Andres Potapczynski

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Gaussian Process

Multitask Learning

Top Venues

Publications

Shikai Qiu, Andres Potapczynski, Marc Finzi, Micah Goldblum, Andrew Gordon Wilson
Compute Better Spent: Replacing Dense Layers with Structured Matrices. CoRR (2024)
Andres Potapczynski, Marc Finzi, Geoff Pleiss, Andrew Gordon Wilson
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra. NeurIPS (2023)
Andres Potapczynski, Marc Finzi, Geoff Pleiss, Andrew Gordon Wilson
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra. CoRR (2023)
Shikai Qiu, Andres Potapczynski, Pavel Izmailov, Andrew Gordon Wilson
Simple and Fast Group Robustness by Automatic Feature Reweighting. ICML (2023)
Marc Finzi, Andres Potapczynski, Matthew Choptuik, Andrew Gordon Wilson
A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks. CoRR (2023)
Marc Anton Finzi, Andres Potapczynski, Matthew Choptuik, Andrew Gordon Wilson
A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks. ICLR (2023)
Shikai Qiu, Andres Potapczynski, Pavel Izmailov, Andrew Gordon Wilson
Simple and Fast Group Robustness by Automatic Feature Reweighting. CoRR (2023)
Wesley J. Maddox, Andres Potapczynski, Andrew Gordon Wilson
Low-precision arithmetic for fast Gaussian processes. UAI (2022)
Wesley J. Maddox, Andres Potapczynski, Andrew Gordon Wilson
Low-Precision Arithmetic for Fast Gaussian Processes. CoRR (2022)
Elliott Gordon-Rodríguez, Gabriel Loaiza-Ganem, Andres Potapczynski, John P. Cunningham
On the Normalizing Constant of the Continuous Categorical Distribution. CoRR (2022)
Sanae Lotfi, Marc Finzi, Sanyam Kapoor, Andres Potapczynski, Micah Goldblum, Andrew Gordon Wilson
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization. NeurIPS (2022)
Sanae Lotfi, Marc Finzi, Sanyam Kapoor, Andres Potapczynski, Micah Goldblum, Andrew Gordon Wilson
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization. CoRR (2022)
Andres Potapczynski, Luhuan Wu, Dan Biderman, Geoff Pleiss, John P. Cunningham
Bias-Free Scalable Gaussian Processes via Randomized Truncations. CoRR (2021)
Andres Potapczynski, Luhuan Wu, Dan Biderman, Geoff Pleiss, John P. Cunningham
Bias-Free Scalable Gaussian Processes via Randomized Truncations. ICML (2021)
Andres Potapczynski, Gabriel Loaiza-Ganem, John P. Cunningham
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax. NeurIPS (2020)
Andres Potapczynski, Gabriel Loaiza-Ganem, John P. Cunningham
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax. CoRR (2019)