Surrogate Modeling

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21 papers in the last four weeks, up 200% on the four weeks before. 0.2% of all new papers.

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  1. SMART: A Machine Learning and Monte Carlo Framework for Rapid Analysis of Stochastic Transistor Aging and Process Variation in Digital Circuits

    Jul 6, 2026Arash Esshaghi, Siavash Es'haghi, Gholamreza Shahabadi +1Surrogate ModelingElectronic Design Automation

    Department of Optimization and Mathematics, Payame Noor University, Tehran, Iran. · Department of Electrical and Computer Engineering, SR.C., Islamic Azad University, Tehran, Iran. · Department of Electrical Engineering, National University of Skills (NUS), Tehran, Iran +1

  2. A Deep Learning-based surrogate model for Severe Accidents in nuclear reactors using ASTEC

    Jul 5, 2026Alessandro Longhi, Danny Lathouwers, Zoltán PerkóNeural Surrogate ModelingSurrogate Modeling

    TU Delft · Department of Radiation Science and Technology · Delft, The Netherlands

  3. Koopman operator theory: fundamentals, control, and applications

    Jul 2, 2026Igor Mezić, Jorge Cortés, Karl Worthmann +2Surrogate ModelingKoopman Operator Learning

    Department of Mechanical Engineering, University of California, Santa Barbara, USA · Department of Mechanical and Aerospace Engineering, University of California, San Diego, USA · Optimization-based Control Group, TU Ilmenau, Germany +2

  4. Inpainting U-Net for seamless pedestrian-level wind prediction across urban morphologies

    Jun 28, 2026Jingzi Huang, Claire E. Heaney, Tao Li +3Surrogate ModelingU-Net

    Department of Civil and Environmental Engineering, Imperial College London, London, SW7 2AZ, UK · Department of Earth Science and Engineering, Applied Modelling and Computation Group, Imperial College London, London, SW7 2AZ, UK

  5. RECAST: Model Reconstruction via Counterfactual-Aware Wasserstein Geometry under Limited Data

    Jun 26, 2026Xuan Zhao, Lena Krieger, Zhuo Cao +3Surrogate ModelingModel Extraction Attacks

    IAS-8, Forschungszentrum Jülich, Germany · LMU Munich, Munich Center for Machine Learning (MCML), Germany · Department of Computer Science, Aarhus University, Denmark

  6. Global Explanations for Multivariate Time Series Forecasting Models via KK-Order Markov Approximations

    Jun 25, 2026Amadeo TunyiMultivariate Time Series ForecastingSurrogate Modeling

    XITASO GmbH Austraße 35, 86153 Augsburg, Germany

  7. Kolmogorov Arnold networks (KAN) for aerodynamic prediction: a comparison with MLPs and GNNs

    Jun 25, 2026Miguel Jaraiz, Fermin Gutierrez, Pablo Yeste +4Multilayer PerceptronsSurrogate Modeling

    ETSIAE-UPM-School of Aeronautics, Universidad Politécnica de Madrid, Plaza Cardenal Cisneros 3, E-28040 Madrid, Spain · Center for Computational Simulation, Universidad Politécnica de Madrid, Campus de Montegancedo, Boadilla del Monte, 28660 Madrid, Spain · Institute for Cross-Disciplinary Physics and Complex Systems (IFISC, CSIC-UIB), 07122 Palma de Mallorca (Spain)

  8. A Physics-Informed Fourier-Wavelet Transformer for Multiscale Computational Fluid Dynamics Surrogate Modeling

    Jun 23, 2026Somyajit Chakraborty, Ming Pan, Xizhong ChenSurrogate ModelingPDE Surrogate Modeling

    Shanghai Jiao Tong University, Department of Chemistry and Chemical Engineering 800 Dongchuan Road, Minhang District, Shanghai, 200240, China

