| Deep Learning for Time Series Anomaly Detection: A Survey | Nov 9, 2022 | Anomaly DetectionDeep Learning | CodeCode Available | 1 |
| Generative Pretrained Hierarchical Transformer for Time Series Forecasting | Feb 26, 2024 | Few-Shot LearningTime Series | CodeCode Available | 1 |
| Deep Learning Statistical Arbitrage | Jun 8, 2021 | Deep LearningTime Series | CodeCode Available | 1 |
| Deep Switching State Space Model (DS^3M) for Nonlinear Time Series Forecasting with Regime Switching | Jun 4, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Deep Isolation Forest for Anomaly Detection | Jun 14, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection | Feb 15, 2022 | Anomaly DetectionMissing Values | CodeCode Available | 1 |
| Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting | May 30, 2023 | ClusteringTime Series | CodeCode Available | 1 |
| Graph-Aware Contrasting for Multivariate Time-Series Classification | Sep 11, 2023 | ClassificationContrastive Learning | CodeCode Available | 1 |
| A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis | Oct 18, 2023 | Anomaly DetectionImputation | CodeCode Available | 1 |
| Graph-Guided Network for Irregularly Sampled Multivariate Time Series | Oct 11, 2021 | Graph Neural NetworkTime Series | CodeCode Available | 1 |
| Deep Latent State Space Models for Time-Series Generation | Dec 24, 2022 | State Space ModelsTime Series | 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 |
| Deep Explicit Duration Switching Models for Time Series | Oct 26, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Deep Learning-based Damage Mapping with InSAR Coherence Time Series | May 24, 2021 | Deep LearningTime Series | CodeCode Available | 1 |
| Deep Counterfactual Estimation with Categorical Background Variables | Oct 11, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| A Generalised Signature Method for Multivariate Time Series Feature Extraction | Jun 1, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths | Mar 19, 2023 | Dynamic Time WarpingInformation Retrieval | CodeCode Available | 1 |
| Deep Contrastive One-Class Time Series Anomaly Detection | Jul 4, 2022 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting | Jul 28, 2022 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| Deep ConvLSTM with self-attention for human activity decoding using wearables | May 2, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Deep Dynamic Factor Models | Jul 23, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series | May 6, 2024 | DiagnosticTime Series | CodeCode Available | 1 |
| Deeptime: a Python library for machine learning dynamical models from time series data | Oct 28, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Deep Adaptive Input Normalization for Time Series Forecasting | Feb 21, 2019 | Load ForecastingTime Series | CodeCode Available | 1 |
| Decoupling Local and Global Representations of Time Series | Feb 4, 2022 | counterfactualTime Series | CodeCode Available | 1 |
| Deep and Confident Prediction for Time Series at Uber | Sep 6, 2017 | Anomaly DetectionPrediction | CodeCode Available | 1 |
| Decomposing non-stationary signals with time-varying wave-shape functions | Oct 14, 2020 | Computational Efficiencyregression | CodeCode Available | 1 |
| Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects | Oct 1, 2018 | regressionTime Series | CodeCode Available | 1 |
| Dataset Condensation for Time Series Classification via Dual Domain Matching | Mar 12, 2024 | Data AugmentationDataset Condensation | CodeCode Available | 1 |
| Data Normalization for Bilinear Structures in High-Frequency Financial Time-series | Jan 10, 2021 | Time SeriesTime Series Analysis | 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 |
| DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series | Apr 17, 2024 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| An Empirical Evaluation of Time-Series Feature Sets | Oct 21, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data | Apr 16, 2021 | BenchmarkingCausal Discovery | CodeCode Available | 1 |
| dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification | Jul 25, 2022 | ClassificationExplainable Models | CodeCode Available | 1 |
| Deep Attentive Time Warping | Sep 13, 2023 | Dynamic Time WarpingMetric Learning | CodeCode Available | 1 |
| CUTS+: High-dimensional Causal Discovery from Irregular Time-series | May 10, 2023 | Causal DiscoveryDecision Making | 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 |
| CUTS: Neural Causal Discovery from Irregular Time-Series Data | Feb 15, 2023 | Causal DiscoveryGraph Neural Network | CodeCode Available | 1 |
| Active multi-fidelity Bayesian online changepoint detection | Mar 26, 2021 | Edge-computingTime Series | CodeCode Available | 1 |
| CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation | Jul 7, 2021 | Audio SynthesisImage Generation | 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 |
| Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer | May 20, 2022 | Contrastive LearningRepresentation Learning | CodeCode Available | 1 |
| An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks | Jul 31, 2020 | Data AugmentationGeneral Classification | CodeCode Available | 1 |
| An Empirical Framework for Domain Generalization in Clinical Settings | Mar 20, 2021 | Domain GeneralizationTime Series | CodeCode Available | 1 |
| Domain Adaptation for Time Series Forecasting via Attention Sharing | Feb 13, 2021 | Domain AdaptationTime 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 |
| D3A-TS: Denoising-Driven Data Augmentation in Time Series | Dec 9, 2023 | Data AugmentationDenoising | CodeCode Available | 1 |
| Deep Autoregressive Models with Spectral Attention | Jul 13, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Contrastive Domain Adaptation for Time-Series via Temporal Mixup | Dec 3, 2022 | Contrastive LearningDomain Adaptation | CodeCode Available | 1 |