| 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 |