I am a Postdoctoral Fellow at the Vector Institute in Toronto, working with Alireza Makhzani and Roger Grosse. I graduated with my PhD from University of Southern California in 2022, working with Greg Ver Steeg and Aram Galstyan. I also interned with the AI Safety Analysis team at DeepMind (Blog), working with Pedro Ortega and Tim Genewein.
I'm currently on the job market! (Email) (Google Scholar)
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I recently wrote a blog post reviewing control-as-inference perspectives across recent langauge and diffusion modeling settings.
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We won a Best Paper Award at ICML 2024 for our work "Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo"!Paper Talk (from 1:00:30)
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Wasserstein Lagrangian Flows
Action Matching
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Variational Representations of Annealing Paths (Information Geometry journal 2024):(Paper), (Tweet Thread), (Information Geometry for Data Science talk), (Slides)
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Extended State Space Importance Sampling (applied to mutual information estimation) ICLR 2022:(Paper), (5 min Talk), (Tweet Thread)
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PhD Thesis