Samuel Lanthaler
5 papers · 2021–2023 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(3)
π
Cross-Pollinator
(5)
πΊοΈ
Taxonomy Completionist
(10)
Conferences
JMLR (2)
NIPS (2)
ICLR (1)
Top co-authors
Keywords
universal approximation
(2)
error bound
(2)
operator learning
(2)
ridge regression
(1)
sample complexity
(1)
curse of dimensionality
(1)
continuous operators
(1)
minimax optimal
(1)
partial differential equation
(1)
random feature
(1)
approximation theory
(1)
coupled oscillator
(1)
neural operator
(1)
fourier neural operator
(1)
neural network
(1)
neural oscillator
(1)
sequence modeling
(1)
harmonic oscillator
(1)
principal component analysis
(1)
graph representation learning
(1)
Papers
Neural Oscillators are Universal
NIPS 2023
Error Bounds for Learning with Vector-Valued Random Features
NIPS 2023
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
ICLR 2023
Operator learning with PCA-Net: upper and lower complexity bounds
JMLR 2023
On Universal Approximation and Error Bounds for Fourier Neural Operators
JMLR 2021