Scott MacLachlan

3 papers · 2021–2023 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

NeurIPS (2) ICML (1)

Top co-authors

Ali Taghibakhshi (3) Matthew West (3) Luke Olson (3) Tareq Uz Zaman (2) Nicolas Nytko (2)

Research topics

Machine Learning (3) Deep Learning (2) Mathematics & Optimization (2) Architectures (2) Mathematics (2) Optimization & Theory (2) Reinforcement Learning (1) Applications (1) Core Methods (1) Learning Types (1) Techniques (1)

Keywords

domain decomposition (2) graph neural network (2) partial differential equation (2) loss function (1) linear system solver (1) graph coarsening (1) multilevel method (1) unsupervised loss (1) unstructured grid (1) graph convolutional neural network (1) algebraic multigrid (1) domain decomposition method (1) optimized schwarz method (1) multigrid method (1) unsupervised loss function (1) linear solver (1) neural network architecture (1) schwarz method (1) unsupervised learning (1) reinforcement learning (1)

Papers

MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods ICML 2023 Learning Interface Conditions in Domain Decomposition Solvers NeurIPS 2022 Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning NeurIPS 2021