Transform once: Efficient operator learning in frequency domain M Poli, S Massaroli, F Berto, J Park, T Dao, C Ré, S Ermon Advances in Neural Information Processing Systems 35, 7947-7959, 2022 | 15 | 2022 |
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark F Berto, C Hua, J Park, L Luttmann, Y Ma, F Bu, J Wang, H Ye, M Kim, ... arXiv preprint arXiv:2306.17100, 2024 | 14* | 2024 |
Large Language Models as Hyper-Heuristics for Combinatorial Optimization H Ye, J Wang, Z Cao, F Berto, C Hua, H Kim, J Park, G Song arXiv preprint arXiv:2402.01145, 2024 | 9* | 2024 |
DevFormer: A Symmetric Transformer for Context-Aware Device Placement H Kim, M Kim, F Berto, J Kim, J Park Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 6 | 2023 |
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences M Kim, F Berto, S Ahn, J Park Advances in Neural Information Processing Systems, NeurIPS 2023, 2023 | 6 | 2023 |
Neural Solvers for Fast and Accurate Numerical Optimal Control F Berto, S Massaroli, M Poli, J Park International Conference on Learning Representations, ICLR 2022, 2022 | 6 | 2022 |
Meta-sysid: A meta-learning approach for simultaneous identification and prediction J Park, F Berto, A Jamgochian, MJ Kochenderfer, J Park arXiv preprint arXiv:2206.00694, 2022 | 4 | 2022 |
Learning efficient surrogate dynamic models with graph spline networks F Berto, C Hua, M Poli, S Massaroli, J Park Proceedings of the 37th International Conference on Neural Information …, 2023 | 3* | 2023 |
HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding H Tang, F Berto, Z Ma, C Hua, K Ahn, J Park AAMAS 2024, 2024 | 1 | 2024 |
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding H Tang, F Berto, J Park arXiv preprint arXiv:2403.07559, 2024 | | 2024 |
First-order Context-based Adaptation for Generalizing to New Dynamical Systems J Park, F Berto, A Jamgochian, M Kochenderfer, J Park | | 2022 |