Alex Townsend
8 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Academic Marathon (5) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13)
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Keyword Pioneer
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Cross-Pollinator
(10)
Conferences
ICLR (3)
JMLR (3)
NIPS (2)
Top co-authors
Keywords
partial differential equation
(2)
green's function
(2)
operator learning
(2)
gaussian copula
(1)
numerical linear algebra
(1)
missing value imputation
(1)
approximation theory
(1)
activation function
(1)
neural operator
(1)
scientific machine learning
(1)
fourier basis
(1)
categorical variable
(1)
multiple imputation
(1)
categorical datum
(1)
mixed datum
(1)
ordinal datum
(1)
smooth function
(1)
numerical analysis
(1)
neural network
(1)
network complexity
(1)
Papers
Operator Learning for Hyperbolic PDEs
JMLR 2025
Extending Mercer's expansion to indefinite and asymmetric kernels
ICLR 2025
Operator learning without the adjoint
JMLR 2024
Tuning Frequency Bias in Neural Network Training with Nonuniform Data
ICLR 2023
A generalization of the randomized singular value decomposition
ICLR 2022
Learning Green's functions associated with time-dependent partial differential equations
JMLR 2022
Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data
NIPS 2022
Rational neural networks
NIPS 2020