Matthew West
5 papers · 2021–2024 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(14)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(4)
Deep Learning
(3)
Architectures
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Applications · Reinforcement Learning
(2)
Core AI
(2)
Mathematics
(2)
Robotics
(1)
Applications · Robotics
(1)
Core Methods
(1)
Learning Types
(1)
Methods
(1)
Keywords
domain decomposition
(2)
partial differential equation
(2)
graph neural network
(2)
reinforcement learning
(2)
physics-informed neural network
(1)
loss function
(1)
robotic control
(1)
deterministic policy
(1)
linear system solver
(1)
graph coarsening
(1)
deterministic sampling
(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)
Papers
Learning from Integral Losses in Physics Informed Neural Networks
ICML 2024
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
ICML 2023
Learning Interface Conditions in Domain Decomposition Solvers
NeurIPS 2022
Truly Deterministic Policy Optimization
NeurIPS 2022
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
NeurIPS 2021