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Workshop: Object Representations for Learning and Reasoning

Invited Talk: Sungjin Ahn

Sungjin Ahn


Sungjin Ahn is an Assistant Professor of Computer Science at Rutgers University and directs the Rutgers Machine Learning (RUML) lab. He is also affiliated with Rutgers Center for Cognitive Science. His research focus is on how an AI-agent can learn the structure and representations of the world in an unsupervised and compositional way, with a particular interest in object-centric learning. His approach to achieving this is based on deep learning, Bayesian modeling, reinforcement learning, and inspiration from cognitive & neuroscience. He received Ph.D. at the University of California, Irvine with Max Welling and did a postdoc with Yoshua Bengio at Mila. Then, he joined Rutgers University in Fall 2018. He has co-organized ICML 2020 Workshop on Object-Oriented Learning and received the ICML best paper award in ICML 2012.