Neural Operators

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  1. Advectra: Asymmetric Latent Transport for Non-Stationary Physics

    Oct 4, 2026Nodens Koren, Thomas Hofmann, Georgios KissasOne-Dimensional Viscous Burgers EquationNeural Operators

  2. Disentangling Computation in Multi-Task Neural Networks with the Green's Operator

    Sep 30, 2026James HazeldenRecurrent Neural NetworksNeural Operators

  3. PTNO: Training Neural Operators with Noisy Monte Carlo Estimates for Particle Transport Problems

    Sep 30, 2026Yubo Cao, Xi Deng, Mengqi Xia +3Neural OperatorsLatent Transport

  4. Cluster Attention Neural Operators for Solving Parametric Partial Differential Equations

    Sep 30, 2026Ming Zhong, Antonio Colanera, Gianluigi Rozza +1Neural OperatorsPartial Differential Equations

  5. Do Better Scores Mean Better Physics? Physics-Grounded Explanations for Sim2Real Neural Operators

    Sep 30, 2026Somyajit Chakraborty, Xizhong ChenPhysics SimulationNeural Operators

  6. Scale-Split Neural Operator for Memory- and Data-Efficient 3D Turbulence Prediction

    Sep 30, 2026Shaoxiang Qin, Yucheng Zhao, Zongyi Li +2Turbulent FlowsNeural Operators

  7. Does Text Steer Neural PDE Surrogates? A Controlled Diagnostic with OperatorCLIP

    Sep 29, 2026Aadi Dash, Lennon J. Shikhman, Michael GalarnykNeural OperatorsText-Conditioned Diffusion Model

  8. Adapting neural operators for mechanics decisions under changing operating conditions

    Sep 27, 2026Prashant K. Jha, Koffi Enakoutsa, Ian Galloway +1Neural OperatorsMagnetic Tunnel Junction

  9. Dynamic Kuramoto-Hodge Operators for PDEs on Complex Geometries and Topologies

    Sep 27, 2026Xiang Li, Yue SongNeural OperatorsPartial Differential Equations

  10. MENO: Memory-Efficient Neural Operator

    Sep 23, 2026Shengyang Xu, Weijun Zhang, Jun Hu +1Neural Partial Differential Equation SolversNeural Operators

  11. Enhancing Transformer Representations of Symbolic ODE Expressions

    Sep 21, 2026Xiyue Fan, Adam Prugel-Bennett, Stuart E. MiddletonOrdinary Differential EquationsSymbol-

  12. Cost-Accuracy Trade-offs: Neural Operator vs Classical Numerical Solver

    Sep 21, 2026Daniel Zhengyu Huang, Andrew M. StuartNeural OperatorsClassical Numerical Solver

  13. Real-time Generalizable Heart Valve Mechanics for Clinical Disease Assessment via a Physics-Conditioned Neural Operator

    Sep 20, 2026Shawn Koohy, Wensi Wu, Matthew A Jolley +1Neural OperatorsReal-Time Systems

  14. Predicting Out-of-Distribution Generalization of Neural Operators via Observable Spectral Error Decomposition

    Sep 20, 2026Hang-Cheng Dong, Pengcheng ChengNeural OperatorsOut-Of-Distribution

  15. HiLNO: A Hierarchical Latent Neural Operator with Multi-Scale Supervision for PDEs on General Geometries

    Sep 16, 2026Zhicheng Hu, Jiacheng Li, Min YangNeural OperatorsPartial Differential Equations

  16. Where to Compute and How to Interact: Operator-Readable Adaptation with Gauge-Aware Transport

    Sep 14, 2026Zixuan Shen, Quanxu Wan, Bingchuan Wang +2Neural OperatorsDiscretization

  17. DU-NO: A Parameter-Efficient Double U-Shaped Neural Operator for Phase-Resolving Wave Modeling

    Sep 14, 2026Enrique Hernandez Noguera, Md Meftahul Ferdaus, Nathan Cooper +2Neural OperatorsComplex Wavefield

