Jinkyoo Park

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 109

Top Venues

Publications

Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park
Genetic-guided GFlowNets: Advancing in Practical Molecular Optimization Benchmark. CoRR (2024)
Huijie Tang, Federico Berto, Jinkyoo Park
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding. CoRR (2024)
Nayoung Kim, Minsu Kim, Jinkyoo Park
Anfinsen Goes Neural: a Graphical Model for Conditional Antibody Design. CoRR (2024)
Minsu Kim, Sanghyeok Choi, Jiwoo Son, Hyeonah Kim, Jinkyoo Park, Yoshua Bengio
Ant Colony Sampling with GFlowNets for Combinatorial Optimization. CoRR (2024)
Jiwoo Son, Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jinkyoo Park
Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context. AAAI (2024)
Jaewoo Lee, Sujin Yun, Taeyoung Yun, Jinkyoo Park
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning. CoRR (2024)
Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
Local Search GFlowNets. ICLR (2024)
Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda, André Hottung, Niels A. Wouda, Leon Lan, Kevin Tierney, Jinkyoo Park
RouteFinder: Towards Foundation Models for Vehicle Routing Problems. CoRR (2024)
Huijie Tang, Federico Berto, Zihan Ma, Chuanbo Hua, Kyuree Ahn, Jinkyoo Park
HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding. AAMAS (2024)
Taeyoung Yun, Sujin Yun, Jaewoo Lee, Jinkyoo Park
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization. CoRR (2024)
Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
Pessimistic Backward Policy for GFlowNets. CoRR (2024)
Alexandros E. Tzikas, Jinkyoo Park, Mykel J. Kochenderfer, Ross E. Allen
Distributed Online Planning for Min-Max Problems in Networked Markov Games. CoRR (2024)
Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation. IEEE Trans. Robotics 40 (2024)
Alexandros E. Tzikas, Jinkyoo Park, Mykel J. Kochenderfer, Ross E. Allen
Distributed Online Planning for Min-Max Problems in Networked Markov Games. IEEE Robotics Autom. Lett. 9 (7) (2024)
Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park, Jiachen Li
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games. AAMAS (2024)
Huijie Tang, Federico Berto, Zihan Ma, Chuanbo Hua, Kyuree Ahn, Jinkyoo Park
HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding. CoRR (2024)
Taeyoung Yun, Kanghoon Lee, Sujin Yun, Ilmyung Kim, Won-Woo Jung, Min-Cheol Kwon, Kyujin Choi, Yoohyeon Lee, Jinkyoo Park
An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems. KDD (2024)
Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park, Jiachen Li
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games. CoRR (2024)
Jiachen Li, Chuanbo Hua, Hengbo Ma, Jinkyoo Park, Victoria Magdalena Dax, Mykel J. Kochenderfer
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation. CoRR (2024)
Kyuree Ahn, Heemang Park, Jinkyoo Park
Learning to Schedule in Multi-Agent Pathfinding. IROS (2023)
Abhay Sobhanan, Junyoung Park, Jinkyoo Park, Changhyun Kwon
Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems. CoRR (2023)
Jiwoo Son, Minsu Kim, Sanghyeok Choi, Jinkyoo Park
Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context. CoRR (2023)
Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park
Symmetric Exploration in Combinatorial Optimization is Free! CoRR (2023)
Jaeyeon Jo, Jihwan Yu, Jinkyoo Park
Computing Algorithm for an Equilibrium of the Generalized Stackelberg Game. CoRR (2023)
Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
Local Search GFlowNets. CoRR (2023)
Minjun Kim, Junyoung Park, Jinkyoo Park
Learning to CROSS exchange to solve min-max vehicle routing problems. ICLR (2023)
Junyoung Park, Changhyun Kwon, Jinkyoo Park
Learn to Solve the Min-max Multiple Traveling Salesmen Problem with Reinforcement Learning. AAMAS (2023)
Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks. CoRR (2023)
Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization. ICML (2023)
Jiyoung Jung, Kundo Park, Byungjin Cho, Jinkyoo Park, Seunghwa Ryu
Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks. J. Intell. Manuf. 34 (8) (2023)
Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, Yoshua Bengio
Learning to Scale Logits for Temperature-Conditional GFlowNets. CoRR (2023)
Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks. NeurIPS (2023)
Vivian Wen Hui Wong, Sang Hun Kim, Junyoung Park, Jinkyoo Park, Kincho H. Law
Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning. CoRR (2023)