  9. Optimal scenario design for climate emulation

    Jun 17, 2026Christopher B. Womack, Shahine Bouabid, Andrei Sokolov +4Surrogate ModelingClimate Modeling

    Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, United States · Center for Sustainability Science and Strategy, Massachusetts Institute of Technology, Cambridge, MA, United States · Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States +2

  10. ThousandWorlds: A benchmark for climate emulation of potentially habitable exoplanets

    Jun 16, 2026Edward T. Stevenson, Mei Ting Mak, Eric Wolf +4Surrogate ModelingClimate Science

    University of Cambridge · University of Oxford · University of Colorado Boulder +3

  11. Surrogate Assisted Pedestrian Protection Design via a Foundation Model Orchestrated Workflow

    Jun 16, 2026Osamu Ito, Akihiko Katagiri, Yoshikazu Nakagawa +3Surrogate ModelingSurrogate-Assisted Optimization

    Honda Motor Co., Ltd. Wako-shi, Saitama 351-0188, Japan

  12. Tight L∞L_\infty Sample Complexity for Low-Degree and Sparse Boolean Polynomials

    Jun 15, 2026Jasper van Doornmalen, Mathieu Molina, Victor Verdugo +1Surrogate ModelingBoolean Function Learning

    Institute for Mathematical and Computational Engineering, Pontificia Universidad Católica de Chile, Chile · Blavatnik School of Computer Science and AI, Tel Aviv University, Israel · Institute for Mathematical and Computational Engineering, and Department of Industrial and Systems Engineering, Pontificia Universidad Católica de Chile, Chile

  13. Uncertainty Quantification of Engineering Structures by Polynomial Chaos Expansion and Multivariate Active Learning

    Jun 15, 2026Qitian Lu, Jafar Jafari-Asl, Panagiotis Spyridis +1Surrogate ModelingUncertainty Quantification

    Brno University of Technology, Brno, Czech Republic · University of Rostock, Rostock, Germany

  14. Statistical Foundations of LLM-based A/B Testing: A Surrogacy Framework for Human Causal Inference

    Jun 15, 2026Joel Persson, Mårten Schultzberg, Sebastian AnkargrenSurrogate ModelingA/b Testing

    Spotify USA, Inc. New York, NY, USA · Spotify AB Stockholm, Sweden

  15. Graphical conditional generative modeling for digital twin modeling

    Jun 15, 2026Zongren Zou, Théo Bourdais, Ricardo Baptista +1Surrogate ModelingDigital Twins

    Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA · Department of Statistical Sciences, University of Toronto, Toronto, Canada

  16. Quantifying the Impact of Lossy Compression on Neural Generative Surrogate Modeling

    Jun 14, 2026Zhimin Li, Harshitha Menon, Charles Jekel +2Neural Surrogate ModelingSurrogate Modeling

    Department of Computer Science Vanderbilt University Nashville, United States · Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore, United States · Computational Engineering Division Lawrence Livermore National Laboratory Livermore, United States +1

  17. Model Stealing Through the Lens of Model Multiplicity

    Jun 13, 2026Eliott Baltz, Satoshi Hara, Ulrich AïvodjiSurrogate ModelingModel Extraction Attacks

    §ÉTS, Mila : Montréal · ‡The University of Electro-Communications : Tokyo

  18. Physics-conforming Latent Twins

    Jun 13, 2026Matthias Chung, Yutong Bu, Deepanshu VermaNeural Surrogate ModelingSurrogate Modeling

    Department of Mathematics, Emory University, 400 Dowman Drive, Atlanta, 30322, GA, USA · School of Mathematical and Statistical Sciences, Clemson University, 220 Parkway Drive, Clemson, 29634, SC, USA

  19. Regional Climate Model Emulation with Diffusion Approaches: What is the Added Value of Generative Machine Learning?

    Jun 12, 2026Mikel N. Legasa, Antoine Doury, Achille Gellens +4Surrogate ModelingPrecipitation Downscaling

