| CUTS+: High-dimensional Causal Discovery from Irregular Time-series | May 10, 2023 | Causal DiscoveryDecision Making | CodeCode Available | 1 |
| Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series | Apr 25, 2024 | Earth ObservationImage Super-Resolution | CodeCode Available | 1 |
| An Experimental Review on Deep Learning Architectures for Time Series Forecasting | Mar 22, 2021 | Deep LearningTime Series | 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 |
| 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 |
| An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks | Nov 29, 2022 | PredictionTime Series | CodeCode Available | 1 |
| Denoising-Aware Contrastive Learning for Noisy Time Series | Jun 7, 2024 | Contrastive LearningDenoising | CodeCode Available | 1 |
| CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation | Jul 7, 2021 | Audio SynthesisImage Generation | CodeCode Available | 1 |
| Detecting Anomalies within Time Series using Local Neural Transformations | Feb 8, 2022 | Anomaly DetectionEpidemiology | CodeCode Available | 1 |
| CUTS: Neural Causal Discovery from Irregular Time-Series Data | Feb 15, 2023 | Causal DiscoveryGraph Neural Network | 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 |
| DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load | Feb 21, 2024 | DenoisingLoad Forecasting | CodeCode Available | 1 |
| Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting | Oct 8, 2024 | DecoderDenoising | 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 |
| Diffusion Generative Models in Infinite Dimensions | Dec 1, 2022 | Time SeriesTime Series Analysis | 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 |
| DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations | Mar 3, 2022 | Decision MakingDisentanglement | CodeCode Available | 1 |
| Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex Dynamics | May 3, 2023 | Time Series | CodeCode Available | 1 |
| Discovering Mixtures of Structural Causal Models from Time Series Data | Oct 10, 2023 | Causal DiscoveryTime Series | CodeCode Available | 1 |
| Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series | Oct 15, 2021 | ClassificationCrop Classification | CodeCode Available | 1 |
| Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA | Jun 17, 2021 | Dimensionality ReductionDisentanglement | 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 |
| Disjoint-CNN for Multivariate Time Series Classification | Jan 20, 2022 | ClassificationDeep Learning | CodeCode Available | 1 |
| Domain Adaptation for Time Series Forecasting via Attention Sharing | Feb 13, 2021 | 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 |
| D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting | Mar 26, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| InceptionTime: Finding AlexNet for Time Series Classification | Sep 11, 2019 | Deep LearningGeneral Classification | CodeCode Available | 1 |
| A biologically plausible neural network for Slow Feature Analysis | Oct 23, 2020 | HippocampusTime Series | CodeCode Available | 1 |
| Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer | May 20, 2022 | Contrastive LearningRepresentation Learning | CodeCode Available | 1 |
| Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting | Aug 5, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Dynamical Wasserstein Barycenters for Time-series Modeling | Oct 13, 2021 | State EstimationTime Series | CodeCode Available | 1 |
| Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality | Mar 11, 2021 | Scene UnderstandingTime Series | CodeCode Available | 1 |
| DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems | Jul 7, 2023 | Anomaly DetectionFault Detection | CodeCode Available | 1 |
| A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction | Jan 31, 2024 | DecoderGraph Learning | CodeCode Available | 1 |
| Dynamic Sparse Network for Time Series Classification: Learning What to "see'' | Dec 19, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series | Oct 10, 2020 | Anomaly DetectionTime Series | 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 |
| Counterfactual Explanations for Machine Learning on Multivariate Time Series Data | Aug 25, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 1 |
| EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals | Jun 5, 2018 | Data AugmentationEEG | 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 |
| Counterfactual Explanations for Time Series Forecasting | Oct 12, 2023 | counterfactualTime Series | CodeCode Available | 1 |
| Efficient data-driven gap filling of satellite image time series using deep neural networks with partial convolutions | Aug 18, 2022 | Image InpaintingTime Series | CodeCode Available | 1 |
| Efficient implementations of echo state network cross-validation | Jun 19, 2020 | One-Shot LearningTime Series | CodeCode Available | 1 |
| Contrastive Domain Adaptation for Time-Series via Temporal Mixup | Dec 3, 2022 | Contrastive LearningDomain Adaptation | CodeCode Available | 1 |
| COVID-19 Data Analysis and Forecasting: Algeria and the World | Jul 19, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| A foundation model with multi-variate parallel attention to generate neuronal activity | Jun 25, 2025 | Seizure DetectionTime Series | CodeCode Available | 1 |
| Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning | Oct 13, 2022 | Data AugmentationTime Series | CodeCode Available | 1 |
| An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space | Nov 26, 2020 | Decision MakingDeep Reinforcement 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 |
