James Rowbottom

According to our database, James Rowbottom authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multi-Level Monte Carlo Training of Neural Operators.

James Rowbottom, Stefania Fresca, Pietro Lio, Carola-Bibiane Schönlieb, Nicolas Boullé

CoRR, May, 2025

Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups.

Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schönlieb

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

G-Adaptive mesh refinement - leveraging graph neural networks and differentiable finite element solvers.

James Rowbottom, Georg Maierhofer, Teo Deveney, Katharina Schratz, Pietro Liò, Carola-Bibiane Schönlieb, Chris J. Budd

CoRR, 2024

2023

Understanding convolution on graphs via energies.

Francesco Di Giovanni, James Rowbottom, Benjamin Paul Chamberlain, Thomas Markovich, Michael M. Bronstein

Trans. Mach. Learn. Res., 2023

2022

Equivariant Mesh Attention Networks.

Sourya Basu, Jose Gallego-Posada, Francesco Viganò, James Rowbottom, Taco Cohen

Trans. Mach. Learn. Res., 2022

Graph Neural Networks as Gradient Flows.

Francesco Di Giovanni, James Rowbottom, Benjamin Paul Chamberlain, Thomas Markovich, Michael M. Bronstein

CoRR, 2022

Graph-Coupled Oscillator Networks.

T. Konstantin Rusch, Ben Chamberlain, James Rowbottom, Siddhartha Mishra, Michael M. Bronstein

Proceedings of the International Conference on Machine Learning, 2022

2021

Beltrami Flow and Neural Diffusion on Graphs.

Ben Chamberlain, James Rowbottom, Davide Eynard, Francesco Di Giovanni, Xiaowen Dong, Michael M. Bronstein

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GRAND: Graph Neural Diffusion.

Ben Chamberlain, James Rowbottom, Maria I. Gorinova, Michael M. Bronstein, Stefan Webb, Emanuele Rossi

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Wearable sensors for monitoring the physiological and biochemical profile of the athlete.

Dhruv R. Seshadri, Ryan T. Li, James E. Voos, James Rowbottom, Celeste M. Alfes, Christian A. Zorman, Colin K. Drummond

npj Digit. Medicine, 2019

Wearable sensors for monitoring the internal and external workload of the athlete.

Dhruv R. Seshadri, Ryan T. Li, James E. Voos, James Rowbottom, Celeste M. Alfes, Christian A. Zorman, Colin K. Drummond

npj Digit. Medicine, 2019