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Rowbottom, James
8 publications
ICML
2025
G-Adaptivity: Optimised Graph-Based Mesh Relocation for Finite Element Methods
James Rowbottom
,
Georg Maierhofer
,
Teo Deveney
,
Eike Hermann Müller
,
Alberto Paganini
,
Katharina Schratz
,
Pietro Lio
,
Carola-Bibiane Schönlieb
,
Chris Budd
ICLR
2025
Lie Algebra Canonicalization: Equivariant Neural Operators Under Arbitrary Lie Groups
Zakhar Shumaylov
,
Peter Zaika
,
James Rowbottom
,
Ferdia Sherry
,
Melanie Weber
,
Carola-Bibiane Schönlieb
TMLR
2023
Understanding Convolution on Graphs via Energies
Francesco Di Giovanni
,
James Rowbottom
,
Benjamin Paul Chamberlain
,
Thomas Markovich
,
Michael M. Bronstein
TMLR
2022
Equivariant Mesh Attention Networks
Sourya Basu
,
Jose Gallego-Posada
,
Francesco Viganò
,
James Rowbottom
,
Taco Cohen
ICML
2022
Graph-Coupled Oscillator Networks
T. Konstantin Rusch
,
Ben Chamberlain
,
James Rowbottom
,
Siddhartha Mishra
,
Michael Bronstein
NeurIPS
2021
Beltrami Flow and Neural Diffusion on Graphs
Benjamin Chamberlain
,
James Rowbottom
,
Davide Eynard
,
Francesco Di Giovanni
,
Xiaowen Dong
,
Michael Bronstein
ICML
2021
GRAND: Graph Neural Diffusion
Ben Chamberlain
,
James Rowbottom
,
Maria I Gorinova
,
Michael Bronstein
,
Stefan Webb
,
Emanuele Rossi
NeurIPSW
2021
GRAND: Graph Neural Diffusion
Benjamin Paul Chamberlain
,
James Rowbottom
,
Maria I. Gorinova
,
Stefan D Webb
,
Emanuele Rossi
,
Michael M. Bronstein