| An Evaluation of Change Point Detection Algorithms | Mar 13, 2020 | Change Point DetectionTime Series | CodeCode Available | 1 | 5 |
| Deep Attentive Time Warping | Sep 13, 2023 | Dynamic Time WarpingMetric Learning | CodeCode Available | 1 | 5 |
| Adversarial Attacks on Probabilistic Autoregressive Forecasting Models | Mar 8, 2020 | Decision MakingTime Series | CodeCode Available | 1 | 5 |
| Deep Contrastive One-Class Time Series Anomaly Detection | Jul 4, 2022 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 | 5 |
| Adversarial Attacks on Time Series | Feb 27, 2019 | ClassificationDynamic Time Warping | CodeCode Available | 1 | 5 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful | Jan 22, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| An Evaluation of Deep Learning Models for Stock Market Trend Prediction | Aug 22, 2024 | DenoisingTime Series | CodeCode Available | 1 | 5 |
| Deep Counterfactual Estimation with Categorical Background Variables | Oct 11, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations | Apr 13, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Inductive Graph Neural Networks for Spatiotemporal Kriging | Jun 13, 2020 | Graph Neural NetworkTime Series | CodeCode Available | 1 | 5 |
