Joint principal investigator for theoretical deep learning; specifically, (learning) dynamics of DNNs and optimization algorithms, and if possible, their practical implications
(Advised by Se-Young Yun, Joint work with SeongYoon Kim, Namgyu Ho)
Principal investigator for developing efficient, fair dimensionality reduction algorithms.
(Advised by Chang Dong Yoo and Gwangsu Kim, Joint work with Matt Olfat)
Joint principal investigator for applying machine learning methodologies to infer the underlying dynamical model of plant circadian clocks.
(Advised by Jae Kyoung Kim, Joint work with Seokmin Ha and Dae Wook Kim)
Joint principal investigator for extending SWAY (Chen et al., 2016) to the space of permutations via a novel and theoretically well-motivated Euclidean embedding.
(Advised by Shin Yoo, Joint work with Chani Jung, Yoo Hwa Park, Dongmin Lee, Juyeon Yoon)