Saved in:
| Main Authors: | Zhang, Jialu, Li, Chu-Min, Cherif, Sami, Li, Shuolin, Zheng, Zhifei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.06216 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming
by: Li, Hongpei, et al.
Published: (2025)
by: Li, Hongpei, et al.
Published: (2025)
RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
by: Lee, Tae-Hoon, et al.
Published: (2024)
by: Lee, Tae-Hoon, et al.
Published: (2024)
Certifying Pareto-Optimality in Multi-Objective Maximum Satisfiability
by: Jabs, Christoph, et al.
Published: (2025)
by: Jabs, Christoph, et al.
Published: (2025)
Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming
by: Li, Siyuan, et al.
Published: (2025)
by: Li, Siyuan, et al.
Published: (2025)
torchmSAT: A GPU-Accelerated Approximation To The Maximum Satisfiability Problem
by: Hosny, Abdelrahman, et al.
Published: (2024)
by: Hosny, Abdelrahman, et al.
Published: (2024)
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
by: Li, Yixuan, et al.
Published: (2024)
by: Li, Yixuan, et al.
Published: (2024)
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
by: Huang, Taoan, et al.
Published: (2023)
by: Huang, Taoan, et al.
Published: (2023)
LinSATNet: The Positive Linear Satisfiability Neural Networks
by: Wang, Runzhong, et al.
Published: (2024)
by: Wang, Runzhong, et al.
Published: (2024)
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming
by: Ling, Haotian, et al.
Published: (2024)
by: Ling, Haotian, et al.
Published: (2024)
Satisfiability Modulo Theory Meets Inductive Logic Programming
by: Upreti, Nijesh, et al.
Published: (2025)
by: Upreti, Nijesh, et al.
Published: (2025)
Continuous Optimization for Satisfiability Modulo Theories on Linear Real Arithmetic
by: Cen, Yunuo, et al.
Published: (2026)
by: Cen, Yunuo, et al.
Published: (2026)
Exploiting Constraint Reasoning to Build Graphical Explanations for Mixed-Integer Linear Programming
by: Lera-Leri, Roger Xavier, et al.
Published: (2025)
by: Lera-Leri, Roger Xavier, et al.
Published: (2025)
Beyond Local Selection: Global Cut Selection for Enhanced Mixed-Integer Programming
by: Zeng, Shuli, et al.
Published: (2025)
by: Zeng, Shuli, et al.
Published: (2025)
Improvement of Optimization using Learning Based Models in Mixed Integer Linear Programming Tasks
by: Wang, Xiaoke, et al.
Published: (2025)
by: Wang, Xiaoke, et al.
Published: (2025)
Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning
by: Cai, Junyang, et al.
Published: (2024)
by: Cai, Junyang, et al.
Published: (2024)
Multi-task Representation Learning for Mixed Integer Linear Programming
by: Cai, Junyang, et al.
Published: (2024)
by: Cai, Junyang, et al.
Published: (2024)
The AI Definition and a Program Which Satisfies this Definition
by: Dobrev, Dimiter
Published: (2022)
by: Dobrev, Dimiter
Published: (2022)
Reliable Reasoning with Large Language Models via Preference-Based Maximum Satisfiability
by: Orvalho, Pedro, et al.
Published: (2026)
by: Orvalho, Pedro, et al.
Published: (2026)
ID-PaS+ : Identity-Aware Predict-and-Search for General Mixed-Integer Linear Programs
by: Cai, Junyang, et al.
Published: (2025)
by: Cai, Junyang, et al.
Published: (2025)
Local Search for Integer Quadratic Programming
by: He, Xiang, et al.
Published: (2024)
by: He, Xiang, et al.
Published: (2024)
LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs
by: Hou, Zhinan, et al.
Published: (2026)
by: Hou, Zhinan, et al.
Published: (2026)
Quantified Linear and Polynomial Arithmetic Satisfiability via Template-based Skolemization
by: Chatterjee, Krishnendu, et al.
