| Neural Information Squeezer for Causal Emergence | Jan 25, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Neural Jump Stochastic Differential Equations | May 24, 2019 | Point ProcessesTime Series | CodeCode Available | 1 | 5 |
| From Time Series to Networks in R with the ts2net Package | Aug 20, 2022 | Graph MiningTime Series | CodeCode Available | 1 | 5 |
| Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting | Feb 11, 2025 | Time Series | CodeCode Available | 1 | 5 |
| A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware | Jul 8, 2021 | Question AnsweringTime Series | CodeCode Available | 1 | 5 |
| Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting | Aug 5, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting | Apr 21, 2022 | Decision MakingPrediction Intervals | CodeCode Available | 1 | 5 |
| A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges | Jan 25, 2025 | Anomaly DetectionDiversity | CodeCode Available | 1 | 5 |
| FRUITS: Feature Extraction Using Iterated Sums for Time Series Classification | Nov 24, 2023 | Time SeriesTime Series Classification | CodeCode Available | 1 | 5 |
| Dynamical Wasserstein Barycenters for Time-series Modeling | Oct 13, 2021 | State EstimationTime Series | CodeCode Available | 1 | 5 |
| FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding | May 29, 2024 | Change DetectionSegmentation | CodeCode Available | 1 | 5 |
| ARMA Cell: A Modular and Effective Approach for Neural Autoregressive Modeling | Aug 31, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series | Mar 3, 2021 | ClusteringTime Series | CodeCode Available | 1 | 5 |
| DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems | Jul 7, 2023 | Anomaly DetectionFault Detection | CodeCode Available | 1 | 5 |
| Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding | Mar 17, 2022 | Crop ClassificationTime Series | CodeCode Available | 1 | 5 |
| FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts | Jan 25, 2025 | Mixture-of-ExpertsPrediction | CodeCode Available | 1 | 5 |
| Non-Exchangeable Conformal Risk Control | Oct 2, 2023 | Conformal PredictionTime Series | CodeCode Available | 1 | 5 |
| Non-Gaussian Gaussian Processes for Few-Shot Regression | Oct 26, 2021 | Few-Shot LearningGaussian Processes | CodeCode Available | 1 | 5 |
| Early Abandoning and Pruning for Elastic Distances including Dynamic Time Warping | Feb 10, 2021 | ClusteringDynamic Time Warping | CodeCode Available | 1 | 5 |
| EarthPT: a time series foundation model for Earth Observation | Sep 13, 2023 | Earth ObservationTime Series | CodeCode Available | 1 | 5 |
| Benchmarks and Custom Package for Energy Forecasting | Jul 14, 2023 | Feature EngineeringLoad Forecasting | CodeCode Available | 1 | 5 |
| DYNOTEARS: Structure Learning from Time-Series Data | Feb 2, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| NRTSI: Non-Recurrent Time Series Imputation | Feb 5, 2021 | ImputationTime Series | CodeCode Available | 1 | 5 |
| NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge | Sep 9, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting | Jan 23, 2025 | DiversityMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Early Classification of Time Series: Taxonomy and Benchmark | Jun 26, 2024 | ClassificationEarly Classification | CodeCode Available | 1 | 5 |
| Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning | Dec 30, 2024 | Contrastive LearningLinear evaluation | CodeCode Available | 1 | 5 |
| Foundation Models Knowledge Distillation For Battery Capacity Degradation Forecast | May 13, 2025 | Knowledge DistillationTime Series | CodeCode Available | 1 | 5 |
| EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals | Jun 5, 2018 | Data AugmentationEEG | CodeCode Available | 1 | 5 |
| One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data | Feb 13, 2023 | AllTime Series | CodeCode Available | 1 | 5 |
| Benchmarking Deep Learning Interpretability in Time Series Predictions | Oct 26, 2020 | BenchmarkingDeep Learning | CodeCode Available | 1 | 5 |
| Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series | Feb 7, 2024 | Prediction IntervalsTime Series | CodeCode Available | 1 | 5 |
| Effectively Modeling Time Series with Simple Discrete State Spaces | Mar 16, 2023 | State Space ModelsTime Series | CodeCode Available | 1 | 5 |
| Benchmark time series data sets for PyTorch -- the torchtime package | Jul 25, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Efficient Cross-Validation of Echo State Networks | Aug 22, 2019 | One-Shot LearningTime Series | CodeCode Available | 1 | 5 |
| Efficient implementations of echo state network cross-validation | Jun 19, 2020 | One-Shot LearningTime Series | CodeCode Available | 1 | 5 |
| Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs | Jun 28, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| 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 | 5 |
| Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction | Nov 11, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| FrAug: Frequency Domain Augmentation for Time Series Forecasting | Feb 18, 2023 | Anomaly DetectionData Augmentation | CodeCode Available | 1 | 5 |
| FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification | May 29, 2025 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 | 5 |
| Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study | May 16, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 | 5 |
| Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model | Jun 5, 2020 | ClassificationDiagnostic | CodeCode Available | 1 | 5 |
| Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning | Oct 13, 2022 | Data AugmentationTime Series | CodeCode Available | 1 | 5 |
| Forecasting with time series imaging | Apr 17, 2019 | Model SelectionTime Series | CodeCode Available | 1 | 5 |
| Adjusting for Autocorrelated Errors in Neural Networks for Time Series | Jan 28, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition | Aug 28, 2023 | Computational EfficiencyGaussian Processes | CodeCode Available | 1 | 5 |
| Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecasting | Dec 29, 2023 | AttributeEnsemble Learning | CodeCode Available | 1 | 5 |
| Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping | Nov 26, 2021 | Dynamic Time WarpingTime Series | CodeCode Available | 1 | 5 |
| ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting | Feb 11, 2020 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
