KAIST-Mila Prefrontal AI Research Center
Korea Advanced Institute of Science and Technology (KAIST)
Welcome to the Machine Learning and Mind Lab (MLML) at KAIST. Our research aims to “develop machine learning algorithms for human-like general artificial intelligence” that can help us solve the hard problems of humanity. We seek to achieve this by creating learning algorithms fundamental to perception, cognition, and action. We hope that this computational approach will also shed light on the inner workings of the human mind.
Contact
Email: sungjin.ahn@kaist.ac.kr
Address: E3-1 3435, 291 Daehak-ro, Yuseong-gu, Daejeon, South Korea
Phone: 042-350-3588
News - 2024
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09/13/24 - Fei Deng has successfully finished his Ph.D. defense. Congratulations Dr. Deng! Fei will be joining Google.
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07/29/24 - We have launched KAIST-Mila Prefrontal AI Research Center. We will collaborate with Prof. Yoshua Bengio for the research of System 2 Deep Learning
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02/06/24 - We hosted KAIST AGI Seminar Series #2 - Prof. Yoshua Bengio. Visit link for more information!
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01/16/24 - Four papers have been accepted at ICLR 2024. One paper on the Spatially-Aware Transformer has been selected as a spotlight paper. Congratulations to all authors!
News - 2023
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11/17/23 - We held the first KAIST Seminar Series on AGI. The speaker for this event was Jim Fan
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Three papers are accepted in NeurIPS 2023 with one spotlight paper. Congratulations to all authors!
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Sungjin Ahn gave an invited talk at DeepMind about “Toward Neural Systematic Binder”, Feb 2023
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Sungjin Ahn is co-organizing ICLR 22 Workshop on the Elements of Reasoning: Objects, Structure, and Causality.
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“ROOTS: Object-Centric Representation and Rendering for 3D Scenes” is accepted in the Journal of Machine Learning Research
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Two papers are accepted in ICML 2021
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Our paper “Generative Neurosymbolic Machines” is accepted in NeurIPS 2020 as a spotlight!
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Invited Speaker for NeurIPS 2020 Workshop on Object Representations for Learning and Reasoning
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Teaching in Fall 2020: CS 444: Deep Learning
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2 papers accepted in ICLR 2020
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3 papers accepted in NeurIPS 2019 including one spotlight paper