Khachik Sargsyan
Khachik Sargsyan
Home
Projects
Research
Software
Publications
Talks
CV
Contact
Light
Dark
Automatic
Active Machine Learning with Uncertainties and Gradients
Khachik Sargsyan
PDF
Abstract
Date
Oct 28, 2019
Event
Exascale Catalytic Chemistry All-Hands Meeting
Location
Sandia National Laboratories, Livermore, CA
active-learning
surrogate-modeling
computational-chemistry
Related
Fast Evaluation of Many-Body Perturbation Integrals
Fighting the Curse of Dimensionality in Uncertainty Quantification
Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities
Spectral Representation and Reduced Order Modeling of the Dynamics of Stochastic Reaction Networks via Adaptive Data Partitioning
Real-Time Characterization of Partially Observed Epidemics using Surrogate Models
Cite
×