papers
Publications (2)
cs.MS2024
BlackJAX: Composable Bayesian inference in JAX
Alberto Cabezas, Adrien Corenflos, Junpeng Lao +19
BlackJAX is a library implementing sampling and variational inference algorithms commonly used in Bayesian computation. It is designed for ease of use, speed, and modularity by tak…
cs.CV2023
Rescuing referral failures during automated diagnosis of domain-shifted medical images
Anuj Srivastava, Karm Patel, Pradeep Shenoy +1
The success of deep learning models deployed in the real world depends critically on their ability to generalize well across diverse data domains. Here, we address a fundamental ch…