Horace Pan
I am a machine learning engineer at Gauntlet, working on improving our risk simulations. I received my Ph.D. in Computer Science under Risi Kondor at the University of Chicago. My research was focused on permutation equivariant neural networks, and Fourier analysis on finite groups. Outside of work, I've been spending my free time learning about zero knowledge cryptography and writing CUDA kernels. Feel free to reach out to me if you have any cool problems you think I may be interested in.
E-mail: {my first and last name} at gmail dot com
Research
Permutation Equivariant Layers for Higher Order Interactions
Horace Pan, Risi Kondor.
AISTATS 2022
Fourier Bases for Solving Permutation Puzzles [poster]
Horace Pan, Risi Kondor.
AISTATS 2021
Predicting molecular properties with covariant compositional networks
Truong Son Hy, Shubhendu Trivedi, Horace Pan, Brandon M. Anderson, Risi Kondor.
JCP special issue, 2018
Covariant Compositional Networks for Learning Graphs
Risi Kondor, Hy Truong Son, Horace Pan, Brandon Anderson, Shubhendu Trivedi.
arXiv, 2018
Notes
Zero Knowledge Machine Learning. [Blog]
Matrix Calculus. [PDF]
Kernel PCA/Ridge Regression. [PDF]
Things I wish I knew in college. [Quora]
Code
SnPy: A library for computing the irreducible representations of the Symmetric group. [github]