Kim, Jungtaek

20 publications

ICML 2025 Density Ratio Estimation-Based Bayesian Optimization with Semi-Supervised Learning Jungtaek Kim

ICML 2025 VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data Thomas Zeng, Shuibai Zhang, Shutong Wu, Christian Classen, Daewon Chae, Ethan Ewer, Minjae Lee, Heeju Kim, Wonjun Kang, Jackson Kunde, Ying Fan, Jungtaek Kim, Hyung Il Koo, Kannan Ramchandran, Dimitris Papailiopoulos, Kangwook Lee

TMLR 2024 Budget-Aware Sequential Brick Assembly with Efficient Constraint Satisfaction Seokjun Ahn, Jungtaek Kim, Minsu Cho, Jaesik Park

NeurIPSW 2024 Discovering Multi-Layer Films for Electromagnetic Interference Shielding and Passive Cooling with Multi-Objective Active Learning Mingxuan Li, Jungtaek Kim, Paul Leu

ICLR 2024 Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions Jungtaek Kim, Jeongbeen Yoon, Minsu Cho

NeurIPS 2024 Model Fusion Through Bayesian Optimization in Language Model Fine-Tuning Chaeyun Jang, Hyungi Lee, Jungtaek Kim, Juho Lee

ICML 2024 Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization Kwang-Sung Jun, Jungtaek Kim

NeurIPS 2023 Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations Jungtaek Kim, Mingxuan Li, Oliver Hinder, Paul Leu

NeurIPS 2023 Generative Neural Fields by Mixtures of Neural Implicit Functions Tackgeun You, Mijeong Kim, Jungtaek Kim, Bohyung Han

AISTATS 2022 On Uncertainty Estimation by Tree-Based Surrogate Models in Sequential Model-Based Optimization Jungtaek Kim, Seungjin Choi

UAI 2022 Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes Jungtaek Kim, Seungjin Choi, Minsu Cho

IJCAI 2022 Learning to Assemble Geometric Shapes Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho

ICLR 2022 On Evaluation Metrics for Graph Generative Models Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor

MLJ 2021 Bayesian Optimization with Approximate Set Kernels Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi

NeurIPS 2021 Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho

NeurIPS 2020 Bootstrapping Neural Processes Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh

NeurIPSW 2020 Fragment Relation Networks for Geometric Shape Assembly Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho

ECML-PKDD 2020 On Local Optimizers of Acquisition Functions in Bayesian Optimization Jungtaek Kim, Seungjin Choi

ICML 2019 Set Transformer: A Framework for Attention-Based Permutation-Invariant Neural Networks Juho Lee, Yoonho Lee, Jungtaek Kim, Adam Kosiorek, Seungjin Choi, Yee Whye Teh

AAAI 2018 On the Optimal Bit Complexity of Circulant Binary Embedding Saehoon Kim, Jungtaek Kim, Seungjin Choi