Benjamin Peherstorfer
4 papers · 2023–2024 · 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
Keywords
partial differential equation
(2)
variational inference
(1)
sparse learning
(1)
optimal transport
(1)
covariance estimation
(1)
stochastic process
(1)
model reduction
(1)
mean-field system
(1)
stochastic system
(1)
action matching
(1)
symmetric positive definite manifold
(1)
variational method
(1)
gradient field
(1)
neural network
(1)
log-euclidean geometry
(1)
multi-fidelity estimator
(1)
parameterized
(1)
continuous low-rank adaptation
(1)
galerkin-optimal approximations
(1)
implicit neural modeling
(1)
Papers
CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations
ICML 2024
Parametric model reduction of mean-field and stochastic systems via higher-order action matching
NeurIPS 2024
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
ICML 2023
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks
NeurIPS 2023