KAIST
Associate Professor
School of Computing
Graduate School of AI
KAIST-Mila Prefrontal AI Center
New York University
Joint Appointment Professor
I am currently an Associate Professor in the School of Computing at KAIST and a joint appointment professor at New York University. Prior to joining KAIST, I served as an Assistant Professor of Computer Science at Rutgers University, where I was also affiliated with the Center for Cognitive Science. I direct the Machine Learning and Mind Lab, which operates at both KAIST and Rutgers, as well as the KAIST-Mila Prefrontal AI Research Center. You can find my research interests here. My academic journey includes earning a Ph.D. from the University of California, Irvine, where I studied scalable approximate Bayesian inference under Prof. Max Welling's supervision. Subsequently, I completed a postdoctoral fellowship at MILA, focusing on deep learning under the mentorship of Prof. Yoshua Bengio. My complete CV is available here. Contact
Email: sjn.[lastname]@gmail.com or [firstname].[lastname]@kaist.ac.kr
Office: E3-1 3435, KAIST
Services
Conference Organization Committee
•
NeurIPS 2022 (Workshop Chair)
Workshop Organizing Committee
Area Chair
•
NeurIPS (2021~)
•
ICML (2021~)
•
ICLR (2023~)
•
AAAI(2021~)
Reviewer
•
NeurIPS (2015-2020)
•
ICML (2015-2020)
•
ICLR(2015-2022)
•
AISTATS(2015 - 2020)
•
AAAI(2015 - 2020)
Awards
•
•
•
2016, Best Paper Award, International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics (ParLearning)
•
2012, Best Paper Award, International Conference on Machine Learning (ICML)
Teaching
•
2024-Spring, CS492, Deep Reinforcement Learning, KAIST
•
2023-Fall, CS672, Reinforcement Learning (Graduate-Level), KAIST
•
2023-Spring, CS492, Deep Reinforcement Learning, KAIST
•
2022-Fall, CS570: Artificial Intelligence and Machine Learning, KAIST
•
2022-Spring, CS376: Machine Learning, KAIST
•
2021-Spring, CS536: Machine Learning, Rutgers University
•
2020-Fall, CS444: Topics in Computer Science: Deep Learning, Rutgers University
•
2020-Spring, CS536: Machine Learning, Rutgers University
•
2019-Fall, CS535: Pattern Recognition, Rutgers University
•
2019-Spring, CS671: Probabilistic Agent Learning, Rutgers University
•
2012-Fall, Project in AI, UC Irvine (Teaching Assistant)
•
2012-Summer, Undergraduate Summer Research in Machine Learning, UC Irvine (Teaching Assistant)
•
2012-Spring, Recommender Systems, UC Irvine (Teaching Assistant)
Invited Talks
•
“In Search of Neural Language of Thought Models,” Language Intelligence Research Lab, ETRI, July, 2024
•
“In Search of Neural Language of Thought Models,” Embodied Intelligence Research Lab, ETRI, June, 2024
•
“In Search of Neural Language of Thought Models,” CVPR Workshop on Causal and Object-Centric Representations for Robotics, June 17, 2024
•
“World Models for High-Level Cognition”, CNIR Symposium on Brain, Mind, and Computation, Sungkyunkwan University, July, 2022
•
“Unsupervised Discovery of World Structure”, KCC Machine Learning Workshop, Jeju, July 11, 2022
•
“Deep Learning for Understanding the World like Humans”, Colloquium at KAIST Software Graduate Program, Mar 31, 2022
•
“Unsupervised Discovery of World Structure”, Samsung Research, Mar 31, 2022
•
Handong Global University, Feb. 2021
•
Element AI, Canada, Nov. 2019
•
Center for Cognitive Science, Rutgers University, Nov. 2019
•
New York University, USA, Nov. 2019
•
KAIST, Korea, Aug. 6, 2018
•
Naver, Korea, Aug. 3, 2018
•
Kakao Brain, Korea, Aug. 2, 2018
•
Kakao Brain, Korea, Aug. 18, 2017
•
Vector Institute, Toronto, May. 9, 2017
•
Rutgers University, New Jersey, May. 1, 2017
•
Microsoft Research, Redmond, Apr. 28, 2017
•
Microsoft Maluuba, Montreal, Apr. 19, 2017
•
Element AI, Montreal, Apr. 7, 2017
•
IBM T. J. Watson Research, New York, Mar. 6, 2017
•
Naver Labs, Korea, Jan. 24, 2017
•
University of Southern California, Jan. 17, 2017
•
Yonsei University, Korea, Jan. 13, 2017
•
Seoul National University, Korea, Jan. 12, 2017
•
SK T-Brain, Korea, Jan. 11, 2017
•
KAIST, Korea, Jan. 6, 2017
•
SK-Telecom Research, Korea, Dec. 2016
•
Agency for Defence Development, Korea, Dec. 2016
•
KAIST, Korea, 2015
•
University of Toronto, Toronto, Machine Learning Group, Spring 2015
•
University of Montreal, MILA, Montreal, Spring 2015
•
ID Analytics Inc., San Diego, 2012