Talk, IPAM: Workshop on PDEs and Inverse Problems in Machine Learning, LA, California
Pre-pandemic, I was invited to be a visiting fellow at IPAM’s spring 2020 long program on high-dimensional Hamilton-Jacobi PDEs. Although my stay was cut short, I did give a virtual talk as part of the program’s workshop on PDEs and Inverse Problems in Machine Learning. This talk was based on our paper on training neural ODEs with kinetic regularization
Talk, MtlOPT working group, Montreal, Quebec
Montreal has a strong group of optimization researchers working in machine learning. They meet every second Friday under the umbrella organization MtlOPT, where researchers present current research they are working on. This was a talk I gave on a paper we had recently submitted on training neural ODEs with kinetic regularization
Poster, International Conference on Computer Vision (ICCV), Seoul, Korea
This was a poster presentation at the 2019 International Conference on Computer Vision (ICCV), in Seoul, Korea. This presentation was based on our paper on the LogBarrier adversarial attack.
Talk, McGill University, Montreal, Quebec
My PhD defence presentation, on solving some applied problems using nonlinear elliptic PDEs.
Poster, DLRL Summer School, University of Alberta, Edmonton, Alberta
This was a poster presentation at the Deep Learning and Reinforcement Learning summer school, organized by CIFAR and AMII, and hosted at the University of Alberta. This presentation was based off of joint work with Adam Oberman on training adversarially robust networks using gradient regularization.
Talk, Level Set Collective, UCLA, LA, California
This was an invited talk I gave at the at the Level Set Collective, in the UCLA Math department. This presentation was based off of joint work with Adam Oberman and Bilal Abbasi, where we trained adversarially robust neural networks with both Lipshitz and TV gradient regularization.