I was invited to give a talk "Gaussian Bernoulli RBMs Without Tears" at the Math Machine Learning
Seminar Max Planck Institute for Mathematics in the Sciences (MPI MIS) and UCLA, Feb. 9 2023
I was invited to give a talk "Injecting Structures Into Deep Learning: A Case Study of Image
Generation" at the webinar (Journal of Electronic Imaging) on Deep
Learning: Applications and Recent Directions
I was invited to give a talk "On the Generalization of Graph Neural Networks and their
Applications in
Probabilistic Inference" at the 2021 Annual Meeting of Canadian
Applied and Industrial Math Society (CAIMS)
I successfully defended my PhD on Dec. 18 2020 (Dept.) and Mar. 19 2021 (SGS)
Thanks to my committee: Richard Zemel, Raquel Urtasun, Sanja Fidler, David Duvenaud, Murat
Erdogdu, and
Stefanie Jegelka
My thesis is online!