Neural Solvers

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Period ending 2026-09-21

5 new papers

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Period ending 2026-09-14

2 new papers

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Period ending 2026-09-07

1 new paper

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43 papers

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  1. Exploring Solver-Level Warmstarting for Neural Network Verification

    Sep 22, 2026Annelot Bosman, Minghao Liu, Marta Kwiatkowska +2Neural Network VerificationNeural Solvers

  2. Amortizing Physics-Informed Neural Solvers via Graph Hypernetworks

    Sep 17, 2026Cheng Jing, Abhishek Verma, Kallol Bera +2Conventional Physics-Informed Neural NetworksNeural Solvers

  3. Unified Heterogeneous Graph Neural Network solver for Power Flow, Optimal Power Flow and State Estimation

    Sep 15, 2026Ferran Bohigas-Daranas, Hamid Latif-Martínez, Eduardo Prieto-Araujo +2Ac Optimal Power FlowPower Systems

  4. Single-condition neural solvers encode transferable response spaces for parametric differential equations

    Sep 14, 2026Wenbo Cao, Weiwei ZhangNeural Partial Differential Equation SolversNeural Solvers

  5. Physics-enriched neural solvers for transient ice-flow simulation

    Sep 14, 2026Thomas Gregov, Sebastian Rosier, Brandon Finley +2Neural SolversSea-Surface Temperature Data

  6. Dual-guided Hierarchical Edge Localization for Large-scale Optimal Transport Across Dimensions

    Sep 14, 2026Wenzhou Xia, Qiaoqiao Ding, Jingwei Liang +1Optimal TransportNeural Solvers

  7. HyCO: A Hybrid Neural Solver for Combinatorial Optimization

    Sep 7, 2026Yuheng Li, Di Yang, Haipeng Chen +1Neural SolversCombinatorial Optimization

  8. Graph neural networks and the energetic cavity method for combinatorial optimization

    Sep 7, 2026Joe Bacchus George, George T. CantwellGraph Neural NetworksTwo-Dimensional Ising Model

  9. GENCO - A Unified Neural Solver Embedded in a Development Framework for Steady-State Grid Analysis

    Aug 10, 2026Alban Puech, Matteo Mazzonelli, Tamara R. Govindasamy +19Ac Optimal Power FlowNeural Solvers

  10. Bound-Founded Semantics for Answer Set Programming with Difference Constraints: Preliminary Report

    Jul 23, 2026Pedro Cabalar, Jorge Fandinno, Nicolas Rühling +3Answer Set ProgrammingInequality Constraints

  11. Anatomy of a Sound Neural Reasoner: One-Shot Amortization, First-Pass Poisoning, and Search Inertness in Clue-Rich Completion

    Jul 22, 2026Aleksey KomissarovPuzzleNeural Solvers

  12. On the Effectiveness of Pretraining for Graph Combinatorial Optimization

    Jul 21, 2026David Aguado, Daniel Fuertes, Carlos R. del-Blanco +1Combinatorial OptimizationSalesman Problem

  13. LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers

    Jul 20, 2026Yang Wang, Ya-Hui Jia, Wei-Neng Chen +3Vehicle Routing ProblemNeural Solvers

  14. Graph Coloring Approach to Solving Sudoku with Oscillatory Neural Networks

    Jul 17, 2026Filip Sabo, Aida Todri-SanialNeural SolversNeural Network

  15. Two Black Boxes, One Solver: Encoder Probing and Decoder Attribution for Neural Multi-Attribute VRP under Hard-Mask and Recourse Decoders

    Jul 5, 2026Sohaib AfifiVehicle Routing ProblemNeural Solvers

  16. CodeJeNN: A simple C++ neural network generator for physics applications

    Jul 2, 2026Jay Arcities, Pavel Popov, Eric J Ching +2C++Cuda

  17. Error-Conditioned Neural Solvers

    Jun 25, 2026Haina Jiang, Liam Wang, Peng-Chen Chen +4Neural SolversPartial Differential Equations

  18. A Zeroth-Order Deep Learning Method for Fully Nonlinear Parabolic Partial Differential Equations with Unknown Coefficients

    Jun 23, 2026Yanwei Jia, Du Ouyang, Huyên Pham +1Partial Differential EquationsAutomatic Differentiation

  19. GeoRouteNet: Geometry-Enhanced Non-Autoregressive Neural Solver for the Traveling Salesman Problem

    Jun 22, 2026Xiang LiSalesman ProblemNeural Solvers

  20. Learning to Place Guards by Reinforcement: A Geo-Free Neural Policy for the Vertex-Guard Art Gallery Problem

    Jun 19, 2026Domagoj Ševerdija, Jurica Maltar, Nathan Chappel +1Combinatorial OptimizationPolygons

