PPaperPicks

Jinkyoo Park

31 papers at tracked venues · 23 at CORE A* · active 2024–2026

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Venues

NeurIPS ×6ICML ×5AAAI ×4ICLR ×4AAMAS ×3IROS ×3SIGKDD ×3AISTATS ×1CVPR ×1WSDM ×1

Frequent coauthors

Taeyoung Yun
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Minsu Kim
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Hyeonah Kim
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Chuanbo Hua
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Shiqi Lei
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Federico Berto
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Huijie Tang
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Zhikai Zhao
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Seonghwan Seo
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Hyeonjun Kim
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Nayoung Kim
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Yujin Shin
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Papers

  1. TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
    AAAI 2026 ·
    Zhikai Zhao
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  2. USPR: Learning a Unified Solver for Profiled Routing
    AAAI 2026 ·
    Chuanbo Hua
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  3. Urban Traffic Network Layout Optimization with Guided Discrete Diffusion Models
    WSDM 2026 ·
    Taeyoung Yun
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  4. Adaptive teachers for amortized samplers
    ICLR 2025 ·
    Minsu Kim
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  5. Ant Colony Sampling with GFlowNets for Combinatorial Optimization
    AISTATS 2025 ·
    Minsu Kim
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  6. CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
    AAMAS 2025 ·
    Chuanbo Hua
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  7. Generative Flows on Synthetic Pathway for Drug Design
    ICLR 2025 ·
    Seonghwan Seo
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  8. Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm
    IROS 2025 ·
    Hyeonjun Kim
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  9. Improved Off-policy Reinforcement Learning in Biological Sequence Design
    ICML 2025 ·
    Hyeonah Kim
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  10. Learning Strategy Representation for Imitation Learning in Multi-Agent Games
    AAAI 2025 ·
    Shiqi Lei
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  11. Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
    CVPR 2025 ·
    Taeyoung Yun
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  12. MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks
    ICLR 2025 ·
    Nayoung Kim
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  13. Neural Genetic Search in Discrete Spaces
    ICML 2025 ·
    Hyeonah Kim
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  14. PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
    NeurIPS 2025 ·
    Federico Berto
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  15. Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization
    ICML 2025 ·
    Taeyoung Yun
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  16. RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
    SIGKDD 2025 ·
    Federico Berto
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  17. Wind Farm Layout Optimization with Diffusion Models
    SIGKDD 2025 ·
    Yujin Shin
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  18. An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems
    SIGKDD 2024 ·
    Taeyoung Yun
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  19. ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
    AAMAS 2024 ·
    Shiqi Lei
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  20. Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
    IROS 2024 ·
    Huijie Tang
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  21. Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context
    AAAI 2024 ·
    Jiwoo Son
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  22. GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
    NeurIPS 2024 ·
    Jaewoo Lee
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  23. Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
    NeurIPS 2024 ·
    Hyeonah Kim
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  24. Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
    NeurIPS 2024 ·
    Taeyoung Yun
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  25. HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding
    AAMAS 2024 ·
    Huijie Tang
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  26. Learning to Scale Logits for Temperature-Conditional GFlowNets
    ICML 2024 ·
    Minsu Kim
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  27. Local Search GFlowNets
    ICLR 2024 ·
    Minsu Kim
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  28. NLNS-MASPF for solving Multi-Agent scheduling and Path-Finding
    IROS 2024 ·
    Heemang Park
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  29. Pessimistic Backward Policy for GFlowNets
    NeurIPS 2024 ·
    Hyosoon Jang
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  30. ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
    NeurIPS 2024 ·
    Haoran Ye
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  31. Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
    ICML 2024 ·
    Hyeonah Kim
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