| AGNet: Weighing Black Holes with Deep Learning | Aug 17, 2021 | Deep LearningTime 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 |
| Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey | Feb 6, 2023 | Activity RecognitionClassification | CodeCode Available | 1 |
| Deep reconstruction of strange attractors from time series | Feb 14, 2020 | Dimensionality ReductionTime Series | CodeCode Available | 1 |
| Adaptive Conformal Predictions for Time Series | Feb 15, 2022 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease Progression | May 6, 2020 | ImputationMissing Values | CodeCode Available | 1 |
| Accelerating Recurrent Neural Networks for Gravitational Wave Experiments | Jun 26, 2021 | High-Level SynthesisTime Series | CodeCode Available | 1 |
| Deep Stock Predictions | Jun 8, 2020 | Portfolio OptimizationPrediction | CodeCode Available | 1 |
| CUTS: Neural Causal Discovery from Irregular Time-Series Data | Feb 15, 2023 | Causal DiscoveryGraph Neural Network | 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 |
| D3A-TS: Denoising-Driven Data Augmentation in Time Series | Dec 9, 2023 | Data AugmentationDenoising | CodeCode Available | 1 |
| Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case | Jan 23, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 |
| Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark | Dec 15, 2023 | Activity RecognitionDomain Adaptation | CodeCode Available | 1 |
| DeepVARwT: Deep Learning for a VAR Model with Trend | Sep 21, 2022 | Deep LearningTime Series | CodeCode Available | 1 |
| Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs | Dec 16, 2023 | Time SeriesVariational Inference | CodeCode Available | 1 |
| DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting | Mar 15, 2022 | SchedulingTime Series | CodeCode Available | 1 |
| Detecting Anomalies within Time Series using Local Neural Transformations | Feb 8, 2022 | Anomaly DetectionEpidemiology | CodeCode Available | 1 |
| Detecting Looted Archaeological Sites from Satellite Image Time Series | Sep 14, 2024 | Time Series | CodeCode Available | 1 |
| Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data | Apr 16, 2021 | BenchmarkingCausal Discovery | CodeCode Available | 1 |
| Differentiable Divergences Between Time Series | Oct 16, 2020 | Dynamic Time WarpingTime Series | CodeCode Available | 1 |
| Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting | Jul 6, 2020 | Graph GenerationGraph Neural Network | CodeCode Available | 1 |
| Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting | Oct 8, 2024 | DecoderDenoising | CodeCode Available | 1 |
| Decoupling Local and Global Representations of Time Series | Feb 4, 2022 | counterfactualTime Series | CodeCode Available | 1 |
| Diffusion Transformers for Tabular Data Time Series Generation | Apr 10, 2025 | Tabular Data GenerationTime Series | CodeCode Available | 1 |
| Deep Isolation Forest for Anomaly Detection | Jun 14, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 |
