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title
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updated
2026-02-15 21:30:48
raw text
Ricky T. Q. Chen Ricky Tian Qi Chen I'm a Research Scientist at Meta Fundamental AI Research (FAIR) team in New York. My research is on building simplified abstractions of the world through the lens of dynamical systems and flows. Lately, I've been exploring the use of stochastic control theory for large-scale generative modeling [ Adjoint Matching ], as well as constructing discrete generative models through continuous-time Markov chains [ Discrete Flow Matching ]. Our methods such as [ Flow Matching ] have been applied successfully for foundation models of video and audio [ Movie Gen ]. CV | Github | Twitter | Google Scholar | rtqichen@meta.com Research | Talk slides Research (See Google Scholar for exhaustive list.) Flow Matching Guide and Code Yaron Lipman, Marton Havasi, Peter Holderrieth, Neta Shaul, Matt Le, Brian Karrer, Ricky T....
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