"traveling salesman problem" Papers
11 papers found
Conference
Complexity Scaling Laws for Neural Models using Combinatorial Optimization
Lowell Weissman, Michael Krumdick, A. Abbott
NEURIPS 2025arXiv:2506.12932
Destroy and Repair Using Hyper-Graphs for Routing
Ke Li, Fei Liu, Zhenkun Wang et al.
AAAI 2025paperarXiv:2502.16170
9
citations
Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
Ni Zhang, Zhiguang Cao
NEURIPS 2025spotlightarXiv:2510.04792
1
citations
Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning
Yuanyao Chen, Rongsheng Chen, Fu Luo et al.
NEURIPS 2025arXiv:2506.02392
5
citations
Learning to Insert for Constructive Neural Vehicle Routing Solver
Fu Luo, Xi Lin, Mengyuan Zhong et al.
NEURIPS 2025arXiv:2505.13904
2
citations
Memory-Enhanced Neural Solvers for Routing Problems
Felix Chalumeau, Refiloe Shabe, Noah De Nicola et al.
NEURIPS 2025spotlightarXiv:2406.16424
4
citations
ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs
Jiale Ma, Wenzheng Pan, Yang Li et al.
NEURIPS 2025
Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improvement
Dominik Grimm, Jonathan Pirnay
ICLR 2025arXiv:2403.15180
28
citations
TSP-Mamba: The Travelling Salesman Problem Meets Mamba for Image Super-resolution and Beyond
Kun Zhou, Xinyu Lin, Jiangbo Lu
CVPR 2025
2
citations
Extending Test-Time Augmentation with Metamorphic Relations for Combinatorial Problems
Siwei Wei, Xudong Zhang, Zhiyang Zhou et al.
ICML 2024spotlight
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
Md Shamim Hussain, Mohammed Zaki, Dharmashankar Subramanian
ICML 2024arXiv:2402.04538
17
citations