| A Deep Learning Approach to Analyzing Continuous-Time Systems | Sep 25, 2022 | Deep LearningTime Series | CodeCode Available | 1 |
| Deep Attentive Time Warping | Sep 13, 2023 | Dynamic Time WarpingMetric Learning | CodeCode Available | 1 |
| Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series | Oct 21, 2023 | Contrastive LearningEEG | CodeCode Available | 1 |
| Deep Dynamic Factor Models | Jul 23, 2020 | Time SeriesTime Series Analysis | 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 |
| Convolution-enhanced Evolving Attention Networks | Dec 16, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| Context-self contrastive pretraining for crop type semantic segmentation | Apr 9, 2021 | Contrastive LearningSegmentation | CodeCode Available | 1 |
| Deep Learning-based Damage Mapping with InSAR Coherence Time Series | May 24, 2021 | Deep LearningTime Series | CodeCode Available | 1 |
| Attention to Warp: Deep Metric Learning for Multivariate Time Series | Mar 28, 2021 | Dynamic Time WarpingMetric Learning | CodeCode Available | 1 |
| Continual Transformers: Redundancy-Free Attention for Online Inference | Jan 17, 2022 | Action DetectionAudio Classification | CodeCode Available | 1 |
| Neural graphical modelling in continuous-time: consistency guarantees and algorithms | May 6, 2021 | Causal DiscoveryGraph Learning | CodeCode Available | 1 |
| Time series forecasting with Gaussian Processes needs priors | Sep 17, 2020 | Gaussian ProcessesTime Series | CodeCode Available | 1 |
| Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective | Feb 18, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| Deep reconstruction of strange attractors from time series | Feb 14, 2020 | Dimensionality ReductionTime Series | CodeCode Available | 1 |
| Deep Semi-Supervised Learning for Time Series Classification | Feb 6, 2021 | ClassificationData Augmentation | CodeCode Available | 1 |
| DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing | Nov 7, 2016 | Activity RecognitionGeneral Classification | CodeCode Available | 1 |
| Deep Stock Predictions | Jun 8, 2020 | Portfolio OptimizationPrediction | CodeCode Available | 1 |
| Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting | Sep 10, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Automatic Posterior Transformation for Likelihood-Free Inference | May 17, 2019 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications | Jun 17, 2022 | EEGElectroencephalogram (EEG) | CodeCode Available | 1 |
| DeepUnifiedMom: Unified Time-series Momentum Portfolio Construction via Multi-Task Learning with Multi-Gate Mixture of Experts | Jun 13, 2024 | ManagementMixture-of-Experts | CodeCode Available | 1 |
| Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark | Dec 15, 2023 | Activity RecognitionDomain Adaptation | CodeCode Available | 1 |
| DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting | Jun 11, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density Estimation | Oct 5, 2022 | Anomaly DetectionDensity Estimation | CodeCode Available | 1 |
| Denoising-Aware Contrastive Learning for Noisy Time Series | Jun 7, 2024 | Contrastive LearningDenoising | CodeCode Available | 1 |
| DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting | Mar 15, 2022 | SchedulingTime Series | CodeCode Available | 1 |
| Detection of gravitational-wave signals from binary neutron star mergers using machine learning | Jun 2, 2020 | BIG-bench Machine LearningSensitivity | CodeCode Available | 1 |
| DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model | Aug 18, 2023 | DenoisingManagement | CodeCode Available | 1 |
| Differentiable Divergences Between Time Series | Oct 16, 2020 | Dynamic Time WarpingTime Series | CodeCode Available | 1 |
| DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load | Feb 21, 2024 | DenoisingLoad Forecasting | CodeCode Available | 1 |
| Construe: a software solution for the explanation-based interpretation of time series | Mar 17, 2020 | Atrial Fibrillation DetectionHeartbeat Classification | CodeCode Available | 1 |
| Diffusion Generative Models in Infinite Dimensions | Dec 1, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Diffusion Transformers for Tabular Data Time Series Generation | Apr 10, 2025 | Tabular Data GenerationTime Series | CodeCode Available | 1 |
| Continuous Latent Process Flows | Jun 29, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series | Dec 17, 2023 | Time SeriesTime Series Classification | CodeCode Available | 1 |
| Conformal Time-series Forecasting | Dec 1, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| Discovering Nonlinear Relations with Minimum Predictive Information Regularization | Jan 7, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Autoencoder Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm | Sep 9, 2022 | ClusteringClustering Algorithms Evaluation | CodeCode Available | 1 |
| Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting | Nov 26, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model | Apr 6, 2020 | modelTime Series | CodeCode Available | 1 |
| Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting | Feb 18, 2025 | DisentanglementTime Series | CodeCode Available | 1 |
| Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting | Feb 22, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Domain Adaptation for Time Series Under Feature and Label Shifts | Feb 6, 2023 | Domain AdaptationTime Series | CodeCode Available | 1 |
| Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer | Jul 6, 2022 | DenoisingTime Series | CodeCode Available | 1 |
| Conformal prediction set for time-series | Jun 15, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks | May 24, 2020 | Graph LearningGraph Neural Network | CodeCode Available | 1 |
| DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data | Feb 17, 2023 | Anomaly DetectionDiagnostic | CodeCode Available | 1 |
| Conformal Prediction for Time Series with Modern Hopfield Networks | Mar 22, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Conformal prediction for multi-dimensional time series by ellipsoidal sets | Mar 6, 2024 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting | Mar 8, 2024 | Time Series | CodeCode Available | 1 |
