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ORCIDFederico Berto
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2020 – today
- 2024
[c6]Huijie Tang, Federico Berto, Zihan Ma, Chuanbo Hua, Kyuree Ahn, Jinkyoo Park:
HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding. AAMAS 2024: 2498-2500- [i10]Huijie Tang, Federico Berto, Zihan Ma, Chuanbo Hua
, Kyuree Ahn, Jinkyoo Park:
HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding. CoRR abs/2402.15546 (2024) - [i9]Huijie Tang, Federico Berto, Jinkyoo Park:
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding. CoRR abs/2403.07559 (2024) - [i8]Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda, André Hottung, Niels A. Wouda, Leon Lan, Kevin Tierney, Jinkyoo Park:
RouteFinder: Towards Foundation Models for Vehicle Routing Problems. CoRR abs/2406.15007 (2024) - [i7]Federico Berto, Chuanbo Hua, Laurin Luttmann, Jiwoo Son, Junyoung Park, Kyuree Ahn, Changhyun Kwon, Lin Xie, Jinkyoo Park:
PARCO: Learning Parallel Autoregressive Policies for Efficient Multi-Agent Combinatorial Optimization. CoRR abs/2409.03811 (2024) - 2023
- [c5]Haeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park:
DevFormer: A Symmetric Transformer for Context-Aware Device Placement. ICML 2023: 16541-16566 - [c4]Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park:
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks. NeurIPS 2023 - [c3]Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park:
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. NeurIPS 2023 - [i6]Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park:
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. CoRR abs/2306.03111 (2023) - [i5]Federico Berto, Chuanbo Hua, Junyoung Park, Minsu Kim, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Joungho Kim, Jinkyoo Park:
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. CoRR abs/2306.17100 (2023) - [i4]Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park:
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks. CoRR abs/2310.16397 (2023) - 2022
- [c2]Federico Berto, Stefano Massaroli, Michael Poli, Jinkyoo Park:
Neural Solvers for Fast and Accurate Numerical Optimal Control. ICLR 2022 - [c1]Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon:
Transform Once: Efficient Operator Learning in Frequency Domain. NeurIPS 2022 - [i3]Federico Berto, Stefano Massaroli, Michael Poli, Jinkyoo Park:
Neural Solvers for Fast and Accurate Numerical Optimal Control. CoRR abs/2203.08072 (2022) - [i2]Junyoung Park, Federico Berto, Arec L. Jamgochian, Mykel J. Kochenderfer, Jinkyoo Park:
Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction. CoRR abs/2206.00694 (2022) - [i1]Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon:
Transform Once: Efficient Operator Learning in Frequency Domain. CoRR abs/2211.14453 (2022)
Coauthor Index
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