James Rowbottom

5 papers · 2021–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

ICML (3) ICLR (1) NeurIPS (1)

Top co-authors

Michael Bronstein (3) Carola-Bibiane Schönlieb (2) Ben Chamberlain (2) Georg Maierhofer (1) Stefan Webb (1) Alberto Paganini (1) Eike Hermann Müller (1) Teo Deveney (1) Davide Eynard (1) Siddhartha Mishra (1)

Research topics

Deep Learning (5) Architectures (5) Machine Learning (3) Optimization & Theory (2) Techniques (2) Mathematics & Optimization (1) Application Areas (1) Core Methods (1) Learning Types (1) Mathematics (1) Models (1) Optimization (1)

Keywords

graph neural network (4) neural diffusion (2) graph learning (2) physics-informed neural network (1) partial differential equation (1) lie group (1) positional encoding (1) ordinary differential equation (1) equivariant neural network (1) neural operator (1) gradient propagation (1) graph benchmark (1) finite element method (1) lie algebra (1) oscillator network (1) beltrami flow (1) non-euclidean diffusion (1) classical meshing methodologies (1) mesh relocation (1) online r-adaptivity (1)

Papers

G-Adaptivity: optimised graph-based mesh relocation for finite element methods ICML 2025 Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups ICLR 2025 Graph-Coupled Oscillator Networks ICML 2022 Beltrami Flow and Neural Diffusion on Graphs NeurIPS 2021 GRAND: Graph Neural Diffusion ICML 2021