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. Bi-FORK: Generative Modeling of High-Dimensional Bifurcating Systems

    Oct 8, 2026Anna Zimmel, Fleur Hendriks, Markus Holzleitner +4Generative ModelingDynamical Systems

    ELLIS Unit, LIT AI Lab, Institute for Machine Learning, JKU Linz · Department of Mechanical Engineering, Eindhoven University of Technology · DIFFER – Dutch Institute for Fundamental Energy Research +2

  2. Zatom-2: Multitask Pretraining on Atomistic Data for Generative Modeling across Domains

    Oct 8, 2026Miruna Cretu, Alex Abrudan, Antonia Panescu +11Generative ModelingMolecular Generation

    University of Cambridge · Yale University · MIT +3

  3. Barron Optimal Transport I: Generative Modeling

    Oct 7, 2026Evan Dogariu, Joan BrunaOptimal TransportGenerative Modeling

    Courant Institute School of Mathematics, Computing, and Data Science New York University

  4. Video-Conditioned Generative Joint 2D-3D Hand Motion Recovery

    Oct 7, 2026Chen Xu, Yunqi Li, Binbin Huang +33D Hand Pose EstimationHuman Pose Estimation

    The University of Hong Kong · UC Berkeley

  5. Controlling Dependence in Implicit Generative Models via Spread Mutual Information

    Oct 7, 2026Jiahao Yu, Song Liu, José Miguel Hernández-Lobato +1Generative ModelingMutual Information Estimation

    University of Oxford · Work completed at the University of Cambridge. · University of Bristol +1

  6. Do Generative Priors Align with Human Naturalness Perception?

    Oct 7, 2026Taiki FukiageGenerative ModelingGenerative AI Evaluation

    Communication Science Laboratories, NTT, Inc.

  7. Self-Consuming Generative Models with Co-Evolving Human Preferences

    Oct 7, 2026Xiukun Wei, Tian Xie, Ding Zhu +1Generative ModelingUser Preference Modeling

    The Ohio State University

  8. Stability and Diversity of Networked Self-Consuming Generative Ecosystems

    Oct 7, 2026Xiukun Wei, Yang Zhang, Xueru ZhangGenerative ModelingNeural Network Training Dynamics

    The Ohio State University

  9. iGPC: Generative Motion Priors for Object-Aware Humanoid Interaction

    Oct 6, 2026Anujith Muraleedharan, Abdul Ahad Butt, Nolan Fey +5Contact-Rich Robotic ManipulationHumanoid Robot Control

    Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, United Arab Emirates. · Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. · Minerva Humanoids, Inc.

  10. Global Transport Couplings for Classifier-Free Guided Flows

    Oct 6, 2026Katarina Petrović, Zander W. Blasingame, Danyal Rehman +5Classifier-Free GuidanceConditional Image Generation

    AITHYRA · University of Oxford · Mila - Québec AI Institute +7

  11. Constrained Goal-directed Planar Graph Generation with Grammar-based Reinforcement Learning

    Oct 5, 2026Nicolas Hochuli, Lorenzo Miele, Kristina Shea +1Constrained Generative ModelingGraph Generation

    Engineering Design and Computing Laboratory ETH Zürich

  12. Benchmarking Generative Trajectory Models for Active-Inference Control

    Oct 5, 2026Yulin Li, Mohsen A. Jafari, Andrea MattaActive InferenceGenerative Modeling

    Rutgers University–New Brunswick, Piscataway NJ 08854, USA · Politecnico di Milano, Via La Masa 1, 20156 Milano, Italy

  13. Debias Anything: Fairness with Diversity without Supervision in Diffusion Models

    Oct 1, 2026Théau d'Audiffret, Mariia Vladimirova, Jean-Yves FranceschiDiffusion Model GuidanceDebiased ML

    Criteo AI Lab, Paris, France · ESSEC Business School, France · CentraleSupélec, Université Paris-Saclay, France +1

  14. iADD: Improving Alignment and Diversity in Diffusion Policy Optimization

    Oct 1, 2026Ashok Prasad Neupane, Saugat Adhikari, Pramish Paudel +2Diffusion Model AlignmentGenerative Modeling

    Pulchowk Campus, IOE, Tribhuvan University, Lalitpur, Nepal · INSAIT, Sofia University “St. Kliment Ohridski”, Bulgaria · NAAMII, Kathmandu, Nepal

  15. Discrete Wasserstein Flows for One-Step Generative Modeling

    Oct 1, 2026Alessandro Micheli, Andrea Zerio, Samir BhattWasserstein Gradient FlowsOne-Step Generative Modeling

    Imperial College London London, United Kingdom · Department of Computer Science, Aalborg University, Copenhagen, Denmark; Centre for Frontier AI Research (CFAR), Institute of Advanced Intelligence and Computing (IAIC), A*STAR, Singapore · University of Copenhagen Copenhagen, Denmark

