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

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

Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction. - Junyoung Park 002; Federico Berto; Arec L. Jamgochian; Mykel J. Kochenderfer; Jinkyoo Park (CoRR, 2022)

DevFormer: A Symmetric Transformer for Context-Aware Device Placement. - Haeyeon Kim; Minsu Kim 004; Federico Berto; Joungho Kim; Jinkyoo Park (ICML, 2023)

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

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. - Minsu Kim 004; Federico Berto; Sungsoo Ahn; Jinkyoo Park (NeurIPS, 2023)

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. - Federico Berto; Chuanbo Hua; Junyoung Park 002; Minsu Kim 004; Hyeonah Kim; Jiwoo Son; Haeyeon Kim; Joungho Kim; Jinkyoo Park (CoRR, 2023)

HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding. - Huijie Tang; Federico Berto; Zihan Ma 003; Chuanbo Hua; Kyuree Ahn; Jinkyoo Park (AAMAS, 2024)

Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding. - Huijie Tang; Federico Berto; Jinkyoo Park (IROS, 2024)

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution. - Haoran Ye; Jiarui Wang 002; Zhiguang Cao; Federico Berto; Chuanbo Hua; Haeyeon Kim; Jinkyoo Park; Guojie Song (NeurIPS, 2024)

RouteFinder: Towards Foundation Models for Vehicle Routing Problems. - Federico Berto; Chuanbo Hua; Nayeli Gast Zepeda; André Hottung; Niels A. Wouda; Leon Lan; Kevin Tierney; Jinkyoo Park (CoRR, 2024)

PARCO: Learning Parallel Autoregressive Policies for Efficient Multi-Agent Combinatorial Optimization. - Federico Berto; Chuanbo Hua; Laurin Luttmann; Jiwoo Son; Junyoung Park 002; Kyuree Ahn; Changhyun Kwon 001; Lin Xie; Jinkyoo Park (CoRR, 2024)

CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems. - Chuanbo Hua; Federico Berto; Jiwoo Son; Seunghyun Kang; Changhyun Kwon 001; Jinkyoo Park (AAMAS, 2025)

Neural Combinatorial Optimization for Real-World Routing. - Jiwoo Son; Zhikai Zhao; Federico Berto; Chuanbo Hua; Changhyun Kwon 001; Jinkyoo Park (CoRR, 2025)

TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution. - Zhikai Zhao; Chuanbo Hua; Federico Berto; Kanghoon Lee; Zihan Ma 003; Jiachen Li; Jinkyoo Park (CoRR, 2025)

USPR: Learning a Unified Solver for Profiled Routing. - Chuanbo Hua; Federico Berto; Zhikai Zhao; Jiwoo Son; Changhyun Kwon 001; Jinkyoo Park (CoRR, 2025)

TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution. - Zhikai Zhao; Chuanbo Hua; Federico Berto; Kanghoon Lee; Zihan Ma 003; Jiachen Li; Jinkyoo Park (CoRR, 2025)