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94 papers in the last four weeks, up 119% on the four weeks before. 0.9% of all new papers.

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

    Oct 7, 2026Xiukun Wei, Tian Xie, Ding Zhu +1Preference DatasetsGenerative Models

    The Ohio State University

  2. Benchmarking Generative Trajectory Models for Active-Inference Control

    Oct 5, 2026Yulin Li, Mohsen A. Jafari, Andrea MattaGenerative Control PoliciesGenerative Models

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

  3. Fixed-point neural samplers on discrete spaces

    Oct 1, 2026Jiajun He, Denis Blessing, Mouyang Cheng +2Accelerated SamplingGibbs

    MIT · Microsoft Research New England

  4. Discrete Wasserstein Flows for One-Step Generative Modeling

    Oct 1, 2026Alessandro Micheli, Andrea Zerio, Samir BhattWasserstein Gradient FlowsWasserstein Distance

    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

  5. Feature Selective Model Collapse in Diffusion Models: Total Replacement versus Fixed-Budget Training

    Oct 1, 2026Hanna Malet, Gabriel TuriniciDiffusion ModelsCollapse

    CEREMADE CNRS Université Paris Dauphine - PSL Paris 75116 FRANCE · Cornell University Ithaca, NY, USA

  6. Kernelized Activation Steering

    Oct 1, 2026Laziz U. Abdullaev, Minh-Hieu Pham, Bach Do +2Linear Activation SteeringModel Activations

    Hanoi University of Science and Technology

  7. Bootstrapping Video Interaction Generation with Synthetic State Transitions

    Oct 1, 2026Jiho Jang, Jinyoung Kim, Nojun Kwak +1Human Motion GenerationGenerative Models

    Seoul National University · Independent Researcher · Sejong University

  8. Rethinking Data Augmentation under Covariate Shift: Invariant-Guided Diffusion and Prototype Reweighting

    Oct 1, 2026Hongyu Cao, Xinyuan Wang, Arun Vignesh Malarkkan +3Data AugmentationCovariate Shift

    School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281 USA

  9. Benchmarking Generative Models for Near-Surface Data Assimilation on Real Station Observations

    Sep 30, 2026Ruizhe Huang, Qidong Yang, Jonathan Giezendanner +1Data AssimilationEra5 Reanalysis Data

    Massachusetts Institute of Technology, Cambridge, MA, USA

  10. Scaling Collider Event Generation with Residual-Quantized Tokens

    Sep 30, 2026Dan Godi, Dmitrii Kobylianskii, Eilam GrossGenerative ModelsCollision Prediction

    Weizmann Institute of Science, Rehovot, Israel

  11. PhysVista: Benchmarking Physical Intelligence in VLMs via a Perception-Reasoning-Assessment Loop

    Sep 30, 2026Xinge Peng, Yiting Lu, Tianwu Zhi +4Multimodal ReasoningPerception Pipeline

    University of Science and Technology of China · ByteDance · City University of Hong Kong

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

    Sep 30, 2026Yang-yang Tan, Jinyang Li, Lingxiao WangStochastic DynamicsStatistical Physics

    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

  13. One-Step Generative Modeling via Training Dynamics Action

    Sep 30, 2026Zhangyong Liang, Ying Huang, Haibin LingGenerative ModelsStudent-Generated Trajectories

    Department of Artificial Intelligence, Westlake University · Hangzhou Normal University

  14. Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces

    Sep 30, 2026Hongyuan Tao, Xinggang Wang, Lianghui Zhu +7Multimodal PretrainingMultimodal Representations

    Huazhong University of Science and Technology · Beijing Jiaotong University · Horizon Robotics

  15. PrefPI: Preference-Guided Steering into Out-of-Distribution Behaviors

    Sep 30, 2026Seungeun Rho, Wontaek Kim, Danfei Xu +1Robot PoliciesSteering

    School of Interactive Computing Georgia Institute of Technology

  16. Fenchel Tilting: Weighted Correction for Efficient Finetuning of Generative Models

    Sep 30, 2026Maksim Bobrin, Maksim Zhdanov, Dmitry DylovGenerative Flow NetworksGenerative Models

    AXXX · Applied AI Institute · MBZUAI

  17. Amortized Bayesian Inference on Multilevel Models of Arbitrary Structure

    Sep 30, 2026Daniel Habermann, Andreas Bulling, Stefan T. Radev +1Bayesian InferenceGeneralized Linear Model

    Department of Statistics TU Dortmund University, Germany · Institute for Visualisation and Interactive Systems University of Stuttgart, Germany · Department of Cognitive Science Rensselaer Polytechnic Institute, USA

  18. PassGPT+: Leveraging Linguistic Priors for Password Modeling

    Sep 30, 2026Rajneesh Anand, Neeraj Lakshmanan, Masoud YariGenerative ModelsLinguistics

    Department of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, PA, 18015, USA · Department of Computer Science & Design, Singapore University of Technology & Design, Singapore · Department of Computer Science & Engineering, Lehigh University, Bethlehem, PA, 18015, USA

  19. BayesNDE: Bayesian Generative Modeling for Neural Density Estimation

    Sep 30, 2026Chenglin Li, Qiao LiuDensity Ratio EstimationBayesian

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

  20. Stable Transformers for Graph Generation

    Sep 30, 2026Luca Miglior, Alessio Gravina, Davide BacciuMultiplex Graph TransformersGenerative Models

    Department of Computer Science, University of Pisa, Italy

  21. BAM! Bayesian Anything Model: a foundation model for generative computational imaging

    Sep 30, 2026Alessio Spagnoletti, Charlesquin Kemajou Mbakam, Jonathan Spence +2Generative ModelsVisual Priors

    Laboratoire MAP5, UMR 8145, Université Paris Cité, CNRS · Heriot-Watt University, School of Mathematical and Computer Sciences & Maxwell Institute for Mathematical Sciences

  22. WEIRDO: WEak resIdual Regularized DOob's h-transform diffusion alignment

    Sep 30, 2026Denis SuchkovDiffusion AlignmentWasserstein Gradient Flows

    HSE University, Russian Federation

  23. CDMD: A Cross-Dataset Mixed-Type Diffusion Model for Tabular Data

    Sep 30, 2026Mohamed Amine Ketata, Maximilian Schambach, Stephan GünnemannSynthetic Tabular DataTabular Data

    Munich Data Science Institute, Technical University of Munich, Germany · SAP SE, Germany

  24. Manifold-Constrained Initial Noise Optimization for Efficient Generative Model Alignment

    Sep 30, 2026Jinho Chang, Jong Chul YeDiffusion AlignmentGenerative Models

    Kim Jaechul Graduate School of AI KAIST Seoul, South Korea

  25. Steepest Guidance: A