Published: (2024)
by: Chatterjee, Krishnendu, et al.
Published: (2024)
IntSat: Integer Linear Programming by Conflict-Driven Constraint-Learning
by: Nieuwenhuis, Robert, et al.
Published: (2024)
by: Nieuwenhuis, Robert, et al.
Published: (2024)
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming
by: Wang, Jie, et al.
Published: (2024)
by: Wang, Jie, et al.
Published: (2024)
Certified MaxSAT Preprocessing
by: Ihalainen, Hannes, et al.
Published: (2024)
by: Ihalainen, Hannes, et al.
Published: (2024)
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference
by: Thayaparan, Mokanarangan, et al.
Published: (2024)
by: Thayaparan, Mokanarangan, et al.
Published: (2024)
Large Language Model Watermark Stealing With Mixed Integer Programming
by: Zhang, Zhaoxi, et al.
Published: (2024)
by: Zhang, Zhaoxi, et al.
Published: (2024)
Boolean Satisfiability via Imitation Learning
by: Zhang, Zewei, et al.
Published: (2025)
by: Zhang, Zewei, et al.
Published: (2025)
Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits
by: Li, Jinzhao, et al.
Published: (2025)
by: Li, Jinzhao, et al.
Published: (2025)
Correlated Mutations for Integer Programming
by: Shir, Ofer M., et al.
Published: (2025)
by: Shir, Ofer M., et al.
Published: (2025)
Causal Discovery by Interventions via Integer Programming
by: Elrefaey, Abdelmonem, et al.
Published: (2024)
by: Elrefaey, Abdelmonem, et al.
Published: (2024)
A General Neural Backbone for Mixed-Integer Linear Optimization via Dual Attention
by: Huang, Peixin, et al.
Published: (2026)
by: Huang, Peixin, et al.
Published: (2026)
SpikeVAEDiff: Neural Spike-based Natural Visual Scene Reconstruction via VD-VAE and Versatile Diffusion
by: Li, Jialu, et al.
Published: (2026)
by: Li, Jialu, et al.
Published: (2026)
An Exhaustive DPLL Approach to Model Counting over Integer Linear Constraints with Simplification Techniques
by: Zhang, Mingwei, et al.
Published: (2025)
by: Zhang, Mingwei, et al.
Published: (2025)
Neurosymbolic Language Reasoning as Satisfiability Modulo Theory
by: Oh, Hyunseok, et al.
Published: (2026)
by: Oh, Hyunseok, et al.
Published: (2026)
Deciding the Satisfiability of Combined Qualitative Constraint Networks
by: Cohen-Solal, Quentin, et al.
Published: (2026)
by: Cohen-Solal, Quentin, et al.
Published: (2026)
GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
by: Zeng, Hongtai, et al.
Published: (2024)
by: Zeng, Hongtai, et al.
Published: (2024)
Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers
by: Zheng, Jiongzhi, et al.
Published: (2024)
by: Zheng, Jiongzhi, et al.
Published: (2024)
Scalable Floating-Point Satisfiability via Staged Optimization
by: Zhang, Yuanzhuo, et al.
Published: (2026)
by: Zhang, Yuanzhuo, et al.
Published: (2026)
FLINGO -- Instilling ASP Expressiveness into Linear Integer Constraints
by: Fandinno, Jorge, et al.
Published: (2026)
by: Fandinno, Jorge, et al.
Published: (2026)
Similar Items
-
FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming
by: Li, Hongpei, et al.
Published: (2025) -
RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
by: Lee, Tae-Hoon, et al.
Published: (2024) -
Certifying Pareto-Optimality in Multi-Objective Maximum Satisfiability
by: Jabs, Christoph, et al.
Published: (2025) -
Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming
by: Li, Siyuan, et al.
Published: (2025) -
torchmSAT: A GPU-Accelerated Approximation To The Maximum Satisfiability Problem
by: Hosny, Abdelrahman, et al.
Published: (2024)