Posts by Collection

BIGexplore: Bayesian Information Gain Framework for Information Exploration

Kihoon Son*, Kyungmin Kim*, Kyunghoon Hyun.
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 11(2) pp. 1-16, 2022

• Roles involved: Seminars on basic information theory and Bayesian experimental design for UI researchers, problem formulation, literature review, algorithm design and implementation (Python), experimental design, and paper writing up to the experiment section
• Roles not involed: UI design and paper writing after the experiment section

Markov Chain Monte Carlo-based Manufacturing Process Control Algorithm: An Application to Steel Plate Production

Kyungmin Kim.
Masters Thesis., 2024

Selective Generation for Controllable Language Models

Minjae Lee*, Kyungmin Kim*, Taesoo Kim, Sangdon Park.
Advances in Neural Information Processing Systems 38 (spotlight)., 2024

• Roles involved: Problem formulation, literature review, algorithm design and proofs, experimental design, data labeling (70%), and full paper writing
• Roles not involed: Code implementation (except for transforming a question-answer pair into a declarative form), data labeling (30%)

BIGexplore: Bayesian Information Gain Framework for Information Exploration Permalink

Markov Chain Monte Carlo-based Manufacturing Process Control Algorithm

Selective Generation for Controllable Language Models

Selective Generation for Controllable Language Models

Selective Generation for Controllable Language Models Permalink

Teaching Assistant

Undergraduate & graduate course, Pohang University of Science and Technology, 2022–2024

• Statistical Data Mining [Spring 22]
• Trustworthy Machine Learning [Fall 24]