Deep Operator Networks

Also known as DeepONet

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1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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Latest papers 27

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  1. Spectral Super-Resolution using Spatial-Spectral Residual Operator Networks

    Sep 28, 2026Seokhyun ChinHyperspectral Image Super-ResolutionHyperspectral Imaging

    California Institute of Technology 1200 E California Boulevard, Pasadena, CA, USA

  2. GenONet: A Generative operator Network for High-Resolution Precipitation Nowcasting

    Sep 1, 2026Mohammad Kian Golkar, Luciano Alves de Oliveira, Mohammad KhanjaniPrecipitation ForecastingSpatiotemporal Forecasting

    University of Illinois Urbana-Champaign · Sharif University of Technology

  3. Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields

    Aug 10, 2026Yupei Nie, Lei Wang, Jiasen LiuUncertainty QuantificationPDE Surrogate Modeling

    School of Mathematics and Physics, North China Electric Power University, Beijing 102206, P.R. China · School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, P.R. China

  4. Fixed and Adaptive Topological DeepONets: Functional Measurements on Hausdorff Locally Convex Spaces

    Aug 5, 2026Khemraj Shukla, George Em KarniadakisPDE Operator LearningNeural Network Approximation Theory

    Division of Applied Mathematics, Brown University Providence, Rhode Island 02912, USA

  5. Feature Interaction Modeling for Neural Operators

    Jul 30, 2026Quan Gu, Xiaoduo Li, Hongxia LiuFeature Interaction ModelingPDE Surrogate Modeling

    Independent Researcher · Taiyuan University of Technology

  6. Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes

    Jul 29, 2026Lennon J. Shikhman, Michael Galarnyk, Aadi Dash +1Quantitative FinanceDeep Operator Networks

    School of Computer Science Georgia Institute of Technology USA

  7. SpectONet: A Physics-Guided Spectral Deep Operator Network for Euler-Bernoulli Beam Dynamics

    Jul 28, 2026Shivani Saini, Ramesh Kumar Vats, Arup Kumar SahooStructural MechanicsPDE Operator Learning

    Department of Mathematics and Scientific Computing, National Institute of Technology Hamirpur, 177005, Himachal Pradesh, India · The Hatter Department of Marine Technologies, Leon H. Charney School of Marine Sciences, University of Haifa, 3498838, Haifa, Israel

  8. Learning Physics-Informed Surrogate Model of Linear Elastic Displacement Fields from Geometry

    Jul 10, 2026Rodolphe Barlogis, Ferhat Tamssaouet, Quentin Falcoz +1Structural MechanicsPDE Surrogate Modeling

    PROMES-CNRS, Universit´e Perpignan Via Domitia (UPVD), Perpignan, France · LAAS-CNRS, Universit´e de Toulouse (UT), Toulouse, France

  9. Hybrid Least Squares/Gradient Descent Methods for MIONets

    Jul 8, 2026Jun Choi, Chang-Ock Lee, Minam MoonGradient DescentNeural Network Optimization

    Department of Mathematical Sciences, KAIST, Daejeon 34141, KOREA · Department of Mathematics, Korea Military Academy, Seoul 01805, KOREA

  10. Adaptive Distance-Aware Trunk Deep Operator Learning for Long-Span Roadway Bridges

    Jun 18, 2026Bilal Ahmed, Diab W. Abueidda, Waleed El-Sekelly +2Deep Operator Networks

    Civil and Urban Engineering Department, New York University Abu Dhabi, United Arab Emirates · New York University Abu Dhabi, United Arab Emirates · Department of Structural Engineering, Mansoura University, Mansoura, Egypt

  11. Operator Boosting Produces Pareto-Efficient PDE Surrogates

    Jun 16, 2026Lennon J. ShikhmanPDE Surrogate ModelingDeep Operator Networks

    Georgia Institute of Technology College of Computing Atlanta, Georgia, USA

  12. Smooth Piecewise Cutting for Neural Operator to Handle Discontinuities and Sharp Transitions

    May 19, 2026Ha Dang, Sebastian Schmidt, Juergen HesserPDE Operator LearningDeep Operator Networks

    Mannheim Institute for Intelligent Systems in Medicine, Heidelberg University · Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University · Heidelberg Institute for Theoretical Studies (HITS), Heidelberg University +2

  13. Neural Operators for Design-Space Surrogate Modeling of Tendon-Actuated Continuum Robots

    May 18, 2026Branden Frieden, James M. Ferguson, Alan Kuntz +1Neural Surrogate ModelingFourier Neural Operator

    The Robotics Center and the Kahlert School of Computing at the University of Utah, Salt Lake City, UT 84112, USA. · The Departments of Computer Science and Electrical and Computer Engineering at Vanderbilt University, Nashville, TN, 37203, USA.

