Nick McGreivy

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 6

Top Topics

Numerical Scheme

Machine Learning

Top Venues

Publications

Nick McGreivy, Ammar Hakim
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations. CoRR (2024)
Nick McGreivy, Ammar Hakim
Invariant preservation in machine learned PDE solvers via error correction. CoRR (2023)
Tian Qin, Alex Beatson, Deniz Oktay, Nick McGreivy, Ryan P. Adams
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh. CoRR (2022)
Nick McGreivy, Ammar Hakim
Convolutional Layers Are Not Translation Equivariant. CoRR (2022)
Deniz Oktay, Nick McGreivy, Joshua Aduol, Alex Beatson, Ryan P. Adams
Randomized Automatic Differentiation. ICLR (2021)
Deniz Oktay, Nick McGreivy, Joshua Aduol, Alex Beatson, Ryan P. Adams
Randomized Automatic Differentiation. CoRR (2020)