Benjamin Peherstorfer
4 papers · 2023–2024 · 2 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓
π§
Keyword Pioneer
π
Conference Polyglot
(2)
π
Cross-Pollinator
(14)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(12)
Conferences
ICML (2)
NIPS (2)
Top co-authors
Keywords
metric learning
(1)
variational inference
(1)
sparse learning
(1)
optimal transport
(1)
covariance estimation
(1)
stochastic process
(1)
partial differential equation
(1)
model reduction
(1)
mean-field system
(1)
stochastic system
(1)
action matching
(1)
variational method
(1)
gradient field
(1)
neural network
(1)
log-euclidean geometry
(1)
symmetric positive-definite manifold
(1)
multi-fidelity estimator
(1)
Papers
Parametric model reduction of mean-field and stochastic systems via higher-order action matching
NIPS 2024
CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations
ICML 2024
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks
NIPS 2023
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
ICML 2023