Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches
Fuente:
arXiv
Saved in:
| Main Authors: | Boisvert, Léo, Verhaeghe, Hélène, Cappart, Quentin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver
by: Marty, Tom, et al.
Published: (2023)
by: Marty, Tom, et al.
Published: (2023)
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?
by: Drouin, Alexandre, et al.
Published: (2024)
by: Drouin, Alexandre, et al.
Published: (2024)
Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain
by: Boisvert, Léo, et al.
Published: (2025)
by: Boisvert, Léo, et al.
Published: (2025)
Self-Predictive Representations for Combinatorial Generalization in Behavioral Cloning
by: Lawson, Daniel, et al.
Published: (2025)
by: Lawson, Daniel, et al.
Published: (2025)
Conformal Prediction for Dose-Response Models with Continuous Treatments
by: Verhaeghe, Jarne, et al.
Published: (2024)
by: Verhaeghe, Jarne, et al.
Published: (2024)
Towards Effective Theory of LLMs: A Representation Learning Approach
by: Ustaomeroglu, Muhammed, et al.
Published: (2026)
by: Ustaomeroglu, Muhammed, et al.
Published: (2026)
Permutation Picture of Graph Combinatorial Optimization Problems
by: Min, Yimeng
Published: (2024)
by: Min, Yimeng
Published: (2024)
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks
by: Boisvert, Léo, et al.
Published: (2024)
by: Boisvert, Léo, et al.
Published: (2024)
MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization
by: Garmendia, Andoni I., et al.
Published: (2024)
by: Garmendia, Andoni I., et al.
Published: (2024)
A Contextual Combinatorial Bandit Approach to Negotiation
by: Li, Yexin, et al.
Published: (2024)
by: Li, Yexin, et al.
Published: (2024)
Towards a Learning Theory of Representation Alignment
by: Insulla, Francesco, et al.
Published: (2025)
by: Insulla, Francesco, et al.
Published: (2025)
Exploring Task Unification in Graph Representation Learning via Generative Approach
by: Hu, Yulan, et al.
Published: (2024)
by: Hu, Yulan, et al.
Published: (2024)
RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization
by: Son, Jiwoo, et al.
Published: (2025)
by: Son, Jiwoo, et al.
Published: (2025)
Graph Q-Learning for Combinatorial Optimization
by: Dax, Victoria M., et al.
Published: (2024)
by: Dax, Victoria M., et al.
Published: (2024)
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning
by: Hu, Yulan, et al.
Published: (2023)
by: Hu, Yulan, et al.
Published: (2023)
NCO4CVRP: Neural Combinatorial Optimization for the Capacitated Vehicle Routing Problem
by: Dihan, Mahir Labib, et al.
Published: (2026)
by: Dihan, Mahir Labib, et al.
Published: (2026)
The BrowserGym Ecosystem for Web Agent Research
by: De Chezelles, Thibault Le Sellier, et al.
Published: (2024)
by: De Chezelles, Thibault Le Sellier, et al.
Published: (2024)
Towards Interpretable Deep Generative Models via Causal Representation Learning
by: Moran, Gemma E., et al.
Published: (2025)
by: Moran, Gemma E., et al.
Published: (2025)
ARC: Leveraging Compositional Representations for Cross-Problem Learning on VRPs
by: Jeong, Han-Seul, et al.
Published: (2025)
by: Jeong, Han-Seul, et al.
Published: (2025)
Combinatorial Creativity: A New Frontier in Generalization Abilities
by: Schapiro, Samuel, et al.
Published: (2025)
by: Schapiro, Samuel, et al.
Published: (2025)
Network-Aware Bilinear Tokenization for Brain Functional Connectivity Representation Learning
by: Milecki, Leo, et al.
Published: (2026)
by: Milecki, Leo, et al.
Published: (2026)
Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
by: Lei, Haoyu, et al.
Published: (2025)
by: Lei, Haoyu, et al.
Published: (2025)
Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem
by: Wu, Xuan, et al.
Published: (2025)
by: Wu, Xuan, et al.
Published: (2025)
Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning
by: Spitzer, Philipp, et al.
Published: (2025)
by: Spitzer, Philipp, et al.
Published: (2025)
Toward Temporal Causal Representation Learning with Tensor Decomposition
by: Chen, Jianhong, et al.
Published: (2025)
by: Chen, Jianhong, et al.
Published: (2025)
Self-Improved Learning for Scalable Neural Combinatorial Optimization
by: Luo, Fu, et al.
Published: (2024)
by: Luo, Fu, et al.
Published: (2024)
Divide and Learn: Multi-Objective Combinatorial Optimization at Scale
by: Singh, Esha, et al.
Published: (2026)
by: Singh, Esha, et al.
Published: (2026)
Structure As Search: Unsupervised Permutation Learning for Combinatorial Optimization
by: Min, Yimeng, et al.
Published: (2025)
by: Min, Yimeng, et al.
Published: (2025)
A Combinatorial Theory of Dropout: Subnetworks, Graph Geometry, and Generalization
by: Dhayalkar, Sahil Rajesh
Published: (2025)
by: Dhayalkar, Sahil Rajesh
Published: (2025)
ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial Optimization
by: Fang, Han, et al.
Published: (2025)
by: Fang, Han, et al.
Published: (2025)
SAINT: Attention-Based Policies for Discrete Combinatorial Action Spaces
by: Landers, Matthew, et al.
Published: (2025)
by: Landers, Matthew, et al.
Published: (2025)
Disentangled Generative Graph Representation Learning
by: Hu, Xinyue, et al.
Published: (2024)
by: Hu, Xinyue, et al.
Published: (2024)
DeepGate3: Towards Scalable Circuit Representation Learning
by: Shi, Zhengyuan, et al.
Published: (2024)
by: Shi, Zhengyuan, et al.
Published: (2024)
Toward Enhancing Representation Learning in Federated Multi-Task Settings
by: Setayesh, Mehdi, et al.
Published: (2026)
by: Setayesh, Mehdi, et al.
Published: (2026)
Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts
by: Miao, Changhao, et al.
Published: (2026)
by: Miao, Changhao, et al.
Published: (2026)
Towards Bound Consistency for the No-Overlap Constraint Using MDDs
by: Guichard, Amaury, et al.
Published: (2026)
by: Guichard, Amaury, et al.
Published: (2026)
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits
by: Shimizu, Tatsuhiro, et al.
Published: (2024)
by: Shimizu, Tatsuhiro, et al.
Published: (2024)
Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning
by: Feng, Xinsong, et al.
Published: (2025)
by: Feng, Xinsong, et al.
Published: (2025)
A Benchmark for Maximum Cut: Towards Standardization of the Evaluation of Learned Heuristics for Combinatorial Optimization
by: Nath, Ankur, et al.
Published: (2024)
by: Nath, Ankur, et al.
Published: (2024)
Representation Collapsing Problems in Vector Quantization
by: Zhao, Wenhao, et al.
Published: (2024)
by: Zhao, Wenhao, et al.
Published: (2024)
Similar Items
-
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver
by: Marty, Tom, et al.
Published: (2023) -
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?
by: Drouin, Alexandre, et al.
Published: (2024) -
Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain
by: Boisvert, Léo, et al.
Published: (2025) -
Self-Predictive Representations for Combinatorial Generalization in Behavioral Cloning
by: Lawson, Daniel, et al.
Published: (2025) -
Conformal Prediction for Dose-Response Models with Continuous Treatments
by: Verhaeghe, Jarne, et al.
Published: (2024)