Hae Beom Lee

According to our database, Hae Beom Lee authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GFlowPO: Generative Flow Network as a Language Model Prompt Optimizer.

Junmo Cho, Suhan Kim, Sangjune An, Minsu Kim, Dong Bok Lee, Heejun Lee, Sung Ju Hwang, Hae Beom Lee

CoRR, February, 2026

2025

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, May, 2025

Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning.

Dong Bok Lee, Aoxuan Silvia Zhang, Byungjoo Kim, Junhyeon Park, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Hae Beom Lee

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks.

Dongwoo Lee, Dong Bok Lee, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Frank Hutter, Seon Joo Kim, Hae Beom Lee

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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, Sung Ju Hwang, Hae Beom Lee

CoRR, 2024

Delta-AI: Local objectives for amortized inference in sparse graphical models.

Jean-Pierre R. Falet, Hae Beom Lee, Nikolay Malkin, Chen Sun, Dragos Secrieru, Dinghuai Zhang, Guillaume Lajoie, Yoshua Bengio

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Dataset Condensation with Latent Space Knowledge Factorization and Sharing.

Hae Beom Lee, Dong Bok Lee, Sung Ju Hwang

CoRR, 2022

Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty.

Jeffrey Ryan Willette, Hae Beom Lee, Juho Lee, Sung Ju Hwang

Proceedings of the Tenth International Conference on Learning Representations, 2022