| An Evaluation of Change Point Detection Algorithms | Mar 13, 2020 | Change Point DetectionTime Series | CodeCode Available | 1 | 5 |
| Deep Explicit Duration Switching Models for Time Series | Oct 26, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Adversarial Attacks on Probabilistic Autoregressive Forecasting Models | Mar 8, 2020 | Decision MakingTime Series | CodeCode Available | 1 | 5 |
| Instance-wise Graph-based Framework for Multivariate Time Series Forecasting | Sep 14, 2021 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Adversarial Attacks on Time Series | Feb 27, 2019 | ClassificationDynamic Time Warping | CodeCode Available | 1 | 5 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful | Jan 22, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| An Evaluation of Deep Learning Models for Stock Market Trend Prediction | Aug 22, 2024 | DenoisingTime Series | 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 |
| Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations | Apr 13, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Deep Isolation Forest for Anomaly Detection | Jun 14, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Neighborhood Contrastive Learning Applied to Online Patient Monitoring | Jun 9, 2021 | BIG-bench Machine LearningContrastive Learning | CodeCode Available | 1 | 5 |
| NetDiffus: Network Traffic Generation by Diffusion Models through Time-Series Imaging | Sep 23, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Integrating LSTMs and GNNs for COVID-19 Forecasting | Jul 14, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural Networks | Jan 1, 2021 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Neural Rough Differential Equations for Long Time Series | Sep 17, 2020 | Irregular Time SeriesTime Series | CodeCode Available | 1 | 5 |
| Bayesian Neural Architecture Search using A Training-Free Performance Metric | Jan 29, 2020 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 1 | 5 |
| PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimation | Aug 16, 2024 | Blood pressure estimationContrastive Learning | CodeCode Available | 1 | 5 |
| BolT: Fused Window Transformers for fMRI Time Series Analysis | May 23, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series | Jan 26, 2023 | Bayesian InferenceImputation | CodeCode Available | 1 | 5 |
| Neural Controlled Differential Equations for Irregular Time Series | May 18, 2020 | Irregular Time SeriesTime Series | CodeCode Available | 1 | 5 |
| Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series | Oct 19, 2023 | DiversityFeature Engineering | CodeCode Available | 1 | 5 |
| Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | May 24, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| A Synthetic Texas Power System with Time-Series Weather-Dependent Spatiotemporal Profiles | Feb 26, 2023 | Time SeriesTime Series Analysis | 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 |
| Neural Jump Stochastic Differential Equations | May 24, 2019 | Point ProcessesTime Series | CodeCode Available | 1 | 5 |
| Deep Learning Statistical Arbitrage | Jun 8, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Neural ODE Processes | Mar 23, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Neural ODE Processes: A Short Summary | Sep 27, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization | Jul 4, 2023 | Data AugmentationDecision Making | CodeCode Available | 1 | 5 |
| Instance-based Counterfactual Explanations for Time Series Classification | Sep 28, 2020 | Classificationcounterfactual | CodeCode Available | 1 | 5 |
| Deep Semi-Supervised Learning for Time Series Classification | Feb 6, 2021 | ClassificationData Augmentation | CodeCode Available | 1 | 5 |
| DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing | Nov 7, 2016 | Activity RecognitionGeneral Classification | CodeCode Available | 1 | 5 |
| Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform | May 22, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition | Aug 28, 2023 | Computational EfficiencyGaussian Processes | 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 |
| Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model | Jun 5, 2020 | ClassificationDiagnostic | CodeCode Available | 1 | 5 |
| Adversarial Sparse Transformer for Time Series Forecasting | Dec 1, 2020 | Multivariate Time Series ForecastingPrediction | 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 |
| Inferring networks from time series: a neural approach | Mar 30, 2023 | parameter estimationregression | CodeCode Available | 1 | 5 |
| 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 | 5 |
| BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis | Jan 12, 2024 | Time Series | CodeCode Available | 1 | 5 |
| Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping | May 1, 2023 | ManagementTime Series | CodeCode Available | 1 | 5 |
| Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case | Jan 23, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 | 5 |
| Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference | Mar 6, 2024 | Contrastive LearningTime Series | CodeCode Available | 1 | 5 |
| DeepVARwT: Deep Learning for a VAR Model with Trend | Sep 21, 2022 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 | 5 |
| DeepVATS: Deep Visual Analytics for Time Series | Feb 8, 2023 | Time SeriesTime Series Analysis | 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 |
| Inferring Event Descriptions from Time Series with Language Models | Mar 18, 2025 | Time Series | CodeCode Available | 1 | 5 |
| Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting | Dec 14, 2020 | DecoderMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
