| HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting | Feb 12, 2025 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Can LLMs Understand Time Series Anomalies? | Oct 7, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Handling Concept Drift in Global Time Series Forecasting | Apr 4, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models | May 24, 2024 | counterfactualTime Series | CodeCode Available | 1 | 5 |
| CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection | Aug 18, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 | 5 |
| Improving Deep Learning Interpretability by Saliency Guided Training | Nov 29, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| catch22: CAnonical Time-series CHaracteristics | Jan 29, 2019 | ClassificationClustering | CodeCode Available | 1 | 5 |
| Causal and Local Correlations Based Network for Multivariate Time Series Classification | Nov 27, 2024 | Graph Neural NetworkTime Series | CodeCode Available | 1 | 5 |
| Attention to Warp: Deep Metric Learning for Multivariate Time Series | Mar 28, 2021 | Dynamic Time WarpingMetric Learning | CodeCode Available | 1 | 5 |
| hctsa: A Computational Framework for Automated Time-Series Phenotyping Using Massive Feature Extraction | Nov 1, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting | Sep 4, 2021 | Irregular Time SeriesRepresentation Learning | CodeCode Available | 1 | 5 |
| Causal Forecasting:Generalization Bounds for Autoregressive Models | Nov 18, 2021 | Learning TheoryTime Series | CodeCode Available | 1 | 5 |
| Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective | Feb 18, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference | Mar 6, 2024 | Contrastive LearningTime Series | CodeCode Available | 1 | 5 |
| Causal Discovery from Subsampled Time Series with Proxy Variables | May 9, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 1 | 5 |
| Causal Discovery in Semi-Stationary Time Series | Jul 10, 2024 | Causal DiscoveryTime Series | CodeCode Available | 1 | 5 |
| Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting | Dec 14, 2020 | DecoderMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Inherently Interpretable Time Series Classification via Multiple Instance Learning | Nov 16, 2023 | Decision MakingMultiple Instance Learning | CodeCode Available | 1 | 5 |
| Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series | Jul 23, 2021 | Deep LearningIrregular Time Series | CodeCode Available | 1 | 5 |
| BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis | Jan 12, 2024 | Time Series | CodeCode Available | 1 | 5 |
| Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN) | May 27, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach | Nov 14, 2021 | Algorithmic TradingGeneral Reinforcement Learning | CodeCode Available | 1 | 5 |
| A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction | Sep 26, 2024 | Mixture-of-ExpertsPrediction | CodeCode Available | 1 | 5 |
| Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform | May 22, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| A Deep Learning Approach to Analyzing Continuous-Time Systems | Sep 25, 2022 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
