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20232026
most citedCoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations

3 citations · 6 across the 15 of their papers we have counts for

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math.NA2023★ 1 cited

Nonlinear embeddings for conserving Hamiltonians and other quantities with Neural Galerkin schemes

Paul Schwerdtner, Philipp Schulze, Jules Berman +1

This work focuses on the conservation of quantities such as Hamiltonians, mass, and momentum when solution fields of partial differential equations are approximated with nonlinear…

cs.LG2023★ 1 cited

Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks

Jules Berman, Benjamin Peherstorfer

Training neural networks sequentially in time to approximate solution fields of time-dependent partial differential equations can be beneficial for preserving causality and other p…