| Building an Automated and Self-Aware Anomaly Detection System | Nov 10, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT | Apr 8, 2021 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Learning Perturbations to Explain Time Series Predictions | May 30, 2023 | Time Series | CodeCode Available | 1 |
| Learning Robust Statistics for Simulation-based Inference under Model Misspecification | May 25, 2023 | Time Series | CodeCode Available | 1 |
| Learning Soft Sparse Shapes for Efficient Time-Series Classification | May 11, 2025 | ClassificationTime Series | CodeCode Available | 1 |
| Learning spatio-temporal patterns with Neural Cellular Automata | Oct 23, 2023 | Time Series | CodeCode Available | 1 |
| An Experimental Review on Deep Learning Architectures for Time Series Forecasting | Mar 22, 2021 | Deep LearningTime Series | CodeCode Available | 1 |
| Benchmarks and Custom Package for Energy Forecasting | Jul 14, 2023 | Feature EngineeringLoad Forecasting | CodeCode Available | 1 |
| Benchmark time series data sets for PyTorch -- the torchtime package | Jul 25, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| ClaSP - Time Series Segmentation | Oct 26, 2021 | Change Point DetectionSegmentation | CodeCode Available | 1 |
