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20 papers in the last four weeks, up 186% on the four weeks before. 0.2% of all new papers.

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  1. Edge Accuracy Is Not Enough: Why Dynamics-Learned Structure Fails to Transfer to Inverse Problems

    Oct 7, 2026Nicholas Tan Jerome, Fangnian WangInverse ProblemsGraph Structure Learning

    Institute for Data Processing and Electronics (IPE) Karlsruhe Institute of Technology (KIT) Karlsruhe, Germany · Institute for Thermal Energy Technology and Safety (ITES) Karlsruhe Institute of Technology (KIT) Karlsruhe, Germany

  2. Fast holographic inversion of superconducting domes

    Oct 7, 2026Sejin KimInverse ProblemsQuantum Many-Body Physics

    Center for AI and Natural Sciences, Korea Institute for Advanced Study, Seoul 02455, Korea

  3. Self-attention summary networks for subsurface velocity-model building from common-image gathers

    Oct 7, 2026Shiqin Zeng, Yunlin Zeng, Abhinav Prakash Gahlot +2Inverse ProblemsBayesian Inverse Problems

    Georgia Institute of Technology

  4. Twist Flow for Inverse Problems

    Oct 7, 2026Shiqin Zeng, Zijun Deng, Felix J. HerrmannBayesian Inverse ProblemsPosterior Sampling

    Georgia Institute of Technology

  5. Inferring physical fields in coupled systems with unknown parameters from incomplete observations using physics-constrained attentive neural operators

    Oct 5, 2026Shilun Wei, Xiaoqiang Sun, Wei Li +1Parameter IdentifiabilityPhysics-Informed Neural Operators

    School of Mathematics, Sun Yat-sen University, Guangzhou, China · School of Sciences, Great Bay University, Dongguan, China · John Hopcroft Center for Computer Science, School of Computer Science, Shanghai Jiao Tong University, Shanghai, China

  6. Robust Ensemble Guidance for Scientific Inverse Problems

    Oct 4, 2026Zixiang Li, Wei Wang, Yunchao Wei +2Diffusion Model GuidanceDiffusion-Based Inverse Problems

    Beijing Jiaotong University · Tsinghua University

  7. R1A-PC: Physics-Guided Electromagnetic Inversion of Three-Dimensional Human Point Clouds in Complex Static Environments

    Oct 4, 2026Xudong Yuan, Ruyun Xu, Jingtai Yang +13D ReconstructionPoint Cloud Surface Reconstruction

    School of Mathematics and Statistics, Changchun University of Science and Technology, Changchun, China.

  8. A Contrast-Source Inversion Scheme Based on Stochastic Optimization and Plug-and-Play Regularization

    Oct 4, 2026Lingqi Gao, Hakan BagciInverse Problems

    Electrical and Computer Engineering (ECE) Program Computer, Electrical, and Mathematical Science and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal, 23955-6900, Saudi Arabia

  9. Initial condition recovery in nonlinear damped viscous photoacoustic tomography using a convolutional neural network-guided gradient-free optimization framework

    Oct 1, 2026Madhu Gupta, Anwesa Dey, Prapti Tala +1Medical ImagingPDE Inverse Problems

    Department of Mathematics, Indian Institute of Technology, Gandhinagar, Gujarat, India. · Department of Mathematics, University of Utah, Salt Lake City, Utah, UT, USA. · Department of Mathematics, The University of Texas at Arlington, Arlington, TX, USA.

  10. DynamicHOI: Coupled Dynamics for Physics-aware HOI Reconstruction

    Sep 29, 2026Wenliang Guo, Zhanbo Huang, Yu Kong3D ReconstructionMonocular 3D Reconstruction

    Michigan State University

  11. Livin' on a Prior: Likelihood Score Approximation for Inverse Problems

    Sep 28, 2026Rostislav Makarov, Tal Peer, Danilo de Oliveira +1Conditional Generative ModelingInverse Problems

    Signal Processing University of Hamburg Hamburg, Germany

  12. SNaP: One-Step Posterior Sampling for Noisy Inverse Problems

    Sep 28, 2026Shirin Shoushtari, Edward P. Chandler, Xiao Shi +1Flow MatchingMeanFlow

    WashU · UW-Madison

  13. FB-GDM: Fully-Bayesian Guided Diffusion Models for High-Dimensional Linear Inverse Problems via Unsupervised Variational Inference

    Sep 24, 2026Gatien Séguy, Thomas RodetDiffusion Model GuidanceBayesian Inverse Problems

    SATIE · SATIE Laboratory, ENS Paris-Saclay, CNRS, Universit´e Paris-Saclay, 91190 Gif-sur-Yvette, France

  14. NeuralSRNF: Neural Square Root Normal Fields for the Statistical Shape Analysis and Generation of Nonrigid 3D and 4D Objects

    Sep 23, 2026Awais Nizamani, Hamid Laga, Guanjin Wang +3Neural Representation GeometryStatistical Shape Modeling

    Murdoch University, Perth, Australia · The University of Western Australia, Perth, Australia · The Johns Hopkins University, Maryland, US

  15. GenVoid: Uncertainty-Aware Learning of Subsurface Material Defects with an Experimentally Validated Physics-Informed Generative Model

    Sep 20, 2026Trishit Mondal, Prajwal Bharadwaj, Nikhil Karanjgaokar +1Physics-Informed Generative ModelingStructural Mechanics

    Aerospace Engineering Department, Worcester Polytechnic Institute, Worcester, MA 01609, USA.

