ML Anthology
Authors
Search
About
Potapczynski, Andres
12 publications
ICML
2025
Customizing the Inductive Biases of SoftMax Attention Using Structured Matrices
Yilun Kuang
,
Noah Amsel
,
Sanae Lotfi
,
Shikai Qiu
,
Andres Potapczynski
,
Andrew Gordon Wilson
ICLRW
2025
Flexible Models of Functional Annotations to Variant Effects Using Accelerated Linear Algebra
Alan Nawzad Amin
,
Andres Potapczynski
,
Andrew Gordon Wilson
ICML
2025
Training Flexible Models of Genetic Variant Effects from Functional Annotations Using Accelerated Linear Algebra
Alan Nawzad Amin
,
Andres Potapczynski
,
Andrew Gordon Wilson
ICML
2024
Compute Better Spent: Replacing Dense Layers with Structured Matrices
Shikai Qiu
,
Andres Potapczynski
,
Marc Anton Finzi
,
Micah Goldblum
,
Andrew Gordon Wilson
NeurIPSW
2024
Effectively Leveraging Exogenous Information Across Neural Forecasters
Andres Potapczynski
,
Kin G. Olivares
,
Malcolm Wolff
,
Andrew Gordon Wilson
,
Dmitry Efimov
,
Vincent Quenneville-Belair
NeurIPS
2024
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
Andres Potapczynski
,
Shikai Qiu
,
Marc Finzi
,
Christopher Ferri
,
Zixi Chen
,
Micah Goldblum
,
C. Bayan Bruss
,
Christopher De Sa
,
Andrew Gordon Wilson
ICLR
2023
A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks
Marc Anton Finzi
,
Andres Potapczynski
,
Matthew Choptuik
,
Andrew Gordon Wilson
NeurIPS
2023
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra
Andres Potapczynski
,
Marc Finzi
,
Geoff Pleiss
,
Andrew G Wilson
ICML
2023
Simple and Fast Group Robustness by Automatic Feature Reweighting
Shikai Qiu
,
Andres Potapczynski
,
Pavel Izmailov
,
Andrew Gordon Wilson
NeurIPS
2022
PAC-Bayes Compression Bounds so Tight That They Can Explain Generalization
Sanae Lotfi
,
Marc Finzi
,
Sanyam Kapoor
,
Andres Potapczynski
,
Micah Goldblum
,
Andrew G Wilson
ICML
2021
Bias-Free Scalable Gaussian Processes via Randomized Truncations
Andres Potapczynski
,
Luhuan Wu
,
Dan Biderman
,
Geoff Pleiss
,
John P Cunningham
NeurIPS
2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-SoftMax
Andres Potapczynski
,
Gabriel Loaiza-Ganem
,
John P. Cunningham