Andres Potapczynski
10 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (28) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (3)
π
Academic Marathon
(5)
π
Cross-Pollinator
(13)
π
Triple Crown
π
Century Club
(10)
π₯
Unstoppable
(6)
Conferences
ICML (5)
NIPS (4)
ICLR (1)
Top co-authors
Keywords
neural network
(2)
gaussian process
(2)
neural network compression
(1)
domain generalization
(1)
variational inference
(1)
transfer learning
(1)
hyperparameter learning
(1)
neural network optimization
(1)
efficient computing
(1)
out-of-distribution generalization
(1)
automatic differentiation
(1)
conjugate gradient
(1)
numerical linear algebra
(1)
discrete distribution
(1)
matrix computation
(1)
generalization bound
(1)
pac-bayes bound
(1)
partial differential equation
(1)
normalizing flow
(1)
language model
(1)
Papers
Customizing the Inductive Biases of Softmax Attention using Structured Matrices
ICML 2025
Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra
ICML 2025
Compute Better Spent: Replacing Dense Layers with Structured Matrices
ICML 2024
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
NIPS 2024
A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks
ICLR 2023
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra
NIPS 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting
ICML 2023
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization
NIPS 2022
Bias-Free Scalable Gaussian Processes via Randomized Truncations
ICML 2021
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
NIPS 2020