Concepedia

Filipe de Avila Belbute-Peres

FD

Statistics

Publications

4

Citations

449

H-Index

4

Active since

2018

Affiliations

Carnegie Mellon University(Current)

Robert Bosch (India)

Filipe de Avila Belbute-Peres is an author at Carnegie Mellon University specializing in deep learning, physics, and computing.

Publications per year

2018–2021

4

Publications

4

End-to-End Differentiable Physics for Learning and Control

Filipe de Avila Belbute-Peres, Kevin A. Smith, Kelsey R. Allen et al. · Neural Information Processing Systems · 2018 · 269 citations

, , +11

Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction

Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter · International Conference on Machine Learning · 2020 · 158 citations

, , +13

Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction

Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter · arXiv (Cornell University) · 2020 · 11 citations · Full text

, , +13

HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks

Filipe de Avila Belbute-Peres, Yifan Chen, Fei Sha · arXiv (Cornell University) · 2021 · 11 citations · Full text

, , +16

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