Search Results for author: Detlef Hohl

Found 2 papers, 1 papers with code

FResNet++: Augmenting deep residual surrogates with Fourier operators for accelerated PDE based flow and transport simulations

no code implementations • ICLR 2022 • Janaki Vamaraju, Faruk O. Alpak, Jim W Jennings, Pandu Devarakota, Detlef Hohl

Accurate numerical modeling of multi-phase flow and transport mechanisms is essential to study varied, complex physical phenomena.

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Deep Neural Network Learning with Second-Order Optimizers -- a Practical Study with a Stochastic Quasi-Gauss-Newton Method

1 code implementation • 6 Apr 2020 • Christopher Thiele, Mauricio Araya-Polo, Detlef Hohl

Training in supervised deep learning is computationally demanding, and the convergence behavior is usually not fully understood.

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