Federico Berto, Chuanbo Hua, Junyoung Park, Minsu Kim, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Joungho Kim, Jinkyoo Park
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. CoRR (2023)
Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. NeurIPS (2023)
Haeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park
DevFormer: A Symmetric Transformer for Context-Aware Device Placement. ICML (2023)
Kanghoon Yoon, Youngjun Im, Jingyu Choi, Taehwan Jeong, Jinkyoo Park
Learning Multivariate Hawkes Process via Graph Recurrent Neural Network. KDD (2023)
Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. CoRR (2023)
Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Robust Driving Policy Learning with Guided Meta Reinforcement Learning. CoRR (2023)
Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation. CoRR (2023)
Hyeonah Kim, Jinkyoo Park, Changhyun Kwon
A Neural Separation Algorithm for the Rounded Capacity Inequalities. CoRR (2023)
Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Robust Driving Policy Learning with Guided Meta Reinforcement Learning. ITSC (2023)
Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization. CoRR (2023)
Yohan Jung, Jinkyoo Park
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior. AISTATS (2023)
Stefano Massaroli, Michael Poli, Federico Califano, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Optimal Energy Shaping via Neural Approximators. SIAM J. Appl. Dyn. Syst. 21 (3) (2022)
Minsu Kim, Junyoung Park, Jinkyoo Park
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization. NeurIPS (2022)
Minjun Kim, Junyoung Park, Jinkyoo Park
Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems. CoRR (2022)
Haewon Jung, Junyoung Park, Jinkyoo Park
Learning context-aware adaptive solvers to accelerate quadratic programming. CoRR (2022)
Haeyeon Kim, Minsu Kim, Joungho Kim, Jinkyoo Park
Collaborative Distillation Meta Learning for Simulation Intensive Hardware Design. CoRR (2022)
Jiachen Li, Chuanbo Hua, Jinkyoo Park, Hengbo Ma, Victoria Magdalena Dax, Mykel J. Kochenderfer
EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction. CoRR (2022)
Federico Berto, Stefano Massaroli, Michael Poli, Jinkyoo Park
Neural Solvers for Fast and Accurate Numerical Optimal Control. ICLR (2022)
Yohan Jung, Kyungwoo Song, Jinkyoo Park
Efficient Approximate Inference for Stationary Kernel on Frequency Domain. ICML (2022)
Yohan Jung, Jinkyoo Park
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior. CoRR (2022)
Hyunwook Kang, Taehwan Kwon, Jinkyoo Park, James R. Morrison
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning. NeurIPS (2022)
Heechang Ryu, Hayong Shin, Jinkyoo Park
REMAX: Relational Representation for Multi-Agent Exploration. AAMAS (2022)
Minsu Kim, Junyoung Park, Jinkyoo Park
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization. CoRR (2022)
Junyoung Park, Jinhyun Choo, Jinkyoo Park
Convergent Graph Solvers. ICLR (2022)
Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon
Transform Once: Efficient Operator Learning in Frequency Domain. NeurIPS (2022)
Yohan Jung, Jinkyoo Park
Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission. J. Comput. Graph. Stat. 31 (3) (2022)
Federico Berto, Stefano Massaroli, Michael Poli, Jinkyoo Park
Neural Solvers for Fast and Accurate Numerical Optimal Control. CoRR (2022)
Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon
Transform Once: Efficient Operator Learning in Frequency Domain. CoRR (2022)
Stefano Massaroli, Michael Poli, Stefano Peluchetti, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Learning Stochastic Optimal Policies via Gradient Descent. IEEE Control. Syst. Lett. 6 (2022)
Junyoung Park, Federico Berto, Arec L. Jamgochian, Mykel J. Kochenderfer, Jinkyoo Park
Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction. CoRR (2022)
Fangying Chen, Junyoung Park, Jinkyoo Park
A Hypergraph Convolutional Neural Network for Molecular Properties Prediction using Functional Group. CoRR (2021)
Junyoung Park, Jinhyun Choo, Jinkyoo Park
Convergent Graph Solvers. CoRR (2021)
Michael Poli, Stefano Massaroli, Luca Scimeca, Sanghyuk Chun, Seong Joon Oh, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions. NeurIPS (2021)
Jaehyuk Yi, Jinkyoo Park
Semi-supervised Bearing Fault Diagnosis with Adversarially-Trained Phase-Consistent Network. KDD (2021)
Heechang Ryu, Hayong Shin, Jinkyoo Park
Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning. CoRR (2021)
