Maximizing information from chemical engineering data sets: Applications to machine learning

25 January 2022

Papers citing "Maximizing information from chemical engineering data sets: Applications to machine learning"

3 / 3 papers shown

Title
Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming Linus Langenkamp Philip Hannebohm Bernhard Bachmann 32 0 0 06 May 2025
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces Alexander Thebelt Calvin Tsay Robert M. Lee Nathan Sudermann-Merx David Walz B. Shafei Ruth Misener UQCV BDL 25 10 0 02 Jul 2022
OMLT: Optimization & Machine Learning Toolkit Francesco Ceccon Jordan Jalving Joshua Haddad Alexander Thebelt Calvin Tsay C. Laird Ruth Misener 17 67 0 04 Feb 2022