Generative Modeling

Latest papers 347

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  1. DYSANOS Generative Dynamic Smooth Arbitrage-free Non-parametric Option Surfaces

    Aug 12, 2026Hans Buehler, Blanka Horvath, Anastasis Kratsios +1Quantitative FinanceGenerative Modeling

  2. Unifying Generative Models with Path Integrals

    Aug 12, 2026Ramon WinterhalderGenerative ModelingFlow-Based Generative Modeling

  3. Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows

    Aug 12, 2026Thejani Gamage, Hyemin Gu, Zhizhen Zhang +3Wasserstein Gradient FlowsGenerative Modeling

  4. Generator-Guided Inverse Sampling for Lévy-Driven Generative Models

    Aug 11, 2026Tianfu Qi, Jun Wang, Jun ZhangPosterior SamplingGenerative Modeling

  5. Renormalising Generative Models for Active Inference: Foundations, Derivations, and Verification

    Aug 10, 2026Karim Zaghw, Andrew Pashea, Marc Pritsch +3Active InferenceGenerative Modeling

  6. Imaginative Generative AI: Crossing the Entropy Wall into Worlds Beyond Imitation

    Aug 10, 2026Farzan Farnia, Hossein Goli, Amin GohariConstrained Generative ModelingDiffusion Model Guidance

  7. ControlRadio: Prompt-Driven Controllable Diffusion for Cross-Modal Radio Map Generation

    Aug 10, 2026Kangjun Liu, Xiying Pan, Shuhang Zhang +3Wireless CommunicationsGenerative Modeling

  8. Leveraging generative models to assist Monte Carlo sampling

    Aug 7, 2026Marylou GabriéNormalizing FlowsGenerative Modeling

  9. Why the Third Axis Is Freedom

    Aug 5, 2026Michael Timothy BennettOOD GeneralizationGenerative Modeling

  10. Representational separation between unitary and channel quantum generative models via shared classical randomness at shallow depth

    Aug 5, 2026Arunava Majumder, Marius Krumm, Hendrik Poulsen Nautrup +1Quantum Generative ModelingQuantum Machine Learning

  11. Intrinsic-Hybrid Latent Diffusion Models for Generative Modeling on Unknown Manifolds

    Aug 5, 2026Yizhu Wang, Mu Niu, Xiaochen YangLatent Diffusion ModelsGenerative Modeling

  12. Federated generative event models for tokenized electronic health records

    Aug 3, 2026Michael C. Burkhart, Luke Solo, Inhyeok Lee +8Clinical Outcome PredictionGenerative Modeling

  13. SPAE: Spectrally Guided Autoencoder for Pretrained Visual Latents

    Aug 2, 2026Yibin Huang, Jixiang Hong, Zongzhao Li +8AutoencodersVision Foundation Model Adaptation

  14. One-Sided Quantile Coupling for Flow Matching

    Aug 2, 2026Jin-Young Kim, So-Yoon Cho, Hyun-Gyoon KimFlow MatchingImage Generation

  15. Beyond Token-Level Cross-Entropy: Fréchet Distributional Post-Training for Autoregressive Image Generation

    Aug 1, 2026Jinhua Zhang, Yisong Lin, Wei Long +1Generative ModelingAutoregressive Image Generation

  16. MUL-T: Decoding Spatial Cellular Architecture in Multiplexed Tissue Images

    Jul 30, 2026Farzaneh Seyedshahi, Kai Rakovic, Adalberto Claudio Quiros +2TransformerGenerative Modeling

  17. SE(3)-MeanFlow: Few-Step Protein Backbone Generation on Lie Groups

    Jul 29, 2026Yikun Bai, Binghang Lu, Yikai Liu +7Flow MatchingLie Group Methods

  18. DistillAlign: Coordinating Mode Covering and Mode Seeking in Autoregressive Video Distillation

    Jul 29, 2026Jiaxing Li, Kai Zou, Cindy Zhou +7Generative ModelingAutoregressive Video Generation

  19. Existence-Field Diffusion Model for Spatial Point Processes with Variable Cardinality

    Jul 29, 2026Xiaoyin Pan, Christian R. Shelton, Rakshith Mahishi +1Generative ModelingDiffusion Models

  20. Noise-Robust Conditional Flow Matching: Generating Clean Samples from Noisy Datasets

    Jul 28, 2026Adrian Urbański, Gabriel della Maggiora, Artur YakimovichFlow MatchingImage Generation

  21. Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields?

    Jul 28, 2026Daniel Kua, Yan SongVariational AutoencodersFlow Matching

  22. When Can You Correct Distribution Drift in Temporal Graph Generation? A Sharpening--Drift Tension and an Impossibility for Observation-Based Correction

    Jul 27, 2026Tianpeng Li, Xuan Guo, Wenjun Wang +2Flow MatchingDistribution Shift

  23. MSVS-VAE: Multi-Scale Anchored VecSet for High-Fidelity 3D Reconstruction

    Jul 27, 2026Dehao Hao, Kaiyi Zhang, Tanghui Jia +10Variational Autoencoders3D Reconstruction

  24. Physics-Guided Generative AI for Property-Targeted 3D Porous Media Design

    Jul 27, 2026Peng WangGenerative ModelingConditional Generative Modeling

  25. Offline-to-Online Creative Optimization with Generative Models and Adaptive Testing

    Jul 26, 2026Kevin Lee, Benjamin Letham, Zhiyuan Jerry Lin +5Online AdvertisingGenerative Modeling

  26. Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule

    Jul 25, 2026Mauricio A. Valle, Gonzalo A. RuzGenerative ModelingRestricted Boltzmann Machines