서울대학교가 머신러닝 분야 최고의 학회인 ICML 2019에서 7편의 논문을 발표하였다. 

ICML 2019

• Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty (Youngjin Kim, Wontae Nam, Hyunwoo Kim, Ji-Hoon Kim, Gunhee Kim) #김건희 교수
• Variational Laplace Autoencoders (Yookoon Park, Chris Donjoo Kim, Gunhee Kim) #김건희 교수
• FloWaveNet: A Generative Flow for Raw Audio (Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon) #윤성로 교수
• HexaGAN: Generative Adversarial Nets for Real World Classification (Uiwon Hwang, Dahuin Jung, Sungroh Yoon) #윤성로 교수
• Learning Discrete and Continuous Factors of Data via Alternating Disentanglement (Yeonwoo Jeong, Hyun Oh Song) #송오현 교수
• Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization (Seungyong Moon*, Gaon An*, Hyun Oh Song) #송오현 교수
• EMI: Exploration with Mutual Information (Hyoungseok Kim*, Jaekyeom Kim*, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song) #송오현 교수