I am an incoming PhD student in Computer Science at Stanford! My graduate studies will be funded by an NSF Graduate Research Fellowship. Previously, I completed my undergraduate studies at Cornell, where I was advised by Professor Chris De Sa.
I'm primarily interested in applications of topological and geometric methods in deep learning,
and in my free time I enjoy competitive math and coding. You can read my blog
here, where I talk about a variety of topics of interest.
[Email: al968@cornell.edu] [Google Scholar] [LinkedIn] [Github] [CV]
News
- Jun 2021: Equivariant Manifold Flows accepted to ICML INNF+ workshop
- May 2021: I graduated from Cornell!
- Apr 2021: Excited to attend Stanford next semester for my PhD! I will be supported by an NSF Graduate Student Fellowship.
- Dec 2020: Honorable mention in CRA 2021
- Sep 2020: Paper accepted at NeurIPS 2020 and paper accepted to NeurIPS DiffGeo4DL workshop
- Aug 2020: Completed research internship at Facebook
- Jul 2020: Paper accepted at ICML 2020 and a spotlight at INNF workshop
Publications
Equivariant Manifold Flows
ICML INNF+ Workshop 2021
[Arxiv]
Isay Katsman*, Aaron Lou*, Derek Lim*, Qingxuan Jiang*, Ser-Nam Lim, Christopher De Sa
Deep Riemannian Manifold Learning
NeurIPS Geo4dl Workshop 2020
[Paper]
Aaron Lou, Maximilian Nickel, Brandon Amos
Adversarial Example Decomposition
ICML SPML Workshop 2019
[Arxiv]
Horace He, Aaron Lou*, Qingxuan Jiang*, Isay Katsman*, Serge Belongie, Ser-Nam Lim
(* indicates equal contribution)
Industry Experience
Facebook AI
Research Intern
May 2020 - Aug 2020
Software Engineering Intern
May 2019 - Aug 2019
Activities
Cornell University Artificial Intelligence
Co-President
Sept 2020 - May 2021
Undergraduate Researcher
Aug 2018 - May 2021
Cornell ICPC
Competitive Programmer
Aug 2018 - May 2021