Kim, Minsu

67 publications

TMLR 2026 Offline Model-Based Optimization: Comprehensive Review Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen

NeurIPS 2025 Adaptive Inference-Time Scaling via Cyclic Diffusion Search Gyubin Lee, Bao N Nguyen Truong, Jaesik Yoon, Dongwoo Lee, Minsu Kim, Yoshua Bengio, Sungjin Ahn

ICLR 2025 Adaptive Teachers for Amortized Samplers Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio

AISTATS 2025 Ant Colony Sampling with GFlowNets for Combinatorial Optimization Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jiwoo Son, Jinkyoo Park, Yoshua Bengio

TMLR 2025 Decoupled Sequence and Structure Generation for Realistic Antibody Design Nayoung Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park

NeurIPS 2025 Energy-Based Generator Matching: A Neural Sampler for General State Space Dongyeop Woo, Minsu Kim, Minkyu Kim, Kiyoung Seong, Sungsoo Ahn

ICCV 2025 ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors Minsu Kim, Subin Jeon, In Cho, Mijin Yoo, Seon Joo Kim

ICLR 2025 Generative Flows on Synthetic Pathway for Drug Design Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim

ICML 2025 Improved Off-Policy Reinforcement Learning in Biological Sequence Design Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-Garcı́a, Jinkyoo Park

ICLR 2025 Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain

ICLR 2025 MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

CVPR 2025 Mixture of Submodules for Domain Adaptive Person Search Minsu Kim, Seungryong Kim, Kwanghoon Sohn

NeurIPS 2025 MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition Umberto Cappellazzo, Minsu Kim, Pingchuan Ma, Honglie Chen, Xubo Liu, Stavros Petridis, Maja Pantic

NeurIPS 2025 Non-Adaptive Adversarial Face Generation Sunpill Kim, Seunghun Paik, Chanwoo Hwang, Minsu Kim, Jae Hong Seo

NeurIPS 2025 On Scalable and Efficient Training of Diffusion Samplers Minkyu Kim, Kiyoung Seong, Dongyeop Woo, Sungsoo Ahn, Minsu Kim

ICML 2025 Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin

ICLRW 2025 Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin

ICLRW 2025 Solving Bayesian Inverse Problems with Diffusion Priors and Off-Policy RL Luca Scimeca, Siddarth Venkatraman, Moksh Jain, Minsu Kim, Marcin Sendera, Mohsin Hasan, Alexandre Adam, Yashar Hezaveh, Laurence Perreault-Levasseur, Yoshua Bengio, Glen Berseth, Nikolay Malkin

CVPR 2025 T-CIL: Temperature Scaling Using Adversarial Perturbation for Calibration in Class-Incremental Learning Seong-Hyeon Hwang, Minsu Kim, Steven Euijong Whang

NeurIPS 2025 Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training Brian R. Bartoldson, Siddarth Venkatraman, James Diffenderfer, Moksh Jain, Tal Ben-Nun, Seanie Lee, Minsu Kim, Johan Obando-Ceron, Yoshua Bengio, Bhavya Kailkhura

ICCV 2025 Zero-AVSR: Zero-Shot Audio-Visual Speech Recognition with LLMs by Learning Language-Agnostic Speech Representations Jeong Hun Yeo, Minsu Kim, Chae Won Kim, Stavros Petridis, Yong Man Ro

CVPR 2024 AV2AV: Direct Audio-Visual Speech to Audio-Visual Speech Translation with Unified Audio-Visual Speech Representation Jeongsoo Choi, Se Jin Park, Minsu Kim, Yong Man Ro

NeurIPS 2024 Amortizing Intractable Inference in Diffusion Models for Vision, Language, and Control Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin

AAAI 2024 Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context Jiwoo Son, Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jinkyoo Park

NeurIPSW 2024 Generative Flows on Synthetic Pathway for Drug Design Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim

NeurIPS 2024 Genetic-Guided GFlowNets for Sample Efficient Molecular Optimization Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park

ECCV 2024 Hierarchically Structured Neural Bones for Reconstructing Animatable Objects from Casual Videos Subin Jeon, In Cho, Minsu Kim, Woong Oh Cho, Seon Joo Kim

WACV 2024 Implicit Neural Image Stitching with Enhanced and Blended Feature Reconstruction Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin

NeurIPSW 2024 Improved Off-Policy Reinforcement Learning in Biological Sequence Design Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park

NeurIPS 2024 Improved Off-Policy Training of Diffusion Samplers Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, Nikolay Malkin

NeurIPSW 2024 Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain

ICLR 2024 Learning Energy Decompositions for Partial Inference in GFlowNets Hyosoon Jang, Minsu Kim, Sungsoo Ahn

