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Jaehoon Lee
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Recent research interests include:
Interplay between physics and machine learning
Theoretical aspects of deep neural networks
Scientific and principled study of deep neural networks and their learning algorithms
Theoretical physics with focus on high energy physics
Interplay between physics and machine learning
Theoretical aspects of deep neural networks
Scientific and principled study of deep neural networks and their learning algorithms
Theoretical physics with focus on high energy physics
Papers20 papers
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ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 8570-8581
ICLR, (2018)
Christopher J. Shallue,Jaehoon Lee, Joseph M. Antognini,Jascha Sohl-Dickstein,Roy Frostig,George E. Dahl
Journal of Machine Learning Research, no. 112 (2018)
Roman Novak,Lechao Xiao, Yasaman Bahri,Jaehoon Lee, Greg Yang, Daniel A Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein
(2018)
Journal of High Energy Physics, no. 8 (2017): 118
Journal of High Energy Physics, no. 8 (2017): 118
Journal of High Energy Physics, no. 6 (2016): 85
Journal of Statistical Mechanics: Theory and Experiment, no. 7 (2016): 074004
Journal of High Energy Physics, no. 3 (2015): 130
Physical review. E, Statistical, nonlinear, and soft matter physics, no. 3 (2015): 032148-032148
Journal of High Energy Physics, no. 9 (2014): 143
(2014)
Cited by2Bibtex
Physical review letters, no. 22 (2013): 226402-226402
Journal of High Energy Physics, no. 1 (2012): 44
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