Generative Modeling

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  1. Logit-Coordinate Generative Models for Mixed Continuous-Categorical Tabular Data

    Jul 25, 2026Yuefei Shen, Xiaotong ShenFlow MatchingSynthetic Tabular Data Generation

  2. Expanding Flow Maps

    Jul 23, 2026Sophia Tang, Pranam ChatterjeeFlow Map LearningGenerative Modeling

  3. Latent Riemannian Flow Matching for Geometry-Grounded 3D Foundation Models

    Jul 21, 2026Lisa Weijler, Irene Ballester, Guofeng Mei +23D Foundation ModelsFlow Matching

  4. GEqTrain: A Configuration-Driven Framework for Retargeting Equivariant Graph Neural Networks Across 3D Scientific Tasks

    Jul 21, 2026Daniele Angioletti, Marco Nobile, Vittorio LimongelliFlow MatchingGenerative Modeling

  5. Decafs: Disentangled Conditional adversarial Flows

    Jul 21, 2026Anirudh jain, Sakshi Varshney, Samuel Kaski +1Disentangled Representation LearningNormalizing Flows

  6. SGN: A Similarity-based Generative Network for Data Generation under Distribution Shift

    Jul 20, 2026Jiaqi Zhu, Xincheng Chen, Yuncheng Wu +2Synthetic Data AugmentationGenerative Modeling

  7. Heavy-Tailed Flow Matching via Random Clocks

    Jul 15, 2026Zhouhao Yang, Yezhen Wang, Kenji Kawaguchi +2Flow MatchingHeavy-Tailed Noise

  8. Self-Consistent Flow: Unifying Velocity and Endpoint Prediction for Rectified Flow Models

    Jul 13, 2026Xu Han, Jiajing Hu, Li-Ping LiuRectified FlowImage Generation

  9. Diachronic Sample Integration: Robust Tail-Risk Estimation with Generative Models

    Jul 12, 2026Shuning Zhao, Patrick Wong, Leran Zhang +1Ensemble LearningGenerative Modeling

  10. Detangled: A Framework for Creating, Editing, and Inferencing Feature Rich Hair Strands

    Jul 10, 2026Sarah Jobalia, Yitong Deng, Carolyn Smith +1Generative ModelingImage Editing

  11. Variable-Length Generative Protein Design via Generalized Poisson Flow

    Jul 10, 2026Chaoran Cheng, Zhanghan Ni, Yanru Qu +4Generative ModelingFlow-Based Generative Modeling

  12. DreamCharacter-1: From 3D Generative Foundation Models to Product-Ready Character Generation

    Jul 8, 2026Weizhe Liu, Yunjie Wu, Xiangqian Shu +53D Foundation Models3D Asset Generation

  13. Unlocking Temporal Generalization in Hamiltonian Video Dynamics Models

    Jul 8, 2026Eli Laird, Corey ClarkPhysical Consistency in Video GenerationLatent Dynamics Modeling

  14. BubbleSH: A Dataset of Rising Bubbles with Deformable Interfaces

    Jul 8, 2026Rachna Ramesh, Kiet Bennema ten Brinke, Douwe Orij +2Generative ModelingSpherical Harmonics

  15. From Jumps to Signatures: a Generative Method for Temporal Point Processes

    Jul 7, 2026Niels Cariou-Kotlarek, Vasileios LamposTemporal Point ProcessesGenerative Modeling

  16. Constrained Flow Matching via Lagrangian Dual Flows

    Jul 5, 2026Vince Kurtz, Alexander DavydovConstrained Generative ModelingFlow Matching

  17. One Framework for All: Cross-Modal Membership Inference for Generative Models

    Jul 5, 2026Dayong Ye, Tainqing Zhu, Kun Gao +6Membership Inference AttacksGenerative Modeling

  18. Reflected Schrödinger Bridge Matching

    Jul 3, 2026Marcus Häggbom, Viktor Nilsson, Pierre Nyquist +1Schrödinger BridgesImage Generation

  19. AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms

    Jul 3, 2026Emmanuel Bengio, Sanjeev Raja, Yui Tik Pang +5Free Energy CalculationGenerative Modeling

  20. SAMoR: Motion Modelling for Articulated Objects of Any Skeleton and Topology

    Jul 2, 2026Yuhao Zhang, Gerard Pons-Moll, Tolga BirdalGenerative ModelingMotion Representation Learning

  21. Decision-Aware Training for Sample-Based Generative Models

    Jul 1, 2026Kornelius Raeth, Nicole LudwigCost-Sensitive LearningProbabilistic Forecasting

  22. GenSP: Consistent Spherical Parameterization via Learning Shape Generative Models

    Jul 1, 2026Sai Karthikey Pentapati, Shashank Gupta, Rajesh Sureddi +3Generative Modeling

  23. Generative Modeling of Quantum Distribution with Functional Flow Matching

    Jul 1, 2026Jaehoon Hahm, Tak Hur, Joonseok Lee +1Flow MatchingQuantum Generative Modeling

  24. TRIE: An Evaluation Framework for Stochastic PDE Surrogates

    Jun 30, 2026Bharat Srikishan, Javier E. Santos, Nikhil Muralidhar +1PDE Surrogate ModelingProbabilistic Forecasting

  25. SNAP-FM: Sparse Nonlinear Accelerated Projection for Physics-Constrained Generative Modeling

    Jun 30, 2026Alaina Kolli, Theodoros Xenakis, Utkarsh Utkarsh +4Constrained Generative ModelingPhysics-Informed Generative Modeling

  26. Deep Spectral Models for Robust Dental Shape Generation

    Jun 30, 2026Tibor Kubík, François Guibault, Michal Španěl +1Geometric Representation LearningGenerative Modeling