James Rowbottom

19 papers A* 5Journal 14
YearRankTypeTitle / Venue / Authors
2025 A* conf
G-Adaptivity: optimised graph-based mesh relocation for finite element methods.
ICML
James Rowbottom, Georg Maierhofer, Teo Deveney, Eike Hermann Müller, Alberto Paganini, Katharina Schratz, Pietro Lio, Carola-Bibiane Schönlieb, Chris J. Budd
2025 J jnl
Graph Neural Regularizers for PDE Inverse Problems.
CoRR
William Lauga, James Rowbottom, Alexander Denker, Zeljko Kereta, Moshe Eliasof, Carola-Bibiane Schönlieb
2025 J jnl
HypeR Adaptivity: Joint
CoRR
Niccolò Grillo, James Rowbottom, Pietro Liò, Carola-Bibiane Schönlieb, Stefania Fresca
2025 A* conf
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups.
ICLR
Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schönlieb
2025 J jnl
Multi-Level Monte Carlo Training of Neural Operators.
CoRR
James Rowbottom, Stefania Fresca, Pietro Lio, Carola-Bibiane Schönlieb, Nicolas Boullé
2024 J jnl
G-Adaptive mesh refinement - leveraging graph neural networks and differentiable finite element solvers.
CoRR
James Rowbottom, Georg Maierhofer, Teo Deveney, Katharina Schratz, Pietro Liò, Carola-Bibiane Schönlieb, Chris J. Budd
2024 J jnl
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups.
CoRR
Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schönlieb
2023 J jnl
Understanding convolution on graphs via energies.
Trans. Mach. Learn. Res.
Francesco Di Giovanni, James Rowbottom, Benjamin Paul Chamberlain, Thomas Markovich, Michael M. Bronstein
2022 J jnl
Equivariant Mesh Attention Networks.
CoRR
Sourya Basu, Jose Gallego-Posada, Francesco Viganò, James Rowbottom, Taco Cohen
2022 J jnl
Equivariant Mesh Attention Networks.
Trans. Mach. Learn. Res.
Sourya Basu, Jose Gallego-Posada, Francesco Viganò, James Rowbottom, Taco Cohen
2022 J jnl
Graph Neural Networks as Gradient Flows.
CoRR
Francesco Di Giovanni, James Rowbottom, Benjamin Paul Chamberlain, Thomas Markovich, Michael M. Bronstein
2022 A* conf
Graph-Coupled Oscillator Networks.
ICML
T. Konstantin Rusch, Ben Chamberlain, James Rowbottom, Siddhartha Mishra, Michael M. Bronstein
2022 J jnl
Graph-Coupled Oscillator Networks.
CoRR
T. Konstantin Rusch, Benjamin Paul Chamberlain, James Rowbottom, Siddhartha Mishra, Michael M. Bronstein
2021 A* conf
Beltrami Flow and Neural Diffusion on Graphs.
NeurIPS
Ben Chamberlain, James Rowbottom, Davide Eynard, Francesco Di Giovanni, Xiaowen Dong, Michael M. Bronstein
2021 J jnl
Beltrami Flow and Neural Diffusion on Graphs.
CoRR
Benjamin Paul Chamberlain, James Rowbottom, Davide Eynard, Francesco Di Giovanni, Xiaowen Dong, Michael M. Bronstein
2021 A* conf
GRAND: Graph Neural Diffusion.
ICML
Ben Chamberlain, James Rowbottom, Maria I. Gorinova, Michael M. Bronstein, Stefan Webb, Emanuele Rossi
2021 J jnl
GRAND: Graph Neural Diffusion.
CoRR
Benjamin Paul Chamberlain, James Rowbottom, Maria I. Gorinova, Stefan Webb, Emanuele Rossi, Michael M. Bronstein
2019 J jnl
Wearable sensors for monitoring the internal and external workload of the athlete.
npj Digit. Medicine
Dhruv R. Seshadri, Ryan T. Li, James E. Voos, James Rowbottom, Celeste M. Alfes, Christian A. Zorman, Colin K. Drummond
2019 J jnl
Wearable sensors for monitoring the physiological and biochemical profile of the athlete.
npj Digit. Medicine
Dhruv R. Seshadri, Ryan T. Li, James E. Voos, James Rowbottom, Celeste M. Alfes, Christian A. Zorman, Colin K. Drummond