| Bayesian Continual Learning via Spiking Neural Networks | Aug 29, 2022 | Continual LearningManagement | CodeCode Available | 0 |
| Multi-Source Conformal Inference Under Distribution Shift | May 15, 2024 | Decision MakingLength-of-Stay prediction | CodeCode Available | 0 |
| Supervised Kernel Thinning | Oct 17, 2024 | Computational Efficiencyregression | CodeCode Available | 0 |
| Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries | Mar 4, 2023 | DiversityRepresentation Learning | CodeCode Available | 0 |
| Supervised Uncertainty Quantification for Segmentation with Multiple Annotations | Jul 3, 2019 | DiversitySegmentation | CodeCode Available | 0 |
| A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks | Feb 28, 2024 | Uncertainty Quantification | CodeCode Available | 0 |
| Revisiting Bayesian Autoencoders with MCMC | Apr 13, 2021 | Bayesian InferenceDeep Learning | CodeCode Available | 0 |
| Debiased Bayesian inference for average treatment effects | Sep 26, 2019 | Bayesian InferenceCausal Inference | CodeCode Available | 0 |
| Surrogate-assisted Bayesian inversion for landscape and basin evolution models | Dec 12, 2018 | Bayesian InferenceComputational Efficiency | CodeCode Available | 0 |
| Building Conformal Prediction Intervals with Approximate Message Passing | Oct 21, 2024 | BenchmarkingConformal Prediction | CodeCode Available | 0 |
