Alex Townsend
8 papers · 2020–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(20)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Mathematics & Optimization
(4)
Mathematics
(4)
Deep Learning
(3)
Core Methods
(3)
Optimization
(3)
Architectures
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Types
(2)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Keywords
green's function
(2)
operator learning
(2)
partial differential equation
(2)
convergence analysis
(1)
generalization error
(1)
singular value decomposition
(1)
gaussian process
(1)
gaussian copula
(1)
numerical linear algebra
(1)
missing value imputation
(1)
neural operator
(1)
matrix approximation
(1)
approximation theory
(1)
activation function
(1)
theoretical analysis
(1)
scientific machine learning
(1)
fourier basis
(1)
categorical variable
(1)
sobolev norm
(1)
function approximation
(1)
Papers
Extending Mercer's expansion to indefinite and asymmetric kernels
ICLR 2025
Operator Learning for Hyperbolic PDEs
JMLR 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
NeurIPS 2022
Rational neural networks
NeurIPS 2020