Federico Berto

According to our database, Federico Berto authored at least 17 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution.

Zhikai Zhao, Chuanbo Hua, Federico Berto, Kanghoon Lee, Zihan Ma, Jiachen Li, Jinkyoo Park

CoRR, August, 2025

USPR: Learning a Unified Solver for Profiled Routing.

Chuanbo Hua, Federico Berto, Zhikai Zhao, Jiwoo Son, Changhyun Kwon, Jinkyoo Park

CoRR, May, 2025

TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution.

Zhikai Zhao, Chuanbo Hua, Federico Berto, Kanghoon Lee, Zihan Ma, Jiachen Li, Jinkyoo Park

CoRR, May, 2025

Neural Combinatorial Optimization for Real-World Routing.

Jiwoo Son, Zhikai Zhao, Federico Berto, Chuanbo Hua, Changhyun Kwon, Jinkyoo Park

CoRR, March, 2025

CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems.

Chuanbo Hua, Federico Berto, Jiwoo Son, Seunghyun Kang, Changhyun Kwon, Jinkyoo Park

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

PARCO: Learning Parallel Autoregressive Policies for Efficient Multi-Agent Combinatorial Optimization.

Federico Berto, Chuanbo Hua, Laurin Luttmann, Jiwoo Son, Junyoung Park, Kyuree Ahn, Changhyun Kwon, Lin Xie, Jinkyoo Park

CoRR, 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

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution.

Haoran Ye, Jiarui Wang, Zhiguang Cao, Federico Berto, Chuanbo Hua, Haeyeon Kim, Jinkyoo Park, Guojie Song

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding.

Huijie Tang, Federico Berto, Jinkyoo Park

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding.

Huijie Tang, Federico Berto, Zihan Ma, Chuanbo Hua, Kyuree Ahn, Jinkyoo Park

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.

Federico Berto, Chuanbo Hua, Junyoung Park, Minsu Kim, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Joungho Kim, Jinkyoo Park

CoRR, 2023

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences.

Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Efficient Surrogate Dynamic Models with Graph Spline Networks.

Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DevFormer: A Symmetric Transformer for Context-Aware Device Placement.

Haeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park

Proceedings of the International Conference on Machine Learning, 2023

2022

Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction.

Junyoung Park, Federico Berto, Arec L. Jamgochian, Mykel J. Kochenderfer, Jinkyoo Park

CoRR, 2022

Transform Once: Efficient Operator Learning in Frequency Domain.

Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Solvers for Fast and Accurate Numerical Optimal Control.

Federico Berto, Stefano Massaroli, Michael Poli, Jinkyoo Park

Proceedings of the Tenth International Conference on Learning Representations, 2022