| Interpretable Latent Variables in Deep State Space Models | Mar 3, 2022 | DecoderState Space Models | —Unverified | 0 |
| Interpretable mixture of experts for time series prediction under recurrent and non-recurrent conditions | Sep 5, 2024 | Mixture-of-ExpertsTime Series | —Unverified | 0 |
| Interpretable Models for Understanding Immersive Simulations | Sep 24, 2019 | Model SelectionTime Series | —Unverified | 0 |
| Automated regime detection in multidimensional time series data using sliced Wasserstein k-means clustering | Oct 2, 2023 | ClusteringTime Series | —Unverified | 0 |
| Deep Hedging, Generative Adversarial Networks, and Beyond | Mar 5, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions | Aug 2, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Deep Haar Scattering Networks in Pattern Recognition: A promising approach | Nov 29, 2018 | ClassificationGeneral Classification | —Unverified | 0 |
| DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior | Nov 18, 2021 | Anomaly DetectionAutonomous Driving | —Unverified | 0 |
| Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks | Jul 12, 2019 | Anomaly DetectionTime Series | —Unverified | 0 |
| Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape | Feb 11, 2023 | ClusteringFeature Importance | —Unverified | 0 |