Copertina

UniHetCO: A Unified Heterogeneous Representation for Multi-Problem Learning in Unsupervised Neural Combinatorial Optimization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Nguyen, Kien X., Safro, Ilya
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach
di: Nguyen, Kien X., et al.
Pubblicazione: (2025)

Graph-Conditioned Meta-Optimizer for QAOA Parameter Generation on Multiple Problem Classes
di: Nguyen, Kien X., et al.
Pubblicazione: (2026)

UniCO: Towards a Unified Model for Combinatorial Optimization Problems
di: Zong, Zefang, et al.
Pubblicazione: (2025)

Scaling Quantum Optimization for Unit Commitment via Pauli Correlation Encoding
di: Nguyen, Kien X., et al.
Pubblicazione: (2026)

Q3SAT-GPT: A Generative Model for Discovering Quantum Circuits for the 3-SAT Problem
di: Ugale, Pratim, et al.
Pubblicazione: (2026)

Neural Architecture Search Algorithms for Quantum Autoencoders
di: Kulshrestha, Ankit, et al.
Pubblicazione: (2025)

QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learning
di: Nguyen, Kien X., et al.
Pubblicazione: (2026)

Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem
di: Wu, Xuan, et al.
Pubblicazione: (2025)

A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
di: Sanokowski, Sebastian, et al.
Pubblicazione: (2024)

Unsupervised Diffusion Solver for Combinatorial Optimization via Combinatorial Adjoint Matching
di: Feng, Shengyu, et al.
Pubblicazione: (2026)

Structure As Search: Unsupervised Permutation Learning for Combinatorial Optimization
di: Min, Yimeng, et al.
Pubblicazione: (2025)

Test-Time Adaptation for Unsupervised Combinatorial Optimization
di: Liao, Yiqiao, et al.
Pubblicazione: (2026)

UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
di: Feng, Shikun, et al.
Pubblicazione: (2024)

WeCon: An Efficient Weight-Conditioned Neural Solver for Multi-Objective Combinatorial Optimization Problems
di: Wu, Xuan, et al.
Pubblicazione: (2026)

Preference Optimization for Combinatorial Optimization Problems
di: Pan, Mingjun, et al.
Pubblicazione: (2025)

A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
di: Banerjee, Chayan, et al.
Pubblicazione: (2023)

HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses
di: Deng, Zhichao, et al.
Pubblicazione: (2025)

Multi-Action Self-Improvement for Neural Combinatorial Optimization
di: Luttmann, Laurin, et al.
Pubblicazione: (2025)

QAOA Parameter Transferability for Maximum Independent Set using Graph Attention Networks
di: Xu, Hanjing, et al.
Pubblicazione: (2025)

HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
di: Ma, Yihong, et al.
Pubblicazione: (2023)

UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs
di: Xu, Yuanyuan, et al.
Pubblicazione: (2025)

Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning
di: Chen, Yuanyao, et al.
Pubblicazione: (2025)

Efficient Training of Multi-task Neural Solver for Combinatorial Optimization
di: Wang, Chenguang, et al.
Pubblicazione: (2023)

Unsupervised Training of Diffusion Models for Feasible Solution Generation in Neural Combinatorial Optimization
di: Hong, Seong-Hyun, et al.
Pubblicazione: (2024)

HetCCL: Accelerating LLM Training with Heterogeneous GPUs
di: Kim, Heehoon, et al.
Pubblicazione: (2026)

Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
di: Lei, Kun, et al.
Pubblicazione: (2023)

Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
di: Darvariu, Victor-Alexandru, et al.
Pubblicazione: (2024)

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs
di: Bai, Sen, et al.
Pubblicazione: (2025)

Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on the Traveling Salesman Problem
di: Ohigashi, Hironori, et al.
Pubblicazione: (2026)

Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees
di: Luo, Fu, et al.
Pubblicazione: (2025)

UniFluids: Unified Neural Operator Learning with Conditional Flow-matching
di: Li, Haosen, et al.
Pubblicazione: (2026)

Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches
di: Boisvert, Léo, et al.
Pubblicazione: (2024)

Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
di: Chen, Zhisheng, et al.
Pubblicazione: (2025)

GeoUni: A Unified Model for Generating Geometry Diagrams, Problems and Problem Solutions
di: Cheng, Jo-Ku, et al.
Pubblicazione: (2025)

Multi-Play Combinatorial Semi-Bandit Problem
di: Nakamura, Shintaro, et al.
Pubblicazione: (2025)

NCO4CVRP: Neural Combinatorial Optimization for the Capacitated Vehicle Routing Problem
di: Dihan, Mahir Labib, et al.
Pubblicazione: (2026)

Self-Improved Learning for Scalable Neural Combinatorial Optimization
di: Luo, Fu, et al.
Pubblicazione: (2024)

HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks
di: Mao, Xuqi, et al.
Pubblicazione: (2025)

HetCCL: Enabling Collective Communication For Mixed-Vendor Heterogeneous Clusters
di: Wang, Yuejie, et al.
Pubblicazione: (2026)

UniMat: Unifying Materials Embeddings through Multi-modal Learning
di: Ock, Janghoon, et al.
Pubblicazione: (2024)