Nick Dexter
4 papers · 2023–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Core Methods
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
physics-informed neural network
(2)
scientific computing
(2)
partial differential equation
(2)
generalization bound
(2)
curse of dimensionality
(1)
linear measurement
(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)
sampling measure
(1)
distribution of sampling operators
(1)
nonlinear model classes
(1)
active learning
(1)
variation of a model class
(1)
Papers
Physics-Informed Deep Learning and Compressive Collocation for High-Dimensional Diffusion-Reaction Equations: Practical Existence Theory and Numerics
JMLR 2025
A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples
ICML 2024
Optimal deep learning of holomorphic operators between Banach spaces
NeurIPS 2024
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions
NeurIPS 2023