| Adjusting for Autocorrelated Errors in Neural Networks for Time Series | Jan 28, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Path Development Network with Finite-dimensional Lie Group Representation | Apr 2, 2022 | Dimensionality ReductionIrregular Time Series | CodeCode Available | 1 |
| Paying Attention to Astronomical Transients: Introducing the Time-series Transformer for Photometric Classification | May 13, 2021 | Classificationfeature selection | CodeCode Available | 1 |
| PCF-GAN: generating sequential data via the characteristic function of measures on the path space | May 21, 2023 | Time SeriesTime Series Generation | CodeCode Available | 1 |
| Contrastive Neural Processes for Self-Supervised Learning | Oct 24, 2021 | Contrastive LearningData Augmentation | CodeCode Available | 1 |
| Convolution-enhanced Evolving Attention Networks | Dec 16, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction | Mar 31, 2020 | Spatio-Temporal ForecastingTime Series | CodeCode Available | 1 |
| Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach | Mar 22, 2023 | Earth ObservationSegmentation | CodeCode Available | 1 |
| Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series | Oct 21, 2023 | Contrastive LearningEEG | CodeCode Available | 1 |
| Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration | Jun 25, 2024 | Change DetectionMulti-Task Learning | CodeCode Available | 1 |
| Contrastive Difference Predictive Coding | Oct 31, 2023 | Representation LearningTime Series | CodeCode Available | 1 |
| An Analysis of Linear Time Series Forecasting Models | Mar 21, 2024 | Formregression | CodeCode Available | 1 |
| Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis | Aug 5, 2024 | ClassificationEEG | CodeCode Available | 1 |
| Predicting Patient Outcomes with Graph Representation Learning | Jan 11, 2021 | Graph Representation LearningLength-of-Stay prediction | CodeCode Available | 1 |
| Predictive Modeling of Menstrual Cycle Length: A Time Series Forecasting Approach | Jun 11, 2023 | regressionTime Series | CodeCode Available | 1 |
| A Synthetic Texas Power System with Time-Series Weather-Dependent Spatiotemporal Profiles | Feb 26, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Contrastive Learning for Unsupervised Domain Adaptation of Time Series | Jun 13, 2022 | Contrastive LearningDomain Adaptation | CodeCode Available | 1 |
| Price graphs: Utilizing the structural information of financial time series for stock prediction | Jun 4, 2021 | Stock PredictionTime Series | CodeCode Available | 1 |
| Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality | Aug 2, 2020 | Generalization BoundsTime Series | CodeCode Available | 1 |
| Copula Conformal Prediction for Multi-step Time Series Forecasting | Dec 6, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer | May 20, 2022 | Contrastive LearningRepresentation Learning | CodeCode Available | 1 |
| Probabilistic Numeric Convolutional Neural Networks | Oct 21, 2020 | Gaussian ProcessesMissing Values | CodeCode Available | 1 |
| Deep Explicit Duration Switching Models for Time Series | Oct 26, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Probabilistic Time Series Forecasting with Shape and Temporal Diversity | Dec 1, 2020 | DiversityPoint Processes | CodeCode Available | 1 |
| AA-Forecast: Anomaly-Aware Forecast for Extreme Events | Aug 21, 2022 | Anomaly ForecastingMultivariate Time Series Forecasting | CodeCode Available | 1 |
| Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data | Sep 12, 2020 | DenoisingDiversity | CodeCode Available | 1 |
| DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load | Feb 21, 2024 | DenoisingLoad Forecasting | CodeCode Available | 1 |
| Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series | Apr 12, 2023 | Dynamic Time WarpingTime Series | CodeCode Available | 1 |
| Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain | Oct 8, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting | Dec 15, 2022 | DecoderSaliency Detection | 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 |
| Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting | Sep 29, 2021 | Decision MakingManagement | CodeCode Available | 1 |
| Neural graphical modelling in continuous-time: consistency guarantees and algorithms | May 6, 2021 | Causal DiscoveryGraph Learning | CodeCode Available | 1 |
| QUANT: A Minimalist Interval Method for Time Series Classification | Aug 2, 2023 | ClassificationCPU | CodeCode Available | 1 |
| A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling | Dec 16, 2021 | Multivariate Time Series ForecastingPrediction Intervals | CodeCode Available | 1 |
| Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series | Feb 15, 2021 | ImputationTime Series | CodeCode Available | 1 |
| Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data | Jun 18, 2020 | Causal DiscoveryTime Series | CodeCode Available | 1 |
| Real-time Air Pollution prediction model based on Spatiotemporal Big data | Apr 5, 2018 | Air Pollution PredictionPrediction | CodeCode Available | 1 |
| Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series | Oct 8, 2024 | Computational EfficiencyIrregular Time Series | CodeCode Available | 1 |
| Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling | Mar 4, 2024 | Time Series | CodeCode Available | 1 |
| ASTRIDE: Adaptive Symbolization for Time Series Databases | Feb 8, 2023 | Change Point DetectionQuantization | CodeCode Available | 1 |
| ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting | Feb 24, 2025 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs | Dec 16, 2023 | Time SeriesVariational Inference | CodeCode Available | 1 |
| An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting | Oct 16, 2020 | Meta-Learningregression | CodeCode Available | 1 |
| Time series forecasting with Gaussian Processes needs priors | Sep 17, 2020 | Gaussian ProcessesTime Series | CodeCode Available | 1 |
| Remaining Useful Life Prediction for Aircraft Engines using LSTM | Jan 15, 2024 | PredictionTemporal Sequences | CodeCode Available | 1 |
| Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks | May 24, 2020 | Graph LearningGraph Neural Network | CodeCode Available | 1 |
| An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series Classification | Apr 16, 2021 | Binary ClassificationGeneral Classification | CodeCode Available | 1 |
| Conformal Time-series Forecasting | Dec 1, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting | Mar 8, 2024 | Time Series | CodeCode Available | 1 |
