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| Learning Hidden Physics and System Parameters with Deep Operator Networks | Dec 6, 2024 | BenchmarkingUncertainty Quantification | —Unverified | 0 | 0 |
| Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting | Feb 22, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Learning Multivariate CDFs and Copulas using Tensor Factorization | Oct 13, 2022 | ImputationUncertainty Quantification | —Unverified | 0 | 0 |
| Learning Personalized Utility Functions for Drivers in Ride-hailing Systems Using Ensemble Hypernetworks | Jun 21, 2025 | Ensemble LearningUncertainty Quantification | —Unverified | 0 | 0 |
| Learning Prediction Intervals for Regression: Generalization and Calibration | Feb 26, 2021 | Learning TheoryPrediction | —Unverified | 0 | 0 |
| Learning signals defined on graphs with optimal transport and Gaussian process regression | Oct 21, 2024 | Active LearningDimensionality Reduction | —Unverified | 0 | 0 |
| Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks | Apr 4, 2024 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification | May 15, 2023 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 | 0 |
| Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation | Jul 31, 2020 | Depth EstimationSemantic Segmentation | —Unverified | 0 | 0 |