Author of the publication

An Extensible Benchmark Suite for Learning to Simulate Physical Systems

, , , , , , and . (2021)cite arxiv:2108.07799Comment: Accepted to NeurIPS 2021 track on datasets and benchmarks.

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Multifidelity Monte Carlo Estimation with Adaptive Low-Fidelity Models.. SIAM/ASA J. Uncertain. Quantification, 7 (2): 579-603 (2019)Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems., , , and . CoRR, (2020)Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations., and . CoRR, (2020)Context-Aware Surrogate Modeling for Balancing Approximation and Sampling Costs in Multifidelity Importance Sampling and Bayesian Inverse Problems., and . SIAM/ASA J. Uncertain. Quantification, 11 (1): 285-319 (March 2023)Neural Galerkin Scheme with Active Learning for High-Dimensional Evolution Equations., , and . CoRR, (2022)A transport-based multifidelity preconditioner for Markov chain Monte Carlo., and . Adv. Comput. Math., 45 (5): 2321-2348 (2019)Quasi-Optimal Sampling to Learn Basis Updates for Online Adaptive Model Reduction with Adaptive Empirical Interpolation., , , and . ACC, page 2472-2477. IEEE, (2020)Multifidelity probability estimation via fusion of estimators., , , , and . J. Comput. Phys., (2019)Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices., , , , and . SIAM/ASA J. Uncertain. Quantification, 6 (2): 683-706 (2018)Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms., , , , and . CoRR, (2020)