| Cross-Camera Human Motion Transfer by Time Series Analysis | Sep 29, 2021 | Pose EstimationTime Series | CodeCode Available | 0 |
| TrueSkill Through Time: Revisiting the History of Chess | Dec 3, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Tropical time series, iterated-sums signatures and quasisymmetric functions | Sep 17, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series | Oct 5, 2022 | AstronomyDecoder | CodeCode Available | 0 |
| Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification | Jun 18, 2024 | channel selectionTime Series | CodeCode Available | 0 |
| Data-driven detrending of nonstationary fractal time series with echo state networks | Oct 24, 2015 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Tree Echo State Autoencoders with Grammars | Apr 19, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Data-Driven Copy-Paste Imputation for Energy Time Series | Jan 5, 2021 | Fault DetectionImputation | CodeCode Available | 0 |
| Transport with Support: Data-Conditional Diffusion Bridges | Jan 31, 2023 | Time Series | CodeCode Available | 0 |
| TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation | May 15, 2025 | Domain AdaptationPseudo Label | CodeCode Available | 0 |
| Transparent Networks for Multivariate Time Series | Oct 14, 2024 | Additive modelsTime Series | CodeCode Available | 0 |
| TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection | Nov 29, 2023 | Anomaly DetectionComputational Efficiency | CodeCode Available | 0 |
| Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML | Mar 2, 2021 | AutoMLBIG-bench Machine Learning | CodeCode Available | 0 |
| Transform-Invariant Non-Parametric Clustering of Covariance Matrices and its Application to Unsupervised Joint Segmentation and Action Discovery | Oct 27, 2017 | ClusteringTime Series | CodeCode Available | 0 |
| Transformer Training Strategies for Forecasting Multiple Load Time Series | Jun 19, 2023 | Load ForecastingTime Series | CodeCode Available | 0 |
| Transformers predicting the future. Applying attention in next-frame and time series forecasting | Aug 18, 2021 | Dimensionality ReductionTime Series | CodeCode Available | 0 |
| Improving Forecasts for Heterogeneous Time Series by "Averaging", with Application to Food Demand Forecast | Jun 12, 2023 | Dynamic Time WarpingTime Series | CodeCode Available | 0 |
| Data Consistency Approach to Model Validation | Aug 17, 2018 | modelTime Series | CodeCode Available | 0 |
| Transformer Multivariate Forecasting: Less is More? | Dec 30, 2023 | Temporal SequencesTime Series | CodeCode Available | 0 |
| Improving Estimation of the Koopman Operator with Kolmogorov-Smirnov Indicator Functions | Jun 9, 2023 | Time Series | CodeCode Available | 0 |
| Data augmentation using synthetic data for time series classification with deep residual networks | Aug 7, 2018 | Data AugmentationDynamic Time Warping | CodeCode Available | 0 |
| Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time | Jan 1, 2020 | BIG-bench Machine LearningNumerical Integration | CodeCode Available | 0 |
| Transfer Learning in ECG Diagnosis: Is It Effective? | Feb 3, 2024 | ECG ClassificationTime Series | CodeCode Available | 0 |
| Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series | Oct 24, 2023 | ClusteringLoad Forecasting | CodeCode Available | 0 |
| Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks | Jan 12, 2022 | Data AugmentationTime Series | CodeCode Available | 0 |
| A toolkit for data-driven discovery of governing equations in high-noise regimes | Nov 8, 2021 | Equation DiscoveryModel Discovery | CodeCode Available | 0 |
| A deep learning architecture to detect events in EEG signals during sleep | Jul 11, 2018 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 |
| Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual | May 5, 2021 | Decision MakingTime Series | CodeCode Available | 0 |
| Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis | Jul 9, 2022 | Data AugmentationDynamic Time Warping | CodeCode Available | 0 |
| Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain | Mar 21, 2019 | General ClassificationTime Series | CodeCode Available | 0 |
| Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling | Sep 22, 2024 | Image GenerationTime Series | CodeCode Available | 0 |
| Trading via Image Classification | Jul 23, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Implet: A Post-hoc Subsequence Explainer for Time Series Models | May 13, 2025 | Time SeriesTime Series Classification | CodeCode Available | 0 |
| Implementing spectral methods for hidden Markov models with real-valued emissions | Apr 29, 2014 | parameter estimationTime Series | CodeCode Available | 0 |
| DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property | Oct 2, 2023 | Time Series | CodeCode Available | 0 |
| T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression | Feb 24, 2023 | ClusteringRepresentation Learning | CodeCode Available | 0 |
| Towards Unbiased Evaluation of Time-series Anomaly Detector | Sep 19, 2024 | Anomaly DetectionFairness | CodeCode Available | 0 |
| Impact of non-stationarity on estimating and modeling empirical copulas of daily stock returns | Jun 26, 2015 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Towards Safe Policy Improvement for Non-Stationary MDPs | Oct 23, 2020 | Decision Makingreinforcement-learning | CodeCode Available | 0 |
| Towards Precision Healthcare: Robust Fusion of Time Series and Image Data | May 24, 2024 | Multimodal Deep LearningTime Series | CodeCode Available | 0 |
| Towards Neural Numeric-To-Text Generation From Temporal Personal Health Data | Jul 11, 2022 | Data SummarizationDecoder | CodeCode Available | 0 |
| Imbedding Deep Neural Networks | Jan 31, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series | Mar 28, 2022 | EpidemiologyTime Series | CodeCode Available | 0 |
| Towards Interpretable Time Series Foundation Models | Jul 10, 2025 | Time Series | CodeCode Available | 0 |
| Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize? | Mar 4, 2024 | Time Series | CodeCode Available | 0 |
| IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records | Jan 9, 2024 | Missing ValuesTime Series | CodeCode Available | 0 |
| Towards Efficient Parametric State Estimation in Circulating Fuel Reactors with Shallow Recurrent Decoder Networks | Mar 11, 2025 | DecoderState Estimation | CodeCode Available | 0 |
| Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning | Jun 6, 2024 | Reinforcement Learning (RL)Time Series | CodeCode Available | 0 |
| Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings | Mar 14, 2024 | Multiple-choiceTime Series | CodeCode Available | 0 |
| If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN | May 3, 2020 | Multivariate Time Series ForecastingProbabilistic Time Series Forecasting | CodeCode Available | 0 |