Intelligence Representation & Reasoning Lab
Gwangju Institute of Science and Technology (GIST)
How to build a single accumulative intelligence
for more general and wider problems?
modified at Jun 23, 2021
Join Us!
We are always looking for strongly self-motivated students for Ph.D., and Postdoctoral Program, who want to dive into research for deep and fundamental understanding of AI. If you want to join in, please send an email (kangil dot kim dot 01 at gmail.com).
(Intership for GIST students) please watch this video for internship, and send me an email.
News
25.01.16: Sungmin Moon, Junbo Kwon, Jongmin park, Minwoo Kang joined our lab.
24.11.06: Congratulation! accepted paper by TMLR, “CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder”
24.05.16: Congratulations! accepted ACL Findings 2024 “Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction”
Recent publications
TMLR, "CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder"
November 06, 2024
ACL 2024 Findings, "Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction"
August 11, 2024
ICLR 2024, "Label-Focused Inductive Bias over Latent Object Features in Visual Classification"
January 20, 2024
