2 papers
cs.LG2025
Variational Bayesian Optimal Experimental Design with Normalizing Flows
Jiayuan Dong, Christian Jacobsen, Mehdi Khalloufi +4
Bayesian optimal experimental design (OED) seeks experiments that maximize the expected information gain (EIG) in model parameters. Directly estimating the EIG using nested Monte C…
cs.LG2024
CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems
Christian Jacobsen, Yilin Zhuang, Karthik Duraisamy
Recent advances in generative artificial intelligence have had a significant impact on diverse domains spanning computer vision, natural language processing, and drug discovery. Th…