2 papers
cs.LG2025
Physics-Constrained Machine Learning for Chemical Engineering
Angan Mukherjee, Victor M. Zavala
Physics-constrained machine learning (PCML) combines physical models with data-driven approaches to improve reliability, generalizability, and interpretability. Although PCML has s…
stat.ML2025
On the Implementation of a Bayesian Optimization Framework for Interconnected Systems
Leonardo D. González, Victor M. Zavala
Bayesian optimization (BO) is an effective paradigm for the optimization of expensive-to-sample systems. Standard BO learns the performance of a system by using a Gaussian P…