Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty. - Jeffrey Ryan Willette; Hae Beom Lee; Juho Lee 001; Sung Ju Hwang (ICLR, 2022)

Dataset Condensation with Latent Space Knowledge Factorization and Sharing. - Hae Beom Lee; Dong Bok Lee; Sung Ju Hwang (CoRR, 2022)

Delta-AI: Local objectives for amortized inference in sparse graphical models. - Jean-Pierre R. Falet; Hae Beom Lee; Nikolay Malkin; Chen Sun 007; Dragos Secrieru; Dinghuai Zhang; Guillaume Lajoie; Yoshua Bengio (ICLR, 2024)

Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation. - Dong Bok Lee; Aoxuan Silvia Zhang; Byungjoo Kim; Junhyeon Park; Juho Lee 001; Sung Ju Hwang; Hae Beom Lee (CoRR, 2024)

Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks. - Dongwoo Lee; Dong Bok Lee; Steven Adriaensen; Juho Lee; Sung Ju Hwang; Frank Hutter; Seon Joo Kim; Hae Beom Lee (CoRR, 2025)