Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks

6 September 2023

Papers citing "Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks"

4 / 4 papers shown

Title
Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Sanket R. Jantre Tianle Wang Gilchan Park Kriti Chopra Nicholas Jeon Xiaoning Qian Nathan M. Urban Byung-Jun Yoon 57 0 0 10 Feb 2025
Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders Naﬁz Abeer Sanket R. Jantre Nathan M. Urban Byung-Jun Yoon 41 0 0 31 May 2024
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design A. N. M. N. Abeer Sanket R. Jantre Nathan M. Urban Byung-Jun Yoon 33 1 0 30 Apr 2024
Bayesian Semi-structured Subspace Inference Daniel Dold David Rügamer Beate Sick Oliver Durr BDL 24 1 0 23 Jan 2024