Jinkyoo Park

Identifiers

• name variant Jinkyoo Park 0.60 · backfill

Papers (80)

1. Solving Integer Linear Programming with Parallel Tempering cs.LG · 2026 · author #3
2. Aligning Few-Step Generative Models by Amortizing Sample-based Variational Inference cs.LG · 2026 · author #12
3. Automated Kernel Discovery Towards Understanding High-dimensional Bayesian Optimization cs.LG · 2026 · author #5
4. Rethinking Positional Encoding for Neural Vehicle Routing cs.AI · 2026 · author #11
5. EvoNav: Evolutionary Reward Function Design for Robot Navigation with Large Language Models cs.RO · 2026 · author #7
6. Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning cs.RO · 2026 · author #8
7. Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning cs.LG · 2025 · author #3
8. Reinforced sequential Monte Carlo for amortised sampling cs.LG · 2025 · author #4
9. TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution cs.LG · 2025 · author #7
10. Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization cs.LG · 2025 · author #5
11. TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution cs.AI · 2025 · author #7
12. Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm cs.MA · 2025 · author #5
13. Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization cs.LG · 2025 · author #5
14. Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation cs.CV · 2025 · author #3
15. Neural Genetic Search in Discrete Spaces cs.NE · 2025 · author #4
16. CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems cs.MA · 2025 · author #6
17. MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks q-bio.BM · 2024 · author #4
18. Generative Flows on Synthetic Pathway for Drug Design q-bio.BM · 2024 · author #5
19. Improved Off-policy Reinforcement Learning in Biological Sequence Design cs.LG · 2024 · author #7
20. Adaptive teachers for amortized samplers cs.LG · 2024 · author #8
21. Learning Strategy Representation for Imitation Learning in Multi-Agent Games cs.MA · 2024 · author #4
22. An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems cs.LG · 2024 · author #9
23. Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization cs.LG · 2024 · author #4
24. Distributed Online Planning for Min-Max Problems in Networked Markov Games cs.MA · 2024 · author #2
25. GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning cs.AI · 2024 · author #4
26. Pessimistic Backward Policy for GFlowNets cs.LG · 2024 · author #4
27. Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding cs.MA · 2024 · author #3
28. Ant Colony Sampling with GFlowNets for Combinatorial Optimization cs.LG · 2024 · author #5
29. ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games cs.GT · 2024 · author #4
30. HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding cs.MA · 2024 · author #6
31. Decoupled Sequence and Structure Generation for Realistic Antibody Design q-bio.QM · 2024 · author #4
32. Genetic-guided GFlowNets for Sample Efficient Molecular Optimization q-bio.BM · 2024 · author #4
33. ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution cs.NE · 2024 · author #7
34. Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation cs.RO · 2024 · author #5
35. Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation cs.RO · 2023 · author #4
36. Learning Efficient Surrogate Dynamic Models with Graph Spline Networks math.NA · 2023 · author #5
37. Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems cs.NE · 2023 · author #3
38. Learning to Scale Logits for Temperature-Conditional GFlowNets cs.LG · 2023 · author #7
39. Local Search GFlowNets cs.LG · 2023 · author #7
40. Robust Driving Policy Learning with Guided Meta Reinforcement Learning cs.RO · 2023 · author #4
41. A Neural Separation Algorithm for the Rounded Capacity Inequalities cs.AI · 2023 · author #2
42. RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark cs.LG · 2023 · author #33
43. Computing Algorithm for an Equilibrium of the Generalized Stackelberg Game cs.GT · 2023 · author #3
44. Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity Context cs.LG · 2023 · author #5
45. Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization cs.LG · 2023 · author #4
46. Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences q-bio.QM · 2023 · author #4
47. Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization cs.LG · 2023 · author #4
48. Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning cs.LG · 2023 · author #4
49. Learning context-aware adaptive solvers to accelerate quadratic programming math.OC · 2022 · author #3
50. Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior stat.ML · 2022 · author #2
51. EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction cs.CV · 2022 · author #3
52. Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems cs.LG · 2022 · author #3
53. Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction cs.LG · 2022 · author #5
54. DevFormer: A Symmetric Transformer for Context-Aware Device Placement cs.LG · 2022 · author #5
55. Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization cs.LG · 2022 · author #3
56. Neural Solvers for Fast and Accurate Numerical Optimal Control math.OC · 2022 · author #4
57. Learning Collaborative Policies to Solve NP-hard Routing Problems cs.LG · 2021 · author #2
58. Continuous-Depth Neural Models for Dynamic Graph Prediction cs.LG · 2021 · author #7
59. Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions cs.LG · 2021 · author #8
60. Differentiable Multiple Shooting Layers cs.LG · 2021 · author #5
61. Learning Stochastic Optimal Policies via Gradient Descent cs.LG · 2021 · author #4
62. ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning cs.LG · 2021 · author #3
63. Convergent Graph Solvers cs.LG · 2021 · author #3
64. Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning cs.AI · 2021 · author #5
65. A Molecular Hyper-message Passing Network with Functional Group Information cs.CE · 2021 · author #3
66. Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning cs.LG · 2021 · author #3
67. Optimal Energy Shaping via Neural Approximators eess.SY · 2021 · author #4
68. TorchDyn: A Neural Differential Equations Library cs.LG · 2020 · author #5
69. REMAX: Relational Representation for Multi-Agent Exploration cs.LG · 2020 · author #3
70. Hypersolvers: Toward Fast Continuous-Depth Models cs.LG · 2020 · author #5
71. Approximate Inference for Spectral Mixture Kernel stat.ML · 2020 · author #3
72. Stable Neural Flows cs.LG · 2020 · author #4
73. Dissecting Neural ODEs cs.LG · 2020 · author #3
74. Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering cs.LG · 2020 · author #2
75. Graph Neural Ordinary Differential Equations cs.LG · 2019 · author #6
76. Multi-Agent Actor-Critic with Hierarchical Graph Attention Network cs.LG · 2019 · author #3
77. WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series cs.LG · 2019 · author #2
78. Port-Hamiltonian Approach to Neural Network Training cs.NE · 2019 · author #5
79. Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning cs.LG · 2019 · author #3
80. Multi-Agent Actor-Critic with Generative Cooperative Policy Network cs.MA · 2018 · author #3

