James Rowbottom

According to our database1, James Rowbottom authored at least 10 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups.
CoRR, 2024

G-Adaptive mesh refinement - leveraging graph neural networks and differentiable finite element solvers.
CoRR, 2024

2023
Understanding convolution on graphs via energies.
Trans. Mach. Learn. Res., 2023

2022
Equivariant Mesh Attention Networks.
Trans. Mach. Learn. Res., 2022

Graph Neural Networks as Gradient Flows.
CoRR, 2022

Graph-Coupled Oscillator Networks.
Proceedings of the International Conference on Machine Learning, 2022

2021
Beltrami Flow and Neural Diffusion on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GRAND: Graph Neural Diffusion.
Proceedings of the 38th International Conference on Machine Learning, 2021

2019
Wearable sensors for monitoring the physiological and biochemical profile of the athlete.
npj Digit. Medicine, 2019

Wearable sensors for monitoring the internal and external workload of the athlete.
npj Digit. Medicine, 2019


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