Neural Solvers

Latest papers 44

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  1. Neural Algorithmic Reasoning for Graph Saddle Point Problems

    Oct 5, 2026Samantha Chen, Jesse He, Coleman Clougherty +2Neural SolversNeural Network Optimization

  2. Physics-Informed but Not Physics-Consistent: Error Geometry and Subspace Projection for Neural AC Power Flow

    Oct 5, 2026Changhun Kim, Timon Conrad, Redwanul Karim +7Parametric Physics-Informed Neural NetworkNeural Solvers

  3. Depot-Closed Multi-Component Construction for Neural Vehicle Routing

    Sep 28, 2026Shinichiro Hamada, Hisashi KashimaVehicle Routing ProblemNeural Combinatorial Optimization

  4. GridSFM: A Foundation Model for Solving AC Optimal Power Flow

    Sep 24, 2026Luke Bhan, Weiwei Yang, Margaret Capetz +1Optimal Power FlowNeural Solvers

  5. A Hybrid Iterative Deep Ritz Method for Elliptic Interface Problems

    Sep 23, 2026Tianhao Hu, Bangti Jin, Fengru Wang +1Neural SolversVariational Formulation

  6. Exploring Solver-Level Warmstarting for Neural Network Verification

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

  7. Amortizing Physics-Informed Neural Solvers via Graph Hypernetworks

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

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

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

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

    Sep 14, 2026Thomas Gregov, Sebastian Rosier, Brandon Finley +2Neural SolversParametric Physics-Informed Neural Network

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

    Sep 14, 2026Wenzhou Xia, Qiaoqiao Ding, Jingwei Liang +1Differentiable Optimal TransportOptimal Transport Approach

  11. HyCO: A Hybrid Neural Solver for Combinatorial Optimization

    Sep 7, 2026Yuheng Li, Di Yang, Haipeng Chen +1Neural Combinatorial OptimizationNeural Solvers

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

    Aug 10, 2026Alban Puech, Matteo Mazzonelli, Tamara R. Govindasamy +19Optimal Power FlowPower Systems

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

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

  14. On the Effectiveness of Pretraining for Graph Combinatorial Optimization

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

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

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

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

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

  17. Power Flow Feasibility Assessment Using Variational Graph Autoencoders

    Jul 10, 2026Ferran Bohigas-Daranas, Hamid Latif-Martinez, Eduardo Prieto-Araujo +2Optimal Power FlowConditional Variational Autoencoder

  18. 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

  19. Error-Conditioned Neural Solvers

    Jun 25, 2026Haina Jiang, Liam Wang, Peng-Chen Chen +4Neural Partial Differential Equation SolversNeural Solvers

  20. 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 EquationsNonlinear Operators

  21. TurboMPC: Fast, Scalable, and Differentiable Model Predictive Control on the GPU

    Jun 23, 2026Gabriel Bravo-Palacios, Jianghan Zhang, Zachary Pestrikov +2Model Predictive ControlMujoco

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

    Jun 22, 2026Xiang LiSalesman ProblemNeural Solvers

  23. PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection

    Jun 9, 2026Fateme Mohammad Mohammadi, Hector Budman, Joshua L. PulsipherParametric Physics-Informed Neural NetworkInequality Constraints

  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 Equations

  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 SolversSolver Iterations

  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 Combinatorial OptimizationNeural Solvers

  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. All-atomistic Transferable Neural Potentials for Protein Solvation

    May 14, 2026Rishabh Dey, Salvina Sharipova, Konstantin PopovTransferable Implicit Solvent Machine Learning PotentialNeural Solvers

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

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

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

    May 8, 2026Mohamed Elrefaie, Dule Shu, Matthew Klenk +1CrashesAccident Source Term Evaluation Code

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

    May 7, 2026Jean-Loup Dupret, Davide Gallon, Patrick CheriditoNeural Partial Differential Equation SolversPartial Differential Equations

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

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

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

    Apr 23, 2026Mohammad Mahdi Abedi, David Pardo, Tariq AlkhalifahParametric Physics-Informed Neural NetworkNeural Solvers

  35. 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 SolversAlgebraic Multigrid

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

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

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

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

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

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

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

    Aug 29, 2025Bangti Jin, Longjun WuParametric Physics-Informed Neural NetworkStochastic Gradient Descent

  40. Accelerating Natural Gradient Descent for PINNs with Randomized Numerical Linear Algebra

    May 16, 2025Ivan Bioli, Carlo Marcati, Giancarlo SangalliSpectral PreconditioningNeural Solvers

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

    Date pendingMinseok Kim, Yeongjong Kim, Namkyeong Cho +1Hamilton-Jacobi ReachabilityModel-Based Reinforcement Learning