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| A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area | May 12, 2021 | Bayesian InferenceExperimental Design | CodeCode Available | 1 |
| Neural Unsigned Distance Fields for Implicit Function Learning | Oct 26, 2020 | Multi-target regression | CodeCode Available | 1 |
| Learning the Pareto Front with Hypernetworks | Oct 8, 2020 | FairnessMultiobjective Optimization | CodeCode Available | 1 |
| DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection | Aug 23, 2020 | Fraud DetectionMulti-target regression | CodeCode Available | 1 |
| Boosting on the shoulders of giants in quantum device calibration | May 13, 2020 | BIG-bench Machine LearningFew-Shot Learning | CodeCode Available | 1 |
| Regularization via f-Divergence: An Application to Multi-Oxide Spectroscopic Analysis | Feb 6, 2025 | Multi-target regression | CodeCode Available | 0 |
| Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets | Sep 13, 2024 | Multi-target regressionNeural Architecture Search | CodeCode Available | 0 |
| Multi-Task Learning with Multi-Task Optimization | Mar 24, 2024 | Automated Theorem Provingimage-classification | —Unverified | 0 |
| TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization | Jul 30, 2023 | BenchmarkingMulti-target regression | CodeCode Available | 0 |