  16. VTV-FM: Flow Matching through Variational Terminal-Velocity Closure

    Sep 30, 2026Haoyang Jiang, Yuheng Li, Di Yang +3Flow MatchingGenerative Modeling

    Department of Data Science, William & Mary Williamsburg, VA 23185, USA

  17. Grand Canonical Generators

    Sep 30, 2026Andreas Burger, Malte Franke, Luka Mucko +2Generative ModelingMolecular Generation

    University of Toronto NVIDIA Vector Institute Toronto, Canada · ETH Zurich NCCR Catalysis Zurich, Switzerland · University of Toronto NVIDIA Vector Institute Acceleration Consortium CIFAR Toronto, Canada

  18. Generative Modeling of Stochastic Dynamics for Long-Time Evolution

    Sep 30, 2026Yang-yang Tan, Jinyang Li, Lingxiao WangDynamical SystemsGenerative Modeling

    Institute for Physics of Intelligence, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan · RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS), Wako, Saitama 351-0198, Japan · KEK Theory Center, Institute of Particle and Nuclear Studies +1

  19. BayesNDE: Bayesian Generative Modeling for Neural Density Estimation

    Sep 30, 2026Chenglin Li, Qiao LiuGenerative ModelingDensity Estimation

    Department of Biostatistics, Yale University New Haven, Connecticut, USA

  20. CNCGEN: A Dataset and Framework for Machining Process Planning and Toolpath Generation from B-rep Models

    Sep 30, 2026Xiaolei Zhou, Boyi Lin, Yuchao Feng +1ManufacturingGenerative Modeling

  21. MIND: Marginal-Invariant Neural Dependency Diffusion for Mixed-Type Tabular Generation

    Sep 30, 2026Pengfei Li, Mohammad KhalilCopula ModelsSynthetic Tabular Data Generation

    Centre for the Science of Learning & Technology (SLATE), University of Bergen, Bergen, Norway

  22. Parameterization method of reservoir properties for ensemble-based data assimilation using intermediate latent space of StyleGAN

    Sep 30, 2026Marcio A. Sampaio, Paulo H. Ranazzi, Martin J. BluntData AssimilationGenerative Modeling

    Departamento de Engenharia de Minas e de Petróleo, Escola Politécnica, Universidade de São Paulo, 05508-030, SP, Brasil. · Department of Earth Science and Engineering, Imperial College London, South Kensington, London, UK

  23. RW-Flow: One-Step Generation on Compact Manifolds via Wasserstein Gradient Flows

    Sep 30, 2026Ualibyek Nurgulan, Seungwoo Yoo, Prin Phunyaphibarn +1Wasserstein Gradient FlowsOne-Step Generative Modeling

    KAIST

  24. Counterfactual Probing for Parallel Unmasking with Hidden Forest Structure

    Sep 29, 2026Ryotaro Kawata, Satoshi Hayakawa, Taiji SuzukiSample ComplexityProbabilistic Graphical Models

    The University of Tokyo · RIKEN AIP

  25. Why Cross-Skeleton Retargeting Is Non-Identifiable: Structural Limits of Generative Motion Models

    Sep 29, 2026Zhiyuan Li, Wenyan Yang, Pekka Marttinen +1Motion RetargetingGenerative Modeling

    Department of Electrical Engineering and Automation, Aalto University, Finland · Department of Computer Science, Aalto University, Finland

  26. Distill Locally, Schedule Globally: Flow Maps for Few-Step Text-to-Speech

    Sep 28, 2026Yentl Collin, Evan Dufraisse, Amr Mohamed +3Flow MatchingTTS Synthesis

    Institute of Foundation Models (IFM), MBZUAI

  27. Weighting Schedules Govern What and When Score-Based Generative Models Learn from Multimodal Data

    Sep 28, 2026Jérémie Klinger, Raphaël Urfin, Giulio Biroli +1Generative ModelingScore-Based Generative Modeling

    Laboratoire de Physique de l’École normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, F-75005 Paris, France

  28. DrawingsDreamer: A Unified Multi-View Engineering Drawings Generation Model

    Sep 28, 2026Shurui Liu, Weide Chen, Changwang Yi +1Generative ModelingAutoregressive Generation

    School of Computer Science and Engineering, Sun Yat-sen University, China · School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, China

  29. MW-Nowcast: Six-hour ensemble nowcasting of extreme precipitation

    Sep 28, 2026Ning Wang, Zuliang Fang, Weixin Jin +19Precipitation ForecastingProbabilistic Forecasting

    Microsoft Corporation. · City University of Hong Kong. · University of Cambridge.

  30. Probabilistic Geodesic Flow Matching on Location-Scale Families

    Sep 28, 2026Zeyuan Yu, Zhi Chang, Shiwei LanFlow MatchingGenerative Modeling

    School of Mathematical & Statistical Sciences Arizona State University Tempe, AZ 85287 USA