    Laboratoire des Sciences du Climat et de l’Environnement (LSCE), CEA/CNRS/UVSQ, Universit´e Paris Saclay, UMR8212, 91191 Gif-sur-Yvette, France · CNRM, Universit´e de Toulouse, M´et´eo-France, CNRS, Toulouse, France · Institut Pierre-Simon Laplace (IPSL), FR636, Paris, France +1

  20. Reliability of Probabilistic Emulation of Physical Systems

    Jun 11, 2026Sam F. Greenbury, Radka Jersakova, Paolo Conti +4Surrogate ModelingProbabilistic Forecasting

    The Alan Turing Institute · Autodesk Research · PhysicsX +3

  21. SwiftCTS: Fast Cross-Design Prediction and Pareto Optimization of Clock Tree Metrics via Few-Shot Calibration

    Jun 9, 2026Barsat Khadka, Kawsher Roxy, Md Rubel AhmedSurrogate ModelingSurrogate-Assisted Optimization

    The University of Southern Mississippi Hattiesburg, MS, USA · Intel Corporation Hillsboro, OR, USA · Louisiana Tech University Ruston, LA, USA

  22. First-Order Trajectory Matching: Fast Ensemble Predictions of Chaotic, Turbulent, Stochastic Systems

    Jun 9, 2026Shreya Jha, Timo Schorlepp, Nicholas Geissler +2Dynamical SystemsSurrogate Modeling

    Courant Institute of Mathematical Sciences, New York University

  23. In-Context Learning for Latent Space Bayesian Optimization

    Jun 8, 2026Tuan A. Vu, Harri Lähdesmäki, Julien MartinelliSynthetic Data PretrainingMolecular Optimization

    Aalto University

  24. Machine-Learning Emulation of Satellite Greenhouse Gas Retrievals: Stability over Time

    Jun 8, 2026Nugzar Gognadze, Motonobu Kanagawa, Yu Someya +1Surrogate ModelingDistribution Shift

    Data Science Department, EURECOM, 450 Route des Chappes, Biot, 06410, France

  25. Temporal Coverage over Density: Parsimonious Training-Set Design for ML Climate Downscaling

    Jun 5, 2026Karandeep Singh, Stefan Rahimi, Chad W. Thackeray +2Surrogate ModelingClimate Science

    Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA, USA · Department of Atmospheric Science, University of Wyoming, WY, USA

  26. CoMetaPNS: Continually Meta-learning Personalized Neural Surrogates for Cardiac Electrophysiology Simulations

    Jun 5, 2026Ryan Missel, Xiajun Jiang, Linwei WangNeural Surrogate ModelingSurrogate Modeling

  27. Decision-Aware Evaluation of Physics-Informed Surrogates

    Jun 5, 2026Daniel Cieślak, Andrzej CzyżewskiSurrogate ModelingBenchmark Design

    Gdańsk University of Technology, Gdańsk, Poland

  28. 3D Underwater Path Planning via Generative Flow Field Surrogates

    Jun 4, 2026Zachary Cooper-Baldock, Paulo E. Santos, Russell S. A. Brinkworth +1Surrogate ModelingUnderwater Robotics

    Flinders University · PrioriAnalytica

  29. Data-efficient flood depth prediction through domain-aware coreset selection and tabular foundation models

    Jun 3, 2026Lipai Huang, Adithi Srinath, Manas Singh +2Surrogate ModelingOOD Generalization

    Urban Resilience.AI Lab, Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX, USA · Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA · Resilitix Intelligence LLC, Houston, TX, USA +1

  30. CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters

    Jun 2, 2026Cheng Jiang, Sitian Qian, Kevin Pedro +3Physics-Informed Generative ModelingFlow Matching

    School of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom · Department of Physics, University of Wisconsin-Madison, Madison, WI 53706, USA · Fermi National Accelerator Laboratory, Batavia, IL 60510, USA +2