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Yang Song(宋飏)
Ph.D
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I work on deep generative models and AI safety. My goal is to develop new generative models that allow flexible architectures, stable training procedures, high sample quality and controllable generation. I am interested in various applications of generative models, especially using them to identify and mitigate security vulnerabilities of machine learning systems. I am an amateur violinist and pianist.
Papers29 papers
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ICLR 2021, (2021)
NIPS 2020, (2020)
international conference on learning representations, (2020)
international conference on learning representations, (2020)
NIPS 2020, (2020)
international conference on learning representations, (2020)
NIPS 2020, (2020)
NIPS 2020, (2020)
AISTATS, pp.4474-4484, (2020)
ICML, pp.10957-10967, (2020)
UAI, (2019): 204
(2019)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 11895-11907
Cited by53EIBibtex
Renjie Liao,Yujia Li,Yang Song,Shenlong Wang, Will Hamilton,David Duvenaud,Raquel Urtasun,Richard Zemel
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 4257-4267
Cited by12EIBibtex
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