@article{berto2024parco,title={{PARCO: Learning Parallel Autoregressive Policies for Efficient Multi-Agent Combinatorial Optimization}},author={Berto*, Federico and Hua*, Chuanbo and Luttmann*, Laurin and Son, Jiwoo and Park, Junyoung and Ahn, Kyuree and Kwon, Changhyun and Xie, Lin and Park, Jinkyoo},year={2024},journal={arXiv preprint arXiv:2409.03811},}
NeurIPS
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
Haoran Ye, Jiarui Wang, Zhiguang Cao, and 5 more authors
In Advances in Neural Information Processing Systems 2024
@inproceedings{ye2024reevo,title={ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution},author={Ye, Haoran and Wang, Jiarui and Cao, Zhiguang and Berto, Federico and Hua, Chuanbo and Kim, Haeyeon and Park, Jinkyoo and Song, Guojie},booktitle={Advances in Neural Information Processing Systems},year={2024},}
ICML WS Oral
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
Federico Berto*, Chuanbo Hua*, Nayeli Gast Zepeda*, and 5 more authors
In ICML 2024 Workshop on Foundation Models in the Wild (Oral) 2024
@inproceedings{berto2024routefinder,title={{RouteFinder}: Towards Foundation Models for Vehicle Routing Problems},author={Berto*, Federico and Hua*, Chuanbo and Zepeda*, Nayeli Gast and Hottung, Andr{\'e} and Wouda, Niels and Lan, Leon and Tierney, Kevin and Park, Jinkyoo},booktitle={ICML 2024 Workshop on Foundation Models in the Wild (Oral)},award={Oral},year={2024},url={https://openreview.net/forum?id=hCiaiZ6e4G},}
IROS
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Huijie Tang*, Federico Berto*, and Jinkyoo Park
In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024
@inproceedings{tang2024eph,title={Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding},author={Tang*, Huijie and Berto*, Federico and Park, Jinkyoo},booktitle={2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},organization={IEEE},year={2024},}
AAMAS EA
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Huijie Tang*, Federico Berto*, Zihan Ma, and 3 more authors
@inproceedings{tang2024himap,title={Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding},author={Tang*, Huijie and Berto*, Federico and Ma, Zihan and Hua, Chuanbo and Ahn, Kyuree and Park, Jinkyoo},booktitle={AAMAS},year={2024},}
2023
NeurIPS WS Oral
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
@inproceedings{berto2024rl4co,title={RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark},author={Berto*, Federico and Hua*, Chuanbo and Park*, Junyoung and Luttmann*, Laurin and Ma, Yining and Bu, Fanchen and Wang, Jiarui and Ye, Haoran and Kim, Minsu and Choi, Sanghyeok and Zepeda, Nayeli Gast and Hottung, Andr\'e and Zhou, Jianan and Bi, Jieyi and Hu, Yu and Liu, Fei and Kim, Hyeonah and Son, Jiwoo and Kim, Haeyeon and Angioni, Davide and Kool, Wouter and Cao, Zhiguang and Zhang, Jie and Shin, Kijung and Wu, Cathy and Ahn, Sungsoo and Song, Guojie and Kwon, Changhyun and Xie, Lin and Park, Jinkyoo},booktitle={NeurIPS 2023 Workshop: New Frontiers in Graph Learning (previous version)},year={2023},url={https://openreview.net/forum?id=YXSJxi8dOV},note={\url{https://github.com/ai4co/rl4co}},award={Oral},}
NeurIPS
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
@article{hua2023learning,title={Learning Efficient Surrogate Dynamic Models with Graph Spline Networks},author={Hua*, Chuanbo and Berto*, Federico and Poli, Michael and Massaroli, Stefano and Park, Jinkyoo},journal={Advances in Neural Information Processing Systems, NeurIPS},year={2023},}
NeurIPS
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
@inproceedings{kim2023bootstrapped,title={Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences},author={Kim, Minsu and Berto, Federico and Ahn, Sungsoo and Park, Jinkyoo},journal={Advances in Neural Information Processing Systems, NeurIPS},year={2023},}
ICML
DevFormer: a symmetric transformer for context-aware device placement
Haeyeon Kim*, Minsu Kim*, Federico Berto, and 2 more authors
In International Conference on Machine Learning 2023
@inproceedings{kim2023devformer,title={DevFormer: a symmetric transformer for context-aware device placement},author={Kim*, Haeyeon and Kim*, Minsu and Berto, Federico and Kim, Joungho and Park, Jinkyoo},booktitle={International Conference on Machine Learning},pages={16541--16566},year={2023},journal={International Conference on Machine Learning},organization={PMLR},}
2022
NeurIPS
Transform Once: Efficient Operator Learning in Frequency Domain
@article{poli2022transform,title={Transform Once: Efficient Operator Learning in Frequency Domain},author={Poli*, Michael and Massaroli*, Stefano and Berto*, Federico and Park, Jinkyoo and Dao, Tri and Re, Christopher and Ermon, Stefano},journal={Advances in Neural Information Processing Systems, NeurIPS},volume={35},year={2022},}
Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction
Junyoung Park, Federico Berto, Arec Jamgochian, and 2 more authors
@article{park2022metasysid,doi={10.48550/ARXIV.2206.00694},author={Park, Junyoung and Berto, Federico and Jamgochian, Arec and Kochenderfer, Mykel J. and Park, Jinkyoo},keywords={Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},title={Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction},journal={arXiv preprint arXiv:2206.00694},year={2022},copyright={arXiv.org perpetual, non-exclusive license}}
ICLR
Neural Solvers for Fast and Accurate Numerical Optimal Control
@article{berto2022neural,title={Neural Solvers for Fast and Accurate Numerical Optimal Control},author={Berto, Federico and Massaroli, Stefano and Poli, Michael and Park, Jinkyoo},journal={International Conference on Learning Representations},year={2022},url={https://openreview.net/forum?id=m8bypnj7Yl5},}