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2007.12792
Cited By

Deep Generative Models that Solve PDEs: Distributed Computing for
Training Large Data-Free Models

Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models

Workshop on Machine Learning in High Performance Computing Environments (MLHPC), 2020

24 July 2020

Santi S. Adavani

Baskar Ganapathysubramanian

ArXiv (abs)PDF HTML

Papers citing "Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models"

5 / 5 papers shown

Deep Operator Learning Lessens the Curse of Dimensionality for PDEs

Deep Operator Learning Lessens the Curse of Dimensionality for PDEs

403

20

0

28 Jan 2023

SciAI4Industry -- Solving PDEs for industry-scale problems with deep
learning

SciAI4Industry -- Solving PDEs for industry-scale problems with deep learning

Philipp A. Witte

Russell J. Hewett

Ranveer Chandra

310

3

0

23 Nov 2022

Neural PDE Solvers for Irregular Domains

Neural PDE Solvers for Irregular Domains

Aditya Balu

Chih-Hsuan Yang

...

Anushrut Jignasu

A. Krishnamurthy

Baskar Ganapathysubramanian

160

11

0

07 Nov 2022

NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for
Parametric PDEs

NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs

Aditya Balu

A. Krishnamurthy

Baskar Ganapathysubramanian

293

25

0

04 Oct 2021

Distributed Multigrid Neural Solvers on Megavoxel Domains

Distributed Multigrid Neural Solvers on Megavoxel DomainsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2021

Aditya Balu

Santi S. Adavani

A. Krishnamurthy

Baskar Ganapathysubramanian

338

11

0

29 Apr 2021

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