Nick Dexter
4 papers · 2023–2025 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (13) πΊοΈ Taxonomy Completionist (12)
π
Keyword Champion
(2)
Conferences
NIPS (2)
ICML (1)
JMLR (1)
Top co-authors
Keywords
partial differential equation
(2)
scientific computing
(2)
physics-informed neural network
(2)
curse of dimensionality
(1)
generalization bound
(1)
deep neural network
(1)
operator learning
(1)
holomorphic operator
(1)
parametric pde
(1)
banach space
(1)
neural network
(1)
christoffel function
(1)
high-dimensional approximation
(1)
compressive spectral collocation
(1)
active learning
(1)
sampling measure
(1)
sparse recovery
(1)
deep learning
(1)
Papers
Physics-Informed Deep Learning and Compressive Collocation for High-Dimensional Diffusion-Reaction Equations: Practical Existence Theory and Numerics
JMLR 2025
Optimal deep learning of holomorphic operators between Banach spaces
NIPS 2024
A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples
ICML 2024
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions
NIPS 2023