| Euler State Networks: Non-dissipative Reservoir Computing | Mar 17, 2022 | MemorizationTime Series | CodeCode Available | 1 |
| Deep Autoregressive Models with Spectral Attention | Jul 13, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Deep and Confident Prediction for Time Series at Uber | Sep 6, 2017 | Anomaly DetectionPrediction | CodeCode Available | 1 |
| Deep Contrastive One-Class Time Series Anomaly Detection | Jul 4, 2022 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Decoupling Local and Global Representations of Time Series | Feb 4, 2022 | counterfactualTime Series | CodeCode Available | 1 |
| Decomposing non-stationary signals with time-varying wave-shape functions | Oct 14, 2020 | Computational Efficiencyregression | CodeCode Available | 1 |
| Deep Adaptive Input Normalization for Time Series Forecasting | Feb 21, 2019 | Load ForecastingTime Series | CodeCode Available | 1 |
| Deep ConvLSTM with self-attention for human activity decoding using wearables | May 2, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Dataset Condensation for Time Series Classification via Dual Domain Matching | Mar 12, 2024 | Data AugmentationDataset Condensation | CodeCode Available | 1 |
| Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data | Apr 16, 2021 | BenchmarkingCausal Discovery | CodeCode Available | 1 |
| Dataset: Impact Events for Structural Health Monitoring of a Plastic Thin Plate | Sep 20, 2022 | Structural Health MonitoringTime Series | CodeCode Available | 1 |
| D3A-TS: Denoising-Driven Data Augmentation in Time Series | Dec 9, 2023 | Data AugmentationDenoising | CodeCode Available | 1 |
| Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series | Oct 10, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series | Apr 17, 2024 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification | Jul 25, 2022 | ClassificationExplainable Models | CodeCode Available | 1 |
| Deep Counterfactual Estimation with Categorical Background Variables | Oct 11, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation | Jul 7, 2021 | Audio SynthesisImage Generation | CodeCode Available | 1 |
| A Neural PDE Solver with Temporal Stencil Modeling | Feb 16, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress | Sep 29, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series | Apr 25, 2024 | Earth ObservationImage Super-Resolution | CodeCode Available | 1 |
| Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer | May 20, 2022 | Contrastive LearningRepresentation Learning | CodeCode Available | 1 |
| CUTS+: High-dimensional Causal Discovery from Irregular Time-series | May 10, 2023 | Causal DiscoveryDecision Making | CodeCode Available | 1 |
| A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective | Feb 15, 2025 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series | Sep 23, 2021 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| An Evaluation of Change Point Detection Algorithms | Mar 13, 2020 | Change Point DetectionTime Series | CodeCode Available | 1 |
| Adversarial Attacks on Probabilistic Autoregressive Forecasting Models | Mar 8, 2020 | Decision MakingTime Series | CodeCode Available | 1 |
| Adversarial Attacks on Time Series | Feb 27, 2019 | ClassificationDynamic Time Warping | CodeCode Available | 1 |
| An Evaluation of Deep Learning Models for Stock Market Trend Prediction | Aug 22, 2024 | DenoisingTime Series | CodeCode Available | 1 |
| Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations | Apr 13, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Data Normalization for Bilinear Structures in High-Frequency Financial Time-series | Jan 10, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting | Nov 5, 2022 | Anomaly Detectionregression | CodeCode Available | 1 |
| Domain Adaptation for Time Series Forecasting via Attention Sharing | Feb 13, 2021 | Domain AdaptationTime Series | CodeCode Available | 1 |
| PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimation | Aug 16, 2024 | Blood pressure estimationContrastive Learning | CodeCode Available | 1 |
| Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects | Oct 1, 2018 | regressionTime Series | CodeCode Available | 1 |
| Adversarial Examples in Deep Learning for Multivariate Time Series Regression | Sep 24, 2020 | Adversarial AttackDeep Learning | CodeCode Available | 1 |
| AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme | May 8, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLP | Oct 25, 2023 | Binary ClassificationDeep Learning | CodeCode Available | 1 |
| Deep Attentive Time Warping | Sep 13, 2023 | Dynamic Time WarpingMetric Learning | CodeCode Available | 1 |
| DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data | May 5, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Crop mapping from image time series: deep learning with multi-scale label hierarchies | Feb 17, 2021 | Crop ClassificationGeneral Classification | CodeCode Available | 1 |
| Deep Isolation Forest for Anomaly Detection | Jun 14, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Deep Latent State Space Models for Time-Series Generation | Dec 24, 2022 | State Space ModelsTime Series | CodeCode Available | 1 |
| Adversarial Sparse Transformer for Time Series Forecasting | Dec 1, 2020 | Multivariate Time Series ForecastingPrediction | CodeCode Available | 1 |
| Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series | Oct 15, 2021 | ClassificationCrop Classification | 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 |
| CUTS: Neural Causal Discovery from Irregular Time-Series Data | Feb 15, 2023 | Causal DiscoveryGraph Neural Network | CodeCode Available | 1 |
| Contrastive Domain Adaptation for Time-Series via Temporal Mixup | Dec 3, 2022 | Contrastive LearningDomain Adaptation | CodeCode Available | 1 |
| Deep Semi-Supervised Learning for Time Series Classification | Feb 6, 2021 | ClassificationData Augmentation | CodeCode Available | 1 |
| Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting | Dec 11, 2024 | Adversarial AttackTime Series | CodeCode Available | 1 |
| Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models | Nov 14, 2022 | ECG ClassificationState Space Models | CodeCode Available | 1 |
