Eric Nalisnick

Conditional generative modeling for de novo protein design with hierarchical functions

Expressive priors in Bayesian neural networks: Kernel combinations and periodic functions

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images

Foundation models for generalist medical artificial intelligence

Deep learning in histopathology: the path to the clinic

Bayesian Batch Active Learning as Sparse Subset Approximation

Detecting Out-of-Distribution Inputs to Deep Generative Models Using a Test for Typicality.

Learning Priors for Invariance.

On Priors for Bayesian Neural Networks