  18. Adaptive Anisotropic Attention for Axis-Structured Signals

    Sep 8, 2026Mahir Jain, Parshva Runwal, Aditya Ray Mishra +4ElectroencephalographyAuditory Attention

  19. Learning Metamaterial Eigenmodes with Wavelet-Encoded Fourier Neural Operators

    Sep 8, 2026Han Zhang, Alexander Ogren, Cynthia Rudin +2Fourier Neural OperatorsMetamaterials

  20. Learnable composition for neural operators

    Sep 2, 2026Zituo Chen, Baiming Zhang, Sili DengNeural OperatorsNeural Fields

  21. LaST-SR: Laplace-Inspired Steady-Transient Complex-Frequency Decomposition for Single Image Super-Resolution

    Sep 2, 2026Linhao Li, Zhaojie Pan, Langkun ChenTwo-Level Spatial-Frequency Fusion StrategyFourier

  22. Learning with Volterra Neural Networks: A System Theoretic Perspective

    Sep 1, 2026Haoyu Yun, Hamid Krim, Yufang BaoNeural Tangent KernelNeural Operators

  23. Joint Spatiotemporal Spectral Neural Operators for Learning PDEs on Irregular Domains

    Aug 30, 2026Abdolmehdi Behroozi, Chaopeng ShenNeural OperatorsPartial Differential Equations

  24. Sensitivity-Constrained Neural Operators for Data-Efficient Forward and Inverse Modeling of Partial Differential Equation Systems

    Aug 30, 2026Abdolmehdi Behroozi, Chaopeng Shen, Daniel Kifer +1Neural OperatorsNeural Partial Differential Equation Solvers

  25. Low-Latency Activation-Regularized Sparse Neural Operators with Distillation Assistance Towards Real-Time Neuromorphic Virtual Sensing

    Aug 25, 2026William Howes, Farid Ahmed, Syed Bahauddin AlamNeuromorphic ComputingBrain-Inspired Synergistic Framework

  26. Reinforced Planning with Latent World Models

    Aug 19, 2026Armin Sommer, Jannik SchillingWorld Model PlanningClassical Planning

  27. MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries

    Aug 10, 2026Zijiang Yang, Xiaomeng Wu, Dongmei FuNeural OperatorsNeural Partial Differential Equation Solvers

  28. ADEx-FNO: A Unified Ambient-Domain Framework for Fourier Neural Operators on Varying Geometries

    Aug 9, 2026Roberto Nuca, Giovanni Testa, Luca Galimberti +1Fourier Neural OperatorsComputational Fluid Dynamic

  29. Neural Operators for Immersed-Boundary Soft Swimmers Locomotion

    Aug 7, 2026Mohammad Sadegh Eshaghi, Yizheng Wang, Navid Valizadeh +2Fluid DynamicsNeural Operators

  30. A neural operator view on U-Nets for inverse imaging problems

    Aug 6, 2026Alexander Auras, Martin Burger, Samira Kabri +2U-NetBayesian Inverse Problems

  31. Discretization and Statistical Consistency of Functional Flow Matching

    Aug 5, 2026Lennon J. ShikhmanConditional Flow MatchingDiscretization

  32. Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees

    Aug 3, 2026Hongyue Jiang, Jianjiang Zhan, Chenzhuo Zhang +1Neural OperatorsFinite Element Method

  33. Amortizing the Calibration Triple: A Projection-Consistent Neural Operator for Local-Stochastic Volatility

    Aug 2, 2026Xiaozhen Wang, Anaïs Després, Martin Dureau +1VolatilityStochastic Differential Equations

  34. Neural Operator Learning for Collision-Aware Trajectory Planning of Spacecraft Swarms

    Jul 31, 2026Sidhdharth D. Sikka, Suyi Gao, Zehui Lu +2Unmanned Aerial Vehicle SwarmsSpacecraft

  35. HERO: History-Enriched Rollout Training for Long-Horizon Autoregressive Neural Operators

    Jul 31, 2026Jiaquan Zhang, Shuxu Chen, Haifan Meng +6Autoregressive RolloutNeural Operators

