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cs.LG2024
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Seojin Kim, Jaehyun Nam, Sihyun Yu +2
Developing an effective molecular generation framework even with a limited number of molecules is often important for its practical deployment, e.g., drug discovery, since acquirin…
cs.LG2022
Confidence-aware Training of Smoothed Classifiers for Certified Robustness
Jongheon Jeong, Seojin Kim, Jinwoo Shin
Any classifier can be "smoothed out" under Gaussian noise to build a new classifier that is provably robust to -adversarial perturbations, viz., by averaging its prediction…