  21. Leveraging Structural Constraints for Diffusion-based Neural TSP Solvers

    Jun 8, 2026Mickaël Basson, Philippe PreuxSalesman ProblemNeural Solvers

  22. Learning Empirically Admissible Neural Heuristics for Combinatorial Search

    Jun 3, 2026Siddharth SahayHeuristicsSearch Algorithms

  23. A Per-Component Diagnostic Protocol for Neural HJB-PIDE Solvers under Control-Dependent Lévy Jumps

    May 31, 2026R. DrissiNeural SolversHamilton-Jacobi Reachability

  24. A Novel Tensor Product-Based Neural Network for Solving Partial Differential Equations

    May 28, 2026Qihong Yang, Yangtao Deng, Qiaolin He +1Neural Partial Differential Equation SolversPartial Differential Equation Benchmarks

  25. LoRe: Adaptive Interaction-Evaluation Routing with Per-Step Interaction Budgets for Iterative Graph Solvers

    May 27, 2026Jintao Li, Yong-Yi Wang, Zheng-An Wang +1Neural SolversInference-Time

  26. SPACE: Unifying Symmetric and Asymmetric Routing Problems for Generalist Neural Solver

    May 23, 2026Rongsheng Chen, Changliang Zhou, Canhong Yu +4Vehicle Routing ProblemNeural Solvers

  27. WeCon: An Efficient Weight-Conditioned Neural Solver for Multi-Objective Combinatorial Optimization Problems

    May 20, 2026Xuan Wu, Jinbiao Chen, Yang Li +7Neural SolversCombinatorial Optimization

  28. COAgents: Multi-Agent Framework to Learn and Navigate Routing Problems Search Space

    May 20, 2026Oleksandr Yakovenko, Mahdi Mostajabdaveh, Cheikh Ahmed +4Vehicle Routing ProblemMulti-Agent Path Finding

  29. Scalable Solution of the Stochastic Multi-path Traveling Salesman Problem via Neural Networks

    May 14, 2026Xiaochen Chou, Ludovica Di Marco, Enza MessinaSalesman ProblemShortest Paths

  30. An Amortized Efficiency Threshold for Comparing Neural and Heuristic Solvers in Combinatorial Optimization

    May 14, 2026Sohaib AfifiNeural SolversCombinatorial Optimization

  31. All-atomistic Transferable Neural Potentials for Protein Solvation

    May 14, 2026Rishabh Dey, Salvina Sharipova, Konstantin PopovPrevious Machine-Learning-Based Implicit SolventNeural Solvers

  32. Rethinking Constraint Awareness for Efficient State Embedding of Neural Routing Solver

    May 11, 2026Canhong Yu, Changliang Zhou, Rongsheng Chen +2Vehicle Routing ProblemNeural Solvers

  33. CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation

    May 8, 2026Mohamed Elrefaie, Dule Shu, Matthew Klenk +1CrashesAccidents

  34. INEUS: Iterative Neural Solver for High-Dimensional PIDEs

    May 7, 2026Jean-Loup Dupret, Davide Gallon, Patrick CheriditoPartial Differential EquationsNeural Solvers

  35. RETO: A Rotary-Enhanced Transformer Operator for High-Fidelity Prediction of Automotive Aerodynamics

    Apr 30, 2026Bojun Zhang, Huiyu Yang, Yunpeng Wang +4AerodynamicsNeural Solvers

  36. A Green-Integral-Constrained Neural Solver with Stochastic Physics-Informed Regularization

    Apr 23, 2026Mohammad Mahdi Abedi, David Pardo, Tariq AlkhalifahConventional Physics-Informed Neural NetworksNeural Solvers

  37. CO2_2 sequestration hybrid solver using isogeometric alternating-directions and collocation-based robust variational physics informed neural networks (IGA-ADS-CRVPINN)

    Apr 22, 2026Askold Vilkha, Tomasz Służalec, Marcin Łoś +1Neural SolversNitrogen

  38. A Structure-Preserving Graph Neural Solver for Parametric Hyperbolic Conservation Laws

    Apr 17, 2026Jiamin Jiang, Shanglin Lv, Jingrun ChenNeural SolversSurrogate Models

  39. Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries

    Feb 4, 2026Hang Zhou, Haixu Wu, Haonan Shangguan +4Neural Partial Differential Equation SolversNeural Solvers

  40. HJCD-IK: GPU-Accelerated Inverse Kinematics through Batched Hybrid Jacobian Coordinate Descent

    Oct 8, 2025Cael Yasutake, Andrew H. Liu, Zachary Kingston +1Inverse KinematicsNeural Solvers

  41. Recurrent State Encoders for Efficient Neural Combinatorial Optimization

    Sep 5, 2025Tim Dernedde, Daniela Thyssens, Lars Schmidt-ThiemeCombinatorial OptimizationNeural Solvers

  42. Convergence of Stochastic Gradient Methods for Wide Two-Layer Physics-Informed Neural Networks for the Poisson Equation

    Aug 29, 2025Bangti Jin, Longjun WuConventional Physics-Informed Neural NetworksStochastic Gradient Descent

  43. Monotone Neural Policy Iteration for High-Dimensional First-Order Hamilton--Jacobi--Bellman Equations

    Date pendingMinseok Kim, Yeongjong Kim, Namkyeong Cho +1Hamilton-Jacobi ReachabilityNeural Solvers