Machine learning accelerated computational fluid dynamics

no code implementations • 28 Jan 2021 • Dmitrii Kochkov, Jamie A. Smith, Ayya Alieva, Qing Wang, Michael P. Brenner, Stephan Hoyer

Numerical simulation of fluids plays an essential role in modeling many physical phenomena, such as weather, climate, aerodynamics and plasma physics.

BIG-bench Machine Learning

Learning to Make Decisions via Submodular Regularization

no code implementations • ICLR 2021 • Ayya Alieva, Aiden Aceves, Jialin Song, Stephen Mayo, Yisong Yue, Yuxin Chen

In particular, we focus on a class of combinatorial problems that can be solved via submodular maximization (either directly on the objective function or via submodular surrogates).

Active Learning Bayesian Optimization +2