基本信息
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Bio
I am currently a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr. Stanley J. Osher. I have obtained my Ph.D. in Machine Learning from Rice University, where I was advised by Dr. Richard G. Baraniuk. My research is focused on the intersection of Deep Learning, Probabilistic Modeling, Optimization, and ODEs/PDEs. I gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. I also had two awesome long internships with Amazon AI and NVIDIA Research, during which I worked with Dr. Anima Anandkumar. I am the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. I received my M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
I am also writing about simple ideas and principled approach that lead to working machine learning algorithms on my blog, Almost Convergent.
Research Interests
Papers共 27 篇Author StatisticsCo-AuthorSimilar Experts
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BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENTno. 7 (2023): 1-20
Pattern Recognition (2023): 109126-109126
crossref(2023)
Tan M. Nguyen,Tam Nguyen,Long Bui, Hai Do,Duy Khuong Nguyen,Dung D. Le,Hung Tran-The,Nhat Ho, Stan J. Osher,Richard G. Baraniuk
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1-5, (2023)
International Conference on Learning Representations (ICLR) (2022)
Cited41Views0EIBibtex
41
0
MSMLpp.189-204, (2022)
arXiv (Cornell University) (2022)
International Conference on Machine Learningpp.16595-16621, (2022)
Cited16Views0EIBibtex
16
0
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Author Statistics
#Papers: 87
#Citation: 1092
H-Index: 18
G-Index: 32
Sociability: 5
Diversity: 0
Activity: 3
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