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个人简介
I spent fall 2017 working with Ferenc Huszár on improving black-box optimization methods for general non-differentiable functions. During summer 2018, while an intern at Microsoft Research Cambridge, I collaborated on a novel class of deep generative models for understanding and programming information processing in biological systems. During summer 2019, while an intern at Google Brain, I collaborated with Durk Kingma on identifiable representation learning by deep discriminative models. In fall of 2019, I joined X, the Moonshot Factory (formerly Google X) as a Resident in core ML. Since February 2020, I have been a 20%-time Resident with the Quantum/AI group at X, working on Bayesian inference for noisy intermediate-scale quantum algorithms.
研究兴趣
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8TH ACM SYMPOSIUM ON COMPUTATIONAL FABRICATION, SCF 2023 (2023): 8:1-8:14
Faris M. Sbahi,Antonio J. Martinez, Sahil Patel,Dmitri Saberi, Jae Hyeon Yoo,Geoffrey Roeder,Guillaume Verdon
arxiv(2022)
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CoRR (2019): 4445-4455
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International Conference on Learning Representations (2018)
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