| Deep Learning for Time Series Anomaly Detection: A Survey | Nov 9, 2022 | Anomaly DetectionDeep Learning | CodeCode Available | 1 | 5 |
| Long-Range Transformers for Dynamic Spatiotemporal Forecasting | Sep 24, 2021 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| An Empirical Framework for Domain Generalization in Clinical Settings | Mar 20, 2021 | Domain GeneralizationTime Series | CodeCode Available | 1 | 5 |
| Decomposing non-stationary signals with time-varying wave-shape functions | Oct 14, 2020 | Computational Efficiencyregression | CodeCode Available | 1 | 5 |
| Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects | Oct 1, 2018 | regressionTime Series | CodeCode Available | 1 | 5 |
| Decoupling Local and Global Representations of Time Series | Feb 4, 2022 | counterfactualTime Series | CodeCode Available | 1 | 5 |
| FM-TS: Flow Matching for Time Series Generation | Nov 12, 2024 | BenchmarkingImputation | CodeCode Available | 1 | 5 |
| FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery | Oct 20, 2023 | DiversityLand Cover Classification | CodeCode Available | 1 | 5 |
| Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths | Mar 19, 2023 | Dynamic Time WarpingInformation Retrieval | CodeCode Available | 1 | 5 |
| Deep Autoregressive Models with Spectral Attention | Jul 13, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Adaptive Conformal Predictions for Time Series | Feb 15, 2022 | Conformal PredictionDecision Making | CodeCode Available | 1 | 5 |
| Deep ConvLSTM with self-attention for human activity decoding using wearables | May 2, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Appliance Detection Using Very Low-Frequency Smart Meter Time Series | May 10, 2023 | Meter ReadingTime Series | CodeCode Available | 1 | 5 |
| Deep Counterfactual Estimation with Categorical Background Variables | Oct 11, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Accelerating Recurrent Neural Networks for Gravitational Wave Experiments | Jun 26, 2021 | High-Level SynthesisTime Series | CodeCode Available | 1 | 5 |
| Deep Dynamic Factor Models | Jul 23, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data | May 5, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Deep Explicit Duration Switching Models for Time Series | Oct 26, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Benchmarks and Custom Package for Energy Forecasting | Jul 14, 2023 | Feature EngineeringLoad Forecasting | CodeCode Available | 1 | 5 |
| FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities | Oct 30, 2024 | Irregular Time SeriesMissing Values | CodeCode Available | 1 | 5 |
| An Empirical Evaluation of Time-Series Feature Sets | Oct 21, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection | Feb 15, 2022 | Anomaly DetectionMissing Values | CodeCode Available | 1 | 5 |
| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 | 5 |
| Mamba time series forecasting with uncertainty quantification | Mar 13, 2025 | MambaProbabilistic Time Series Forecasting | CodeCode Available | 1 | 5 |
| Deep Latent State Space Models for Time-Series Generation | Dec 24, 2022 | State Space ModelsTime Series | CodeCode Available | 1 | 5 |
| Deep Isolation Forest for Anomaly Detection | Jun 14, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Benchmark time series data sets for PyTorch -- the torchtime package | Jul 25, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting | Dec 15, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| FLAIR #2: textural and temporal information for semantic segmentation from multi-source optical imagery | May 23, 2023 | Earth ObservationSemantic Segmentation | CodeCode Available | 1 | 5 |
| Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series | May 6, 2024 | DiagnosticTime Series | CodeCode Available | 1 | 5 |
| Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey | Feb 6, 2023 | Activity RecognitionClassification | CodeCode Available | 1 | 5 |
| FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space | Oct 30, 2023 | Contrastive LearningTime Series | CodeCode Available | 1 | 5 |
| Deep reconstruction of strange attractors from time series | Feb 14, 2020 | Dimensionality ReductionTime Series | CodeCode Available | 1 | 5 |
| DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting | Jun 11, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model | Jun 5, 2020 | ClassificationDiagnostic | CodeCode Available | 1 | 5 |
| MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images | Jul 14, 2022 | Mortality PredictionPhenotype classification | CodeCode Available | 1 | 5 |
| BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition | Aug 28, 2023 | Computational EfficiencyGaussian Processes | CodeCode Available | 1 | 5 |
| MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling | Dec 12, 2022 | DecoderGraph Learning | CodeCode Available | 1 | 5 |
| Finding Scientific Topics in Continuously Growing Text Corpora | Oct 1, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease Progression | May 6, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| Fine-grained Attention in Hierarchical Transformers for Tabular Time-series | Jun 21, 2024 | Time Series | CodeCode Available | 1 | 5 |
| Meta-learning framework with applications to zero-shot time-series forecasting | Feb 7, 2020 | Meta-LearningTime Series | CodeCode Available | 1 | 5 |
| Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting | Jul 6, 2020 | Graph GenerationGraph Neural Network | CodeCode Available | 1 | 5 |
| DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales | Apr 9, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Deep Stock Predictions | Jun 8, 2020 | Portfolio OptimizationPrediction | CodeCode Available | 1 | 5 |
| Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting | Sep 10, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks | Jun 18, 2021 | Graph AttentionTime Series | CodeCode Available | 1 | 5 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful | Jan 22, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| Deeptime: a Python library for machine learning dynamical models from time series data | Oct 28, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| An efficient aggregation method for the symbolic representation of temporal data | Jan 14, 2022 | Dimensionality ReductionInformation Retrieval | CodeCode Available | 1 | 5 |
