A Linear Algebraic Approach to Model Parallelism in Deep Learning. - Russell J. Hewett; Thomas J. Grady II (CoRR, 2020)

Towards Large-Scale Learned Solvers for Parametric PDEs with Model-Parallel Fourier Neural Operators. - Thomas J. Grady II; Rishi Khan; Mathias Louboutin; Ziyi Yin 002; Philipp A. Witte; Ranveer Chandra; Russell J. Hewett; Felix J. Herrmann (CoRR, 2022)

Learned multiphysics inversion with differentiable programming and machine learning. - Mathias Louboutin; Ziyi Yin 002; Rafael Orozco; Thomas J. Grady II; Ali Siahkoohi; Gabrio Rizzuti; Philipp A. Witte; Olav Møyner; Gerard J. Gorman; Felix J. Herrmann (CoRR, 2023)

Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs. - Thomas J. Grady II; Rishi Khan; Mathias Louboutin; Ziyi Yin 002; Philipp A. Witte; Ranveer Chandra; Russell J. Hewett; Felix J. Herrmann (Comput. Geosci., 2023)