| Physics-informed Information Field Theory for Modeling Physical Systems with Uncertainty Quantification | Jan 18, 2023 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management | Jun 21, 2022 | BIG-bench Machine LearningManagement | CodeCode Available | 1 | 5 |
| Copula Conformal Prediction for Multi-step Time Series Forecasting | Dec 6, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics | Jun 6, 2021 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| AutoIP: A United Framework to Integrate Physics into Gaussian Processes | Feb 24, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 1 | 5 |
| Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations | Dec 2, 2023 | Active LearningGaussian Processes | CodeCode Available | 1 | 5 |
| Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization | Feb 24, 2025 | Bayesian OptimizationUncertainty Quantification | CodeCode Available | 1 | 5 |
| Posterior Sampling for Deep Reinforcement Learning | Apr 30, 2023 | Computational EfficiencyDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays | Aug 27, 2024 | AnatomyComputed Tomography (CT) | CodeCode Available | 1 | 5 |
| Distribution-free binary classification: prediction sets, confidence intervals and calibration | Jun 18, 2020 | Binary ClassificationClassification | CodeCode Available | 1 | 5 |
