Johannes Müller
5 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
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Trend Setter
Venues
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Research topics
Machine Learning
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Core AI
(2)
Optimization & Theory · Deep Learning
(2)
Reinforcement Learning
(1)
Applications
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Mathematics
(1)
Methods
(1)
Models
(1)
Keywords
physics-informed neural network
(2)
automatic differentiation
(1)
natural gradient
(1)
partially observable markov decision process
(1)
constraint satisfaction
(1)
natural gradient descent
(1)
riemannian metric
(1)
second-order optimization
(1)
algorithm
(1)
infinite dimensional
(1)
polynomial optimization
(1)
discounted reward
(1)
optimization algorithm
(1)
gauss-newton method
(1)
trust region
(1)
approximate curvature
(1)
deep ritz method
(1)
kronecker factorization
(1)
kronecker-factored approximate curvature
(1)
hessian-induced riemannian metric
(1)
Papers
Embedding Safety into RL: A New Take on Trust Region Methods
ICML 2025
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks
NeurIPS 2024
Position: Optimization in SciML Should Employ the Function Space Geometry
ICML 2024
Achieving High Accuracy with PINNs via Energy Natural Gradient Descent
ICML 2023
The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs
ICLR 2022