| Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification | Nov 8, 2021 | Image-to-Image RegressionUncertainty Quantification | CodeCode Available | 0 |
| Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics | May 23, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| The Implicit Delta Method | Nov 11, 2022 | Uncertainty Quantification | CodeCode Available | 0 |
| Uncertainty in Neural Networks: Approximately Bayesian Ensembling | Oct 12, 2018 | Bayesian InferenceGeneral Classification | CodeCode Available | 0 |
| The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions | May 16, 2019 | Uncertainty Quantification | CodeCode Available | 0 |
| On Subjective Uncertainty Quantification and Calibration in Natural Language Generation | Jun 7, 2024 | In-Context LearningMachine Translation | CodeCode Available | 0 |
| Quasi-Bayesian Dual Instrumental Variable Regression | Jun 16, 2021 | Bayesian Inferenceregression | CodeCode Available | 0 |
| On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors | Mar 13, 2024 | Uncertainty Quantification | CodeCode Available | 0 |
| Epistemic Uncertainty Quantification in Deep Learning Classification by the Delta Method | Dec 2, 2019 | Deep LearningGeneral Classification | CodeCode Available | 0 |
| Bayesian Active Learning By Distribution Disagreement | Jan 2, 2025 | Active Learningregression | CodeCode Available | 0 |
| Gaussian Process Subspace Regression for Model Reduction | Jul 9, 2021 | modelModel Selection | CodeCode Available | 0 |
| Bi-fidelity Variational Auto-encoder for Uncertainty Quantification | May 25, 2023 | Computational EfficiencyDecoder | CodeCode Available | 0 |
| Adaptive Shrinkage Estimation For Personalized Deep Kernel Regression In Modeling Brain Trajectories | Apr 10, 2025 | Additive modelsBenchmarking | CodeCode Available | 0 |
| Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems | Oct 18, 2023 | Image ReconstructionUncertainty Quantification | CodeCode Available | 0 |
| EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations | Mar 27, 2025 | Operator learningUncertainty Quantification | CodeCode Available | 0 |
| UQSA -- An R-Package for Uncertainty Quantification and Sensitivity Analysis for Biochemical Reaction Network Models | Aug 10, 2023 | SensitivityUncertainty Quantification | CodeCode Available | 0 |
| Generalised Linear Models for Dependent Binary Outcomes with Applications to Household Stratified Pandemic Influenza Data | Nov 27, 2019 | Model SelectionUncertainty Quantification | CodeCode Available | 0 |
| Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception | Feb 11, 2025 | Conformal PredictionUncertainty Quantification | CodeCode Available | 0 |
| The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks | May 14, 2024 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 |
| Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning | May 12, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| On the optimization and pruning for Bayesian deep learning | Oct 24, 2022 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification | Nov 20, 2022 | Uncertainty Quantification | CodeCode Available | 0 |
| On the Role of Surrogates in Conformal Inference of Individual Causal Effects | Dec 16, 2024 | Causal InferenceConformal Prediction | CodeCode Available | 0 |
| Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels | Oct 9, 2023 | Equation Discoveryregression | CodeCode Available | 0 |
| Epistemic Uncertainty in Conformal Scores: A Unified Approach | Feb 10, 2025 | Conformal PredictionGaussian Processes | CodeCode Available | 0 |