Alex Beatson
7 papers · 2016–2021 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (3) π Academic Marathon (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11)
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Keyword Pioneer
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Hot Topic Early Bird
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Triple Crown
Conferences
ICLR (3)
ICML (2)
NIPS (2)
Top co-authors
Keywords
potential energy
(2)
finite element analysis
(2)
neural network
(2)
amortized inference
(1)
minimax risk
(1)
convergence rate
(1)
recurrent neural network
(1)
partial differential equation
(1)
gradient estimator
(1)
surrogate modeling
(1)
robust estimator
(1)
unbiased gradient
(1)
pde-constrained optimization
(1)
reduced order model
(1)
composable neural network
(1)
meta-material simulation
(1)
randomized telescope
(1)
reduced order modeling
(1)
data injection attack
(1)
parametric meta-material
(1)
Papers
Randomized Automatic Differentiation
ICLR 2021
Learning Composable Energy Surrogates for PDE Order Reduction
NIPS 2020
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models
ICLR 2020
Amortized Finite Element Analysis for Fast PDE-Constrained Optimization
ICML 2020
Amortized Bayesian Meta-Learning
ICLR 2019
Efficient optimization of loops and limits with randomized telescoping sums
ICML 2019
Blind Attacks on Machine Learners
NIPS 2016