Park, Jinkyoo

58 publications

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

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

AAAI 2025 Learning Strategy Representation for Imitation Learning in Multi-Agent Games Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park

CVPR 2025 Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation Taeyoung Yun, Dinghuai Zhang, Jinkyoo Park, Ling Pan

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

ICML 2025 Neural Genetic Search in Discrete Spaces Hyeonah Kim, Sanghyeok Choi, Jiwoo Son, Jinkyoo Park, Changhyun Kwon

ICLRW 2025 Neural Genetic Search in Discrete Spaces Hyeonah Kim, Sanghyeok Choi, Jiwoo Son, Jinkyoo Park, Changhyun Kwon

NeurIPS 2025 PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization Federico Berto, Chuanbo Hua, Laurin Luttmann, Jiwoo Son, Junyoung Park, Kyuree Ahn, Changhyun Kwon, Lin Xie, Jinkyoo Park

ICML 2025 Posterior Inference with Diffusion Models for High-Dimensional Black-Box Optimization Taeyoung Yun, Kiyoung Om, Jaewoo Lee, Sujin Yun, Jinkyoo Park

ICLRW 2025 Posterior Inference with Diffusion Models for High-Dimensional Black-Box Optimization Taeyoung Yun, Kiyoung Om, Jaewoo Lee, Sujin Yun, Jinkyoo Park

TMLR 2025 RouteFinder: Towards Foundation Models for Vehicle Routing Problems Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda, André Hottung, Niels Wouda, Leon Lan, Junyoung Park, Kevin Tierney, Jinkyoo Park

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

NeurIPS 2024 GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning Jaewoo Lee, Sujin Yun, Taeyoung Yun, 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

NeurIPS 2024 Guided Trajectory Generation with Diffusion Models for Offline Model-Based Optimization Taeyoung Yun, Sujin Yun, Jaewoo Lee, Jinkyoo Park

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

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

NeurIPS 2024 ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution Haoran Ye, Jiarui Wang, Zhiguang Cao, Federico Berto, Chuanbo Hua, Haeyeon Kim, Jinkyoo Park, Guojie Song

ICMLW 2024 RouteFinder: Towards Foundation Models for Vehicle Routing Problems Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda, André Hottung, Niels Wouda, Leon Lan, Kevin Tierney, Jinkyoo Park

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

AISTATS 2023 Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior Yohan Jung, 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

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

NeurIPS 2023 Learning Efficient Surrogate Dynamic Models with Graph Spline Networks Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park

ICLR 2023 Learning to CROSS Exchange to Solve Min-Max Vehicle Routing Problems Minjun Kim, Junyoung Park, 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

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

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

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

ICLR 2022 Convergent Graph Solvers Junyoung Park, Jinhyun Choo, Jinkyoo Park

ICML 2022 Efficient Approximate Inference for Stationary Kernel on Frequency Domain Yohan Jung, Kyungwoo Song, Jinkyoo Park

ICMLW 2022 Efficient Continuous Spatio-Temporal Simulation with Graph Spline Networks Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park

NeurIPS 2022 Learning NP-Hard Multi-Agent Assignment Planning Using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-Learning Hyunwook Kang, Taehwan Kwon, Jinkyoo Park, James R. Morrison

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

ICLR 2022 Neural Solvers for Fast and Accurate Numerical Optimal Control Federico Berto, Stefano Massaroli, Michael Poli, Jinkyoo Park

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

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

NeurIPS 2022 Transform Once: Efficient Operator Learning in Frequency Domain Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon

ICMLW 2022 Transform Once: Efficient Operator Learning in Frequency Domain Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Re, Stefano Ermon

NeurIPS 2021 Differentiable Multiple Shooting Layers Stefano Massaroli, Michael Poli, Sho Sonoda, Taiji Suzuki, Jinkyoo Park, Atsushi Yamashita, Hajime Asama

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

NeurIPS 2021 Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions Michael Poli, Stefano Massaroli, Luca Scimeca, Sanghyuk Chun, Seong Joon Oh, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg

NeurIPSW 2021 Neural Solvers for Fast and Accurate Numerical Optimal Control Federico Berto, Stefano Massaroli, Michael Poli, Jinkyoo Park

NeurIPS 2020 Dissecting Neural ODEs Stefano Massaroli, Michael Poli, Jinkyoo Park, Atsushi Yamashita, Hajime Asama

NeurIPS 2020 Hypersolvers: Toward Fast Continuous-Depth Models Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park

AAAI 2020 Multi-Agent Actor-Critic with Hierarchical Graph Attention Network Heechang Ryu, Hayong Shin, Jinkyoo Park

ICLRW 2020 Neural Ordinary Differential Equation Value Networks for Parametrized Action Spaces Stefano Massaroli, Michael Poli, Sanzhar Bakhtiyarov, Atsushi Yamashita, Hajime Asama, Jinkyoo Park

ICLRW 2020 Port-Hamiltonian Gradient Flows Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park