WACV 2024 Learning Residual Elastic Warps for Image Stitching Under Dirichlet Boundary Condition Minsu Kim, Yongjun Lee, Woo Kyoung Han, Kyong Hwan Jin

ICML 2024 Learning to Scale Logits for Temperature-Conditional GFlowNets Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woo Chang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio

ICLR 2024 Local Search GFlowNets Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park

NeurIPSW 2024 MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

NeurIPS 2024 Pessimistic Backward Policy for GFlowNets Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn

AAAI 2024 Quilt: Robust Data Segment Selection Against Concept Drifts Minsu Kim, Seonghyeon Hwang, Steven Euijong Whang

NeurIPS 2024 SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low Computational Overhead Minsu Kim, Walid Saad, Merouane Debbah, Choong Seon Hong

ICML 2024 Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park

NeurIPS 2023 Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park

ICMLW 2023 Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park

AAAI 2023 Deep Visual Forced Alignment: Learning to Align Transcription with Talking Face Video Minsu Kim, Chae Won Kim, Yong Man Ro

ICML 2023 DevFormer: A Symmetric Transformer for Context-Aware Device Placement Haeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park

NeurIPSW 2023 Learning to Scale Logits for Temperature-Conditional GFlowNets Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woo Chang Kim, Jinkyoo Park, Yoshua Bengio

ICCV 2023 Lip Reading for Low-Resource Languages by Learning and Combining General Speech Knowledge and Language-Specific Knowledge Minsu Kim, Jeong Hun Yeo, Jeongsoo Choi, Yong Man Ro

ICML 2023 Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park

WACV 2023 Normality Guided Multiple Instance Learning for Weakly Supervised Video Anomaly Detection Seongheon Park, Hanjae Kim, Minsu Kim, Dahye Kim, Kwanghoon Sohn

CVPR 2023 PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-Identification Minsu Kim, Seungryong Kim, Jungin Park, Seongheon Park, Kwanghoon Sohn

NeurIPSW 2023 RL4CO: A Unified Reinforcement Learning for Combinatorial Optimization Library Federico Berto, Chuanbo Hua, Junyoung Park, Minsu Kim, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Joungho Kim, Jinkyoo Park

ICMLW 2023 Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context Jiwoo Son, Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jinkyoo Park

ICMLW 2023 Symmetric Exploration in Combinatorial Optimization Is Free! Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park

CVPR 2023 Watch or Listen: Robust Audio-Visual Speech Recognition with Visual Corruption Modeling and Reliability Scoring Joanna Hong, Minsu Kim, Jeongsoo Choi, Yong Man Ro

IJCAI 2022 CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou

NeurIPSW 2022 Collaborative Symmetricity Exploitation for Offline Learning of Hardware Design Solver Haeyeon Kim, Minsu Kim, Joungho Kim, Jinkyoo Park

AAAI 2022 Distinguishing Homophenes Using Multi-Head Visual-Audio Memory for Lip Reading Minsu Kim, Jeong Hun Yeo, Yong Man Ro

NeurIPSW 2022 Neural Coarsening Process for Multi-Level Graph Combinatorial Optimization Hyeonah Kim, Minsu Kim, Changhyun Kwon, Jinkyoo Park

NeurIPSW 2022 Scale-Conditioned Adaptation for Large Scale Combinatorial Optimization Minsu Kim, Jiwoo Son, Hyeonah Kim, Jinkyoo Park

ECCV 2022 Speaker-Adaptive Lip Reading with User-Dependent Padding Minsu Kim, Hyunjun Kim, Yong Man Ro

NeurIPS 2022 Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization Minsu Kim, Junyoung Park, Jinkyoo Park

AAAI 2022 SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory Se Jin Park, Minsu Kim, Joanna Hong, Jeongsoo Choi, Yong Man Ro

ECCV 2022 VisageSynTalk: Unseen Speaker Video-to-Speech Synthesis via Speech-Visage Feature Selection Joanna Hong, Minsu Kim, Yong Man Ro

AAAI 2021 Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation Minsu Kim, Sunghun Joung, Seungryong Kim, Jungin Park, Ig-Jae Kim, Kwanghoon Sohn

ICCV 2021 Learning Canonical 3D Object Representation for Fine-Grained Recognition Sunghun Joung, Seungryong Kim, Minsu Kim, Ig-Jae Kim, Kwanghoon Sohn

NeurIPS 2021 Learning Collaborative Policies to Solve NP-Hard Routing Problems Minsu Kim, Jinkyoo Park, Joungho Kim

NeurIPS 2021 Lip to Speech Synthesis with Visual Context Attentional GAN Minsu Kim, Joanna Hong, Yong Man Ro

ICCV 2021 Multi-Modality Associative Bridging Through Memory: Speech Sound Recollected from Face Video Minsu Kim, Joanna Hong, Se Jin Park, Yong Man Ro