Mentions

• 2508.05616 #7 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2306.17100 #33 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2502.16824 #5 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2502.10433 #4 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2410.04461 #7 · arxiv_oai · confidence 0.70 Jinkyoo Park
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• 2410.01432 #8 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2410.17270 #4 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2503.03796 #5 · arxiv_oai · confidence 0.70 Jinkyoo Park
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• 2502.11477 #3 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2409.19363 #4 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2501.02977 #6 · arxiv_oai · confidence 0.70 Jinkyoo Park
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• 2402.01145 #7 · arxiv_oai · confidence 0.70 Jinkyoo Park
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• 2306.01276 #4 · arxiv_oai · confidence 0.70 Jinkyoo Park
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• 2310.02823 #7 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2405.19570 #2 · arxiv_oai · confidence 0.70 Jinkyoo Park
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• 2306.17283 #2 · arxiv_oai · confidence 0.70 Jinkyoo Park
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• 1905.12204 #3 · arxiv_oai · confidence 0.70 Jinkyoo Park
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• 2206.00694 #5 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2203.08072 #4 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2008.05214 #3 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2106.01680 #3 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2106.01028 #3 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2110.13987 #2 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2106.11581 #7 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 1911.07532 #6 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2106.04165 #8 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2106.03885 #5 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2106.03780 #4 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2106.03051 #3 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2106.01086 #5 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2101.06890 #3 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2101.05537 #4 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2002.08071 #3 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2007.09601 #5 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2009.09346 #5 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2006.07036 #3 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2003.08063 #4 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2001.01917 #2 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 1909.12557 #3 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 1909.10801 #2 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 1909.02702 #5 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 1810.09206 #3 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2510.11711 #4 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2605.29366 #3 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2605.26552 #12 · arxiv_oai · confidence 0.70 Jinkyoo Park
• 2605.20249 #5 · arxiv_oai · confidence 0.70 Jinkyoo Park

Frequent Coauthors

• Minsu Kim 19 shared papers
• Federico Berto 14 shared papers
• Michael Poli 14 shared papers
• Junyoung Park 13 shared papers
• Stefano Massaroli 13 shared papers
• Taeyoung Yun 12 shared papers
• Atsushi Yamashita 11 shared papers
• Chuanbo Hua 11 shared papers
• Hajime Asama 11 shared papers
• Jiachen Li 10 shared papers
• Kanghoon Lee 10 shared papers
• Sanghyeok Choi 10 shared papers
• Hyeonah Kim 9 shared papers
• Sungsoo Ahn 9 shared papers
• Changhyun Kwon 6 shared papers
• Jaewoo Lee 6 shared papers
• Jiwoo Son 6 shared papers
• Mykel J. Kochenderfer 6 shared papers
• Zihan Ma 5 shared papers
• Emmanuel Bengio 4 shared papers