  36. Feature Interaction Modeling for Neural Operators

    Jul 30, 2026Quan Gu, Xiaoduo Li, Hongxia LiuParametric Physics-Informed Neural NetworkPartial Differential Equations

  37. Orca: Neural Operators for Causal Reasoning in Continuous Time

    Jul 30, 2026Gerrit Großmann, David A. Selby, Sebastian J. VollmerCausal ReasoningNeural Operators

  38. Extending Fourier Neural Operators for Modeling Parameterized and Coupled PDEs

    Jul 26, 2026Cheng Jing, Uvini Balasuriya Mudiyanselage, Abhishek Verma +3Fourier Neural OperatorsNeural Operators

  39. Neural operator discovery from heterogeneous trajectories

    Jul 25, 2026Zituo Chen, Qiaofeng Li, Jiaxin Hu +1Neural OperatorsSingle Trajectory

  40. Adaptive Mamba Neural Operators

    Jul 20, 2026Zeyuan Song, Zheyu JiangNeural Partial Differential Equation SolversNeural Operators

  41. An Agentic AI Scientific Community for Automated Neural Operator Discovery

    Jul 13, 2026Luis Loo, Ulisses Braga-NetoNeural OperatorsArtificial Intelligence Scientists

  42. PGD-NO: A Neural Operator with Precomputed Geometry Decomposition for 3D Million-scale Physics Simulations

    Jul 9, 2026Weiheng Zhong, Jing Bi, Victor Oancea +1Neural Partial Differential Equation SolversNeural Operators

  43. Reliable mechanistic operator recovery with biologically-informed neural networks: principles for architecture and optimisation design

    Jul 8, 2026Rebecca M. Crossley, Yuan Yin, Sarah L. Waters +1Neural OperatorsNeural Network

  44. Knowledge-Constrained Shape Optimization with a Mixture-of-Experts Neural Operator for High-Confidence Design

    Jul 7, 2026Wenhao Fan, Yuanwei Bin, Jianghan Gu +4Shape OptimizationAerodynamics

  45. PDEFlow: Autonomous Agentic PDE Pipelines for Neural Operator Learning and Solver-Free Inference

    Jul 6, 2026Akshat Jani, Prathamesh Gadekar, Sakhinana Sagar Srinivas +1Neural Partial Differential Equation SolversNeural Operators

  46. Quadrature-Aware Complex-Linear Neural Operator for Boundary-to-Field Prediction in Resonant Acoustics

    Jul 5, 2026Muhammad Idrees Khan, Hua-Dong YaoFourier Neural OperatorsBayesian Quadrature

  47. LLT: Local Linear Transformer for PDE Operator Learning

    Jul 4, 2026Oded Ovadia, Eli TurkelNeural OperatorsNeural Partial Differential Equation Solvers

  48. LiNO: Lifting based multiresolution neural operator

    Jul 2, 2026Himanshu Pandey, Subham Patel, Ratikanta BeheraNeural OperatorsMultiscale Dynamics

  49. From Spectral Methods to Sample Complexity Bounds for Fourier Neural Operators

    Jul 1, 2026Nisha Chandramoorthy, Daniel Sanz-Alonso, Nathan WaniorekFourier Neural OperatorsNonlinear Operators

  50. Temperature Field Reconstruction of Tungsten Monoblock Divertor on EAST using Physics-aware Neural Operator Transformer

    Jun 30, 2026Zikang Yan, Xiao Wang, Qingquan Yang +6Heat DiffusionNeural Operators

  51. Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification

    Jun 28, 2026Zirui Deng, Jingbo Sun, Deyu Meng +1Neural OperatorsPartial Differential Equations

  52. OperatorSHAP: Fast and Accurate Shapley Value Estimation for Neural Operators

    Jun 26, 2026Joshua Stiller, Santo M. A. R. Thies, Felix Czaja +1Shapley Additive ExplanationsShapley Value