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)

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)

GRAND: Graph Neural Diffusion. - Ben Chamberlain 001; James Rowbottom; Maria I. Gorinova 001; Michael M. Bronstein; Stefan Webb; Emanuele Rossi (ICML, 2021)

Beltrami Flow and Neural Diffusion on Graphs. - Ben Chamberlain 001; James Rowbottom; Davide Eynard; Francesco Di Giovanni; Xiaowen Dong 001; Michael M. Bronstein (NeurIPS, 2021)

Graph-Coupled Oscillator Networks. - T. Konstantin Rusch; Ben Chamberlain 001; James Rowbottom; Siddhartha Mishra; Michael M. Bronstein (ICML, 2022)

Graph Neural Networks as Gradient Flows. - Francesco Di Giovanni; James Rowbottom; Benjamin Paul Chamberlain; Thomas Markovich; Michael M. Bronstein (CoRR, 2022)

Equivariant Mesh Attention Networks. - Sourya Basu; Jose Gallego-Posada; Francesco Viganò; James Rowbottom; Taco Cohen (Trans. Mach. Learn. Res., 2022)

Understanding convolution on graphs via energies. - Francesco Di Giovanni; James Rowbottom; Benjamin Paul Chamberlain; Thomas Markovich; Michael M. Bronstein (Trans. Mach. Learn. Res., 2023)

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)

Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups. - Zakhar Shumaylov; Peter Zaika; James Rowbottom; Ferdia Sherry; Melanie Weber 001; Carola-Bibiane Schönlieb (ICLR, 2025)

Multi-Level Monte Carlo Training of Neural Operators. - James Rowbottom; Stefania Fresca; Pietro Lio; Carola-Bibiane Schönlieb; Nicolas Boullé (CoRR, 2025)