | D4RLOffline RL | CodeCode Available | 2 |
| TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network | Feb 6, 2022 | Data AugmentationDimensionality Reduction | CodeCode Available | 2 |
| ETSformer: Exponential Smoothing Transformers for Time-series Forecasting | Feb 3, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting | Feb 3, 2022 | Contrastive LearningRepresentation Learning | CodeCode Available | 2 |
| FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting | Jan 30, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting | Jan 30, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| Unifying Pairwise Interactions in Complex Dynamics | Jan 28, 2022 | Causal InferenceTime Series | CodeCode Available | 2 |
| TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data | Jan 18, 2022 | Anomaly DetectionMeta-Learning | CodeCode Available | 2 |
| NeuralProphet: Explainable Forecasting at Scale | Nov 29, 2021 | Decision MakingPhilosophy | CodeCode Available | 2 |
| Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy | Oct 6, 2021 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| Probabilistic Time Series Forecasting with Implicit Quantile Networks | Jul 8, 2021 | Probabilistic Time Series ForecastingTime Series | CodeCode Available | 2 |
| Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting | Jun 24, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| Neural SDEs as Infinite-Dimensional GANs | Feb 6, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting | Jan 28, 2021 | Multivariate Time Series ForecastingProbabilistic Time Series Forecasting | CodeCode Available | 2 |
| Conformal prediction interval for dynamic time-series | Oct 18, 2020 | Conformal PredictionEnsemble Learning | CodeCode Available | 2 |
| Deep learning for time series classification | Oct 1, 2020 | Activity RecognitionClassification | CodeCode Available | 2 |
| TODS: An Automated Time Series Outlier Detection System | Sep 18, 2020 | Outlier DetectionTime Series | CodeCode Available | 2 |
| TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks | Sep 16, 2020 | Anomaly DetectionBenchmarking | CodeCode Available | 2 |
| A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting | Jun 20, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| Liquid Time-constant Networks | Jun 8, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| Deep Learning for Time Series Forecasting: Tutorial and Literature Survey | Apr 21, 2020 | BIG-bench Machine LearningDeep Learning | CodeCode Available | 2 |
| TSFEL: Time Series Feature Extraction Library | Mar 21, 2020 | Feature EngineeringTime Series | CodeCode Available | 2 |
| Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows | Feb 14, 2020 | Decision MakingMultivariate Time Series Forecasting | CodeCode Available | 2 |
| AR-Net: A simple Auto-Regressive Neural Network for time-series | Nov 27, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| Bayesian Temporal Factorization for Multidimensional Time Series Prediction | Oct 14, 2019 | ImputationMissing Values | CodeCode Available | 2 |
| Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting | Jun 29, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| Deep learning for time series classification: a review | Sep 12, 2018 | Deep LearningGeneral Classification | CodeCode Available | 2 |
| DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks | Apr 13, 2017 | Multivariate Time Series ForecastingProbabilistic Time Series Forecasting | CodeCode Available | 2 |
| LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection | Jul 1, 2016 | Anomaly DetectionDecoder | CodeCode Available | 2 |
| A foundation model with multi-variate parallel attention to generate neuronal activity | Jun 25, 2025 | Seizure DetectionTime Series | CodeCode Available | 1 |
| KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecasting | Jun 10, 2025 | Computational EfficiencyMamba | CodeCode Available | 1 |
| LETS Forecast: Learning Embedology for Time Series Forecasting | Jun 6, 2025 | Future predictionTime Series | CodeCode Available | 1 |
| TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation | Jun 5, 2025 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | CodeCode Available | 1 |
| TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery | Jun 2, 2025 | Causal DiscoveryDataset Generation | CodeCode Available | 1 |
| Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting | May 30, 2025 | Language ModelingLanguage Modelling | CodeCode Available | 1 |
| Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting | May 30, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| K^2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting | May 29, 2025 | Decision MakingProbabilistic Time Series Forecasting | CodeCode Available | 1 |
| TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning | May 29, 2025 | Dynamic Time WarpingKeypoint Detection | CodeCode Available | 1 |
| FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification | May 29, 2025 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables | May 29, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| IMTS is Worth Time Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction | May 28, 2025 | Missing ValuesSelf-Supervised Learning | CodeCode Available | 1 |
| CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations | May 25, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | May 24, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |