Generative Modeling

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39 papers in the last four weeks, up 144% on the four weeks before. 0.4% of all new papers.

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  1. Forecasting Generative Amplification

    Sep 9, 2025Henning Bahl, Sascha Diefenbacher, Nina Elmer +2Generative ModelingHigh-Energy Physics

    Institut für Theoretische Physik, Universität Heidelberg, Germany · Physics Division, Lawrence Berkeley National Laboratory, Berkeley, USA · Interdisciplinary Center for Scientific Computing (IWR), Universität Heidelberg, Germany

  2. Quantum Flow Matching

    Aug 17, 2025Zidong Cui, Pan Zhang, Ying TangFlow MatchingQuantum Generative Modeling

    Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China · Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China · School of Fundamental Physics and Mathematical Sciences, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China +3

  3. No Data Wasted: A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels

    Aug 15, 2025Yiyang Shen, Weiran WangLearning with Missing DataMulti-View Learning

    Department of Computer Science, University of Iowa, Iowa City, Iowa, USA

  4. Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems

    Aug 5, 2025Jan Tauberschmidt, Sophie Fellenz, Sebastian J. Vollmer +1Physics-Informed Generative ModelingFlow Matching

    DSA, German Research Center for Artificial Intelligence (DFKI) · Department of Computer Science, University of Kaiserslautern–Landau (RPTU) · Department of Mathematics, Imperial College London

  5. Neural Langevin Machine: a local asymmetric learning rule can be creative

    Jun 30, 2025Zhendong Yu, Weizhong Huang, Haiping HuangNeural Network GeneralizationImage Generation

    PMI Lab, School of Physics, Sun Yat-sen University, Guangzhou 510275, People’s Republic of China · Guangdong Provincial Key Laboratory of Magnetoelectric Physics and Devices, Sun Yat-sen University, Guangzhou 510275, People’s Republic of China

  6. Local Learning Rules for Out-of-Equilibrium Physical Generative Models

    Jun 23, 2025Cyrill Bösch, Geoffrey Roeder, Marc Serra-Garcia +1Generative ModelingScore-Based Generative Modeling

    Department of Computer Science, Princeton University, Princeton, NJ 08540, USA · AMOLF, Science Park 104, 1098 XG Amsterdam, The Netherlands

  7. Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning

    Jun 20, 2025Marco Jiralerspong, Esther Derman, Danilo Vucetic +5Scientific DiscoveryGenerative Modeling

    1Université de Montréal · 2Mila · 5Independent +1

  8. Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation

    May 28, 2025Yi Zhang, Peng Wang, Difan ZouPhysics-Informed Diffusion ModelsDiffusion Model Distillation

    Institute of Data Science · Department of Computer and Information Science · Institute of Data Science & School of Computing and Data Science

  9. Riemannian Denoising Diffusion Probabilistic Models

    May 7, 2025Zichen Liu, Wei Zhang, Christof Schütte +1Generative ModelingScore-Based Generative Modeling

    Center for Data Science, Peking University, Beijing 100871, P.R. China · Zuse Institute Berlin, Takustrasse 7, Berlin 14195, Germany · Institute of Mathematics, Freie Universität Berlin and Zuse Institute Berlin, Takustrasse 7, Berlin 14195, Germany +1

  10. Recursive Learning Without Collapse: A Weighting-Based Stabilization Framework

    Feb 25, 2025Hengzhi He, Shirong Xu, Guang ChengModel CollapseGenerative Modeling

    Department of Statistics and Data Science, University of California, Los Angeles · Wang Yanan Institute for Studies in Economics, Xiamen University

  11. Local Flow Matching Generative Models

    Oct 3, 2024Chen Xu, Xiuyuan Cheng, Yao XieFlow MatchingGenerative Modeling

    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology. · Department of Mathematics, Duke University

  12. Robustness and Structure Preservation in Flow-Based Generative Models via Wasserstein Path-Space Divergences

    Oct 2, 2024Ziyu Chen, Markos A. Katsoulakis, Benjamin J. ZhangFlow MatchingEquivariant Neural Networks

    Department of Mathematics and School of Data and Information Sciences, University of North Carolina at Chapel Hill · Department of Mathematics and Statistics, University of Massachusetts Amherst · Department of Mathematics, Rutgers University–New Brunswick

  13. Building Expressive and Tractable Probabilistic Generative Models: A Review

    Feb 1, 2024Sahil Sidheekh, Sriraam NatarajanProbabilistic CircuitsGenerative Modeling

    The University of Texas at Dallas

  14. Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors

    Feb 26, 2022Chaofeng Chen, Xinyu Shi, Yipeng Qin +4Generative ModelingImage Super-Resolution

    School of Informatics, Xiamen University Xiamen, China · School of Computer Science and Informatics, Cardiff Universiy Cardiff, England · Faculty of Computing, Harbin Institute of Technology Harbin, China +2

  15. Smoothing the Score Function to Enhance Generalization in Diffusion Models

    Date pendingXinyu Zhou, Jiawei Zhang, Stephen J. WrightMemorization in Generative ModelsGenerative Modeling

    Department of Computer Sciences, University of Wisconsin Madison, WI, USA.

  16. Tunable Latent Generative Priors for Compressed Sensing and Inverse Problems

    Date pendingSean Gunn, Jorio Cocola, Oliver De Candido +2Generative ModelingCompressed Sensing

    Northeastern University · Harvard University · Technical University of Munich +1

  17. Programmable Cellular Automata

    Date pendingAhmed Khalifa, Muhammad Umair Nasir, Matthew Siper +2Cellular AutomataGenerative Modeling

    Institute of Digital Games, University of Malta, 20 L. Esperanto, L-Imsida, Malta · Nof1, 665 Broadway, Brooklyn, NY 10012, USA · University of the Witwatersrand, 1 Jan Smuts Ave, Braamfontein, Johannesburg, 2017, South Africa +1