PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain M...
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
Conformal prediction for time-series applications.
implementing "recurrent attentive neural processes" to forecast power us...
Bayesian dessert for Lasagne
Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"
Density estimation using Gaussian mixtures in the presence of noisy, het...
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2...
Sandia Uncertainty Quantification Toolkit
Some notebooks
Code for "Estimating and Evaluating Regression Predictive Uncertainty in...
noisy labels; missing labels; semi-supervised learning; entropy; uncerta...
Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural N...
Ranked Programming Extension for Racket
Multi Task Learning Implementation with Homoscedastic Uncertainty in Ten...