  16. Ranking Competing geologic interpretations via foundation-model-assisted generative hydrologic inversion

    Sep 17, 2026Harun Ur Rashid, Daniel O'MalleyInverse Problems

    Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USA

  17. Learning-Based Reconstruction of Optical Properties in Bilayered Media from Single-distance Time-Resolved Reflectance Measurements

    Sep 17, 2026Caterina Amendola, Giulia Maffeis, Lorenzo Buffoni +8Inverse ProblemsImage Inverse Problems

    Department of Physics, Politecnico di Milano, Milan, 20133, Italy

  18. Deep learning emergent spacetime from fermionic spectral functions in holography

    Sep 16, 2026Koji Hashimoto, Hyun-Sik Jeong, Keun-Young Kim +2High-Energy PhysicsPhysics-Informed ML

    Department of Physics, Kyoto University, Kyoto 606-8502, Japan · Asia Pacific Center for Theoretical Physics, Pohang 37673, Korea · Department of Physics, Pohang University of Science and Technology, Pohang 37673, Korea +3

  19. Physics-Informed Neural Networks for Fast Multilayer Spectral Inversion of Hα 6562.8 A and Ca II 8542.1 A Spectra

    Sep 16, 2026Ziyang Zhang, Qin Li, Vasyl B. Yurchyshyn +4Efficient Neural Network InferencePhysics-Informed ML

    Department of Mechanical and Industrial Engineering, New Jersey Institute of Technology, Newark, NJ, USA · Department of Physics, New Jersey Institute of Technology, Newark, NJ, USA · Big Bear Solar Observatory, New Jersey Institute of Technology, Big Bear City, CA, USA +1

  20. Physical-State-Guided Diffusion Sampling for Full-Waveform Inversion

    Sep 14, 2026Chen Min, Haowen Jiang, Zheng Ma +1Physics-Informed Diffusion ModelsDiffusion-Based Inverse Problems

    School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China · CMA-Shanghai, Shanghai Jiao Tong University, Shanghai, China · School of Mathematics and Statistics, Lanzhou University, Lanzhou, China

  21. Proximal-Only Transmission Matrix Recovery of an Arbitrarily Deformed Graded-Index Multimode Fiber

    Sep 14, 2026Cole ReynoldsEndoscopyInverse Problems

    Weyl Labs

  22. FIRM: Flow-based Imaging via Regularized Minimization

    Sep 11, 2026Shirin Shoushtari, Edward P. Chandler, Xiao Shi +1Conditional Flow MatchingImage Reconstruction

    WashU · UW-Madison

  23. Advanced Brain Tissue Imaging with Data-Consistent Diffusion Priors in Laminographic X-Ray Nanoimaging

    Sep 9, 2026Wenxuan Fang, Abraham L. Levitan, Ana Diaz +103D ReconstructionImage Reconstruction

    Ecole Polytechnique F´ed´erale de Lausanne, Lausanne, Switzerland. · Paul Scherrer Institute, Villigen, Switzerland. · Sensory Circuits and Neurotechnology Lab, The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK. +2

  24. Why Learning Rediscovers the Closed-Form Diagonal Regularizer

    Sep 9, 2026Jeahn Han, Pyojin KimSpectral RegularizationPDE Inverse Problems

    GIST

  25. Multi-Level-Set-Based Physics-Driven Neural Network to Solve 3-D Inverse Scattering Problems

    Sep 8, 2026Yutong Du, Zicheng Liu, Bo Qi +2Physics-Informed MLInverse Problems

    Department of Electronic Engineering, School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710029, China

  26. Scalable Bayesian Optimization of Composite Functions for Image-Based Inverse Problems in Materials Characterization

    Sep 2, 2026Dasol Yoon, Poompol Buathong, Chia-Hao Lee +3Bayesian OptimizationInverse Problems

    School of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA · Department of Materials Science and Engineering, Cornell University, Ithaca, NY 14853, USA · Center for Applied Mathematics, Cornell University, Ithaca, NY 14853, USA +2

  27. Diffusion Based Unpaired Data Learning for Inverse Problems

    Sep 1, 2026Chenglong Bao, Yiming Dang, Chenguang Duan +2Diffusion-Based Inverse ProblemsInverse Problems

    Yau Mathematical Sciences Center, Tsinghua University, Beijing, China · Department of Mathematical Sciences, Tsinghua University, Beijing, China · Institut für Geometrie und Praktische Mathematik, RWTH Aachen University, Aachen, Germany +2

  28. iPINN for Broadband CARS Phase Retrieval: A Framework for Function Approximation and Inverse Modeling Problems in Nonlinear Spectroscopy

    Sep 1, 2026Ravi Teja Vulchi, Carl Messerschmidt, Mohammadsadegh Vafaeinezhad +4Physics-Informed MLRaman Spectroscopy

    Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research · Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI)

  29. HarmoCore: Functional Latent Diffusion for Sparse Reconstruction of Oscillatory Wave Fields

    Sep 1, 2026Lihao Chen, Xinyu Zhang, Panqi Chen +4Sparse RecoveryLatent Diffusion Models

    College of Information Science and Electronic Engineering, Zhejiang University

  30. Diffusion-Based Inverse Design of Dielectric Resonator Metasurfaces for Shaping Smart Electromagnetic Environments

    Aug 30, 2026M. Tsukerman, K. Grotov, D. Vovchuk +1Conditional Generative ModelingInverse Design