I’m a CS PhD student researching AI Safety in the Machine Learning Group at the University of Toronto,
advised by Prof. Roger Grosse and Prof. Jimmy Ba. I have mostly worked on
fundamental research in generative AI in the past and now I'm focusing on AI Safety through the lens of AI
psychology, where the goal is to
discover and verify abstract psychological constructs that can help us
predict and control AI's behaviour. My long-term goal is to steer advanced intelligent systems to
capacity for kindness and bring
If you are new to AI and wondering how to get started, I'd recommend checking out UTMIST and Cohere For AI. I was one of the cofounders in 2017 and since then great friends have joined to scale them massively to provide great zero to one opportunities for anyone interested in AI.
We estimate mutual information (MI) with our proposed annealed and energy based bounds and showcase significant gains on estimating the MI of deep generative models over existing bounds.Published in ICLR2022
we evaluate lossy compression rates of deep generative models and arrive at a number of insights not obtainable from log-likelihoods alone.Published in ICML2020
We introduce TimbreTron, a method for high quality musical timbre transfer, where the goal is to manipulate the timbre of a sound sample from one instrument to match another instrument while preserving other musical content.Published in ICLR2019
Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li,
Muhammad Osama, Lukasz Kaiser
This work details CipherGAN, an architecture for inferring the underlying cipher mapping given banks of unpaired ciphertext and plaintext.
Manager: Yanshuai Cao.
TA'ed calculus(MAT135) in the summer TA'ed linear algebra(MAT223) in the fall.
Supervisor: Professor Roger Grosse
Supervisor: Professor Li Qian