Junyoung Park, Jaehyeong Chun, Sang Hun Kim, Youngkook Kim, Jinkyoo Park
Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning. Int. J. Prod. Res. 59 (11) (2021)
Stefano Massaroli, Michael Poli, Stefano Peluchetti, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Learning Stochastic Optimal Policies via Gradient Descent. CoRR (2021)
Michael Poli, Stefano Massaroli, Clayton M. Rabideau, Junyoung Park, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
Continuous-Depth Neural Models for Dynamic Graph Prediction. CoRR (2021)
Heechang Ryu, Hayong Shin, Jinkyoo Park
Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning. AAMAS (2021)
Junyoung Park, Sanjar Bakhtiyar, Jinkyoo Park
ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning. CoRR (2021)
Michael Poli, Stefano Massaroli, Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg
Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions. CoRR (2021)
Stefano Massaroli, Michael Poli, Sho Sonoda, Taiji Suzuki, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Differentiable Multiple Shooting Layers. NeurIPS (2021)
Minsu Kim, Jinkyoo Park, Joungho Kim
Learning Collaborative Policies to Solve NP-hard Routing Problems. NeurIPS (2021)
Kyuree Ahn, Jinkyoo Park
Cooperative zone-based rebalancing of idle overhead hoist transportations using multi-agent reinforcement learning with graph representation learning. IISE Trans. 53 (10) (2021)
Stefano Massaroli, Michael Poli, Federico Califano, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Optimal Energy Shaping via Neural Approximators. CoRR (2021)
Stefano Massaroli, Michael Poli, Sho Sonoda, Taji Suzuki, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Differentiable Multiple Shooting Layers. CoRR (2021)
Minsu Kim, Jinkyoo Park, Joungho Kim
Learning Collaborative Policies to Solve NP-hard Routing Problems. CoRR (2021)
Junyoung Park, Jaehyeong Chun, Sang-Hun Kim, Youngkook Kim, Jinkyoo Park
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning. CoRR (2021)
Jaehyuk Yi, Jinkyoo Park
Hypergraph Convolutional Recurrent Neural Network. KDD (2020)
Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
Hypersolvers: Toward Fast Continuous-Depth Models. NeurIPS (2020)
Joonho Bae, Jinkyoo Park
Count-based change point detection via multi-output log-Gaussian Cox processes. IISE Trans. 52 (9) (2020)
Heechang Ryu, Hayong Shin, Jinkyoo Park
REMAX: Relational Representation for Multi-Agent Exploration. CoRR (2020)
Stefano Massaroli, Michael Poli, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Dissecting Neural ODEs. NeurIPS (2020)
Stefano Massaroli, Michael Poli, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Dissecting Neural ODEs. CoRR (2020)
Jaeyeon Jo, Jinkyoo Park
Demand-Side Management With Shared Energy Storage System in Smart Grid. IEEE Trans. Smart Grid 11 (5) (2020)
Stefano Massaroli, Michael Poli, Michelangelo Bin, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Stable Neural Flows. CoRR (2020)
Yohan Jung, Kyungwoo Song, Jinkyoo Park
Approximate Inference for Spectral Mixture Kernel. CoRR (2020)
Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
Hypersolvers: Toward Fast Continuous-Depth Models. CoRR (2020)
Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
TorchDyn: A Neural Differential Equations Library. CoRR (2020)
Woojin Cho, Youngrae Kim, Jinkyoo Park
Hierarchical Anomaly Detection Using a Multioutput Gaussian Process. IEEE Trans Autom. Sci. Eng. 17 (1) (2020)
Heechang Ryu, Hayong Shin, Jinkyoo Park
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network. AAAI (2020)
Yohan Jung, Jinkyoo Park
Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering. CoRR (2020)
Kyuree Ahn, Jinkyoo Park
Idle Vehicle Rebalancing in Semiconductor Fabrication Using Factorized Graph Neural Network Reinforcement Learning. CDC (2019)
Heechang Ryu, Hayong Shin, Jinkyoo Park
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network. CoRR (2019)
Hyunwook Kang, Aydar Mynbay, James R. Morrison, Jinkyoo Park
Scalable and transferable learning of algorithms via graph embedding for multi-robot reward collection. CoRR (2019)
Michael Poli, Stefano Massaroli, Junyoung Park, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
Graph Neural Ordinary Differential Equations. CoRR (2019)
Stefano Massaroli, Michael Poli, Federico Califano, Angela Faragasso, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Port-Hamiltonian Approach to Neural Network Training. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jinkyoo Park