Lim, Sungbin

17 publications

NeurIPS 2025 Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards Kyungjae Lee, Dohyeong Kim, Taehyun Cho, Chaeyeon Kim, Yunkyung Ko, Seungyub Han, Seokhun Ju, Dohyeok Lee, Sungbin Lim

ICLRW 2025 Probability-Flow ODE in Infinite-Dimensional Function Spaces Kunwoo Na, Junghyun Lee, Se-Young Yun, Sungbin Lim

NeurIPS 2025 Score-Informed Neural Operator for Enhancing Ordering-Based Causal Discovery Jiyeon Kang, Songseong Kim, Chanhui Lee, Doyeong Hwang, Joanie Hayoun Chung, Yunkyung Ko, Sumin Lee, Sungwoong Kim, Sungbin Lim

ICMLW 2024 Filling in the Gaps: LLM-Based Structured Data Generation from Semi-Structured Scientific Data Hanbum Ko, Hongjun Yang, Sehui Han, Sungwoong Kim, Sungbin Lim, Rodrigo Hormazabal

NeurIPSW 2024 On Incorporating Prior Knowledge Extracted from Pre-Trained Language Models into Causal Discovery Chanhui Lee, Juhyeon Kim, YongJun Jeong, Yoonseok Yeom, Juhyun Lyu, Jung-Hee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Kyunghoon Bae, Sungbin Lim, Sanghack Lee

ICMLW 2024 Scalable Multi-Task Transfer Learning for Molecular Property Prediction Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim

WACV 2024 Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images Wonwoo Cho, Dongmin Choi, Hyesu Lim, Jinho Choi, Saemee Choi, Hyun-seok Min, Sungbin Lim, Jaegul Choo

NeurIPS 2024 Stochastic Optimal Control for Diffusion Bridges in Function Spaces Byoungwoo Park, Jungwon Choi, Sungbin Lim, Juho Lee

ICMLW 2023 Hierarchical Decomposition Framework for Feasibility-Hard Combinatorial Optimization Hanbum Ko, Minu Kim, Han-Seul Jeong, Sunghoon Hong, Deunsol Yoon, Youngjoon Park, Woohyung Lim, Honglak Lee, Moontae Lee, Kanghoon Lee, Sungbin Lim, Sungryull Sohn

NeurIPS 2023 Score-Based Generative Modeling Through Stochastic Evolution Equations in Hilbert Spaces Sungbin Lim, Eun Bi Yoon, Taehyun Byun, Taewon Kang, Seungwoo Kim, Kyungjae Lee, Sungjoon Choi

NeurIPS 2023 Score-Based Generative Models with Lévy Processes Eun Bi Yoon, Keehun Park, Sungwoong Kim, Sungbin Lim

NeurIPSW 2022 Score-Based Generative Models with Lévy Processes Eunbi Yoon, Keehun Park, Jinhyeok Kim, Sungbin Lim

NeurIPS 2021 Neural Bootstrapper Minsuk Shin, Hyungjoo Cho, Hyun-seok Min, Sungbin Lim

AAAI 2020 Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Tomás Lozano-Pérez

NeurIPS 2020 Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh

CVPR 2020 Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sungbin Lim

NeurIPS 2019 Fast AutoAugment Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim