Cover Image

LocalEscaper: A Weakly-supervised Framework with Regional Reconstruction for Scalable Neural TSP Solvers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wen, Junrui, Li, Yifei, Selman, Bart, He, Kun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Purity Law for Generalizable Neural TSP Solvers
by: Liu, Wenzhao, et al.
Published: (2025)

Hierarchical Neural Constructive Solver for Real-world TSP Scenarios
by: Goh, Yong Liang, et al.
Published: (2024)

COMPOL: A Unified Neural Operator Framework for Scalable Multi-Physics Simulations
by: Sun, Yifei, et al.
Published: (2025)

Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP
by: Lischka, Attila, et al.
Published: (2024)

A Unified Framework for Locality in Scalable MARL
by: Chakraborty, Sourav, et al.
Published: (2026)

IDEQ: an improved diffusion model for the TSP
by: Basson, Mickael, et al.
Published: (2024)

Learning-Based TSP-Solvers Tend to Be Overly Greedy
by: Li, Xiayang, et al.
Published: (2025)

Generative Latent Neural PDE Solver using Flow Matching
by: Li, Zijie, et al.
Published: (2025)

A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks
by: Mentzelopoulos, Georgios, et al.
Published: (2025)

Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems
by: Feng, Shaodi, et al.
Published: (2025)

A GREAT Architecture for Edge-Based Graph Problems Like TSP
by: Lischka, Attila, et al.
Published: (2024)

Out-of-Distribution Generalization for Neural Physics Solvers
by: Wei, Zhao, et al.
Published: (2026)

Memory-Enhanced Neural Solvers for Routing Problems
by: Chalumeau, Felix, et al.
Published: (2024)

Mixture Proportion Estimation and Weakly-supervised Kernel Test for Conditional Independence
by: Hirose, Yushi, et al.
Published: (2026)

Neural Dynamics-Informed Pre-trained Framework for Personalized Brain Functional Network Construction
by: Jiang, Hongjie, et al.
Published: (2026)

WebSTAR: Scalable Data Synthesis for Computer Use Agents with Step-Level Filtering
by: He, Yifei, et al.
Published: (2025)

GWT: Scalable Optimizer State Compression for Large Language Model Training
by: Wen, Ziqing, et al.
Published: (2025)

NPSolver: Neural Poisson Solver with Iterative Physics Supervision
by: Zeng, Bocheng, et al.
Published: (2026)

Mechanistic Interpretability for Neural TSP Solvers
by: Narad, Reuben, et al.
Published: (2025)

Mathematics of Neural Networks (Lecture Notes Graduate Course)
by: Smets, Bart M. N.
Published: (2024)

MILP-SAT-GNN: Yet Another Neural SAT Solver
by: Cardillo, Franco Alberto, et al.
Published: (2025)

Ambient Physics: Training Neural PDE Solvers with Partial Observations
by: Majid, Harris Abdul, et al.
Published: (2026)

Towards Efficient Constraint Handling in Neural Solvers for Routing Problems
by: Bi, Jieyi, et al.
Published: (2026)

A Unified Framework for Heterogeneous Semi-supervised Learning
by: Heidari, Marzi, et al.
Published: (2025)

A General Framework for Learning from Weak Supervision
by: Chen, Hao, et al.
Published: (2024)

OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling
by: Lu, Hongliang, et al.
Published: (2025)

Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture
by: Xiao, Yubin, et al.
Published: (2024)

Rethinking Constraint Awareness for Efficient State Embedding of Neural Routing Solver
by: Yu, Canhong, et al.
Published: (2026)

A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
by: Tarasov, Roman, et al.
Published: (2025)

Learning Under Laws: A Constraint-Projected Neural PDE Solver that Eliminates Hallucinations
by: Singha, Mainak
Published: (2025)

Neural Solver Selection for Combinatorial Optimization
by: Gao, Chengrui, et al.
Published: (2024)

Graph Neural Diffusion Networks for Semi-supervised Learning
by: Ye, Wei, et al.
Published: (2022)

Scalable Neural Network Kernels
by: Sehanobish, Arijit, et al.
Published: (2023)

Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
by: Lei, Haoyu, et al.
Published: (2025)

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers
by: Kapoor, Taniya, et al.
Published: (2025)

GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
by: Koupaï, Armand Kassaï, et al.
Published: (2024)

DeepRWCap: Neural-Guided Random-Walk Capacitance Solver for IC Design
by: Rodriguez, Hector R., et al.
Published: (2025)

NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks
by: Esteves, Bernardo, et al.
Published: (2024)

Tensor-Compressed and Fully-Quantized Training of Neural PDE Solvers
by: Lu, Jinming, et al.
Published: (2025)

A General Anchor-Based Framework for Scalable Fair Clustering
by: Wei, Shengfei, et al.
Published: (2025)