  14. Diffusion-Based Stochastic Operator Networks for Uncertainty Quantification in Stochastic Partial Differential Equations

    May 16, 2026Phuoc-Toan Huynh, Richard Archibald, Feng BaoUncertainty QuantificationDeep Operator Networks

    Department of Mathematics, Florida State University, Tallahassee, FL, USA · Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

  15. fPINN-DeepONet: A Physics-Informed Operator Learning Framework for Multi-term Time-fractional Mixed Diffusion-wave Equations

    May 15, 2026Binghang Lu, Zhaopeng Hao, Christian Moya +1PDE SolvingDeep Operator Networks

    Department of Mathematics, Purdue University West Lafayette, IN 47907, USA · School of Mechanical Engineering, Purdue University West Lafayette, IN 47907, USA

  16. A numerical study into neural network surrogate model performance for uncertainty propagation

    May 15, 2026Noah Wade, Kirubel TeferraNeural Surrogate ModelingUncertainty Quantification

    ASEE Postdoctoral Associate, U.S. Naval Research Laboratory, Washington, DC, 20375, USA · U.S. Naval Research Laboratory, Washington, 20375, DC, USA

  17. Frequency Bias and OOD Generalization in Neural Operators under a Variable-Coefficient Wave Equation

    May 13, 2026Runlong Xie, An LuoFourier Neural OperatorPDE Solving

    Independent Researcher · School of Statistics, University of Minnesota, MN, USA.

  18. NSPOD: Accelerating Krylov solvers via DeepONet-learned POD subspaces

    May 8, 2026Francesc Levrero-Florencio, Youngkyu Lee, Jay Pathak +1PDE SolvingStructural Mechanics

    Synopsys UK Ltd, UK · Division of Applied Mathematics, Brown University, Rhode Island, USA · Synopsys Inc, California, USA

  19. Learning the Helmholtz equation operator with DeepONet for non-parametric 2D geometries

    May 1, 2026Rodolphe Barlogis, Ferhat Tamssaouet, Quentin Falcoz +1PDE SolvingPDE Operator Learning

    PROMES-CNRS, Université Perpignan Via Domitia (UPVD), Perpignan, France · LAAS-CNRS, Université de Toulouse (UT), Toulouse, France

  20. Conformalized Quantum DeepONet Ensembles: Towards Scalable Operator Learning with Distribution-Free Guarantees

    May 1, 2026Purav Matlia, Christian Moya, Guang LinUncertainty QuantificationHybrid Quantum-Classical ML

    Department of Computer Science Purdue University · Department of Mathematics Purdue University · Department of Mathematics Department of Mechanical Engineering Purdue University

  21. Physics-Guided Dimension Reduction for Simulation-Free Operator Learning of Stiff Differential-Algebraic Systems

    Apr 21, 2026Huy Hoang Le, Haoguang Wang, Christian Moya +2Reduced-Order ModelingDeep Operator Networks

    School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907 USA · Department of Mathematics, Purdue University, West Lafayette, IN 47907 USA · Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102 USA

  22. Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks

    Apr 20, 2026Jun Chen, Umberto Biccari, Junmin WangFeedback ControlDeep Operator Networks

  23. Translation Invariance of Neural Operators for the FitzHugh-Nagumo Model

    Mar 18, 2026Luca PellegriniFourier Neural OperatorPDE Operator Learning

    Department of Mathematics, University of Pavia, Pavia, Italy · Euler Institute, Faculty of Informatics, Universit`a della Svizzera italiana, Lugano, Switzerland

  24. Spectral Embedding via Chebyshev Bases for Robust DeepONet Approximation

    Dec 9, 2025Muhammad Abid, Omer SanPDE Surrogate ModelingPDE Operator Learning

    Department of Mechanical and Aerospace Engineering, University of Tennessee, Knoxville, TN 37996, USA.

  25. New universal operator approximation theorem for encoder-decoder architectures

    Mar 31, 2025Janek Gödeke, Pascal FernselNeural Network Approximation TheoryDeep Operator Networks

    Center for Industrial Mathematics University of Bremen

  26. From Theory to Application: A Practical Introduction to Neural Operators in Scientific Computing

    Mar 7, 2025Prashant K. JhaNeural Surrogate ModelingFourier Neural Operator

    Department of Mechanical Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA.

  27. Exponential Convergence of Deep Operator Networks for Elliptic Partial Differential Equations

    Dec 15, 2021Carlo Marcati, Christoph SchwabPDE SolvingPDE Operator Learning

    Seminar for Applied Mathematics, ETH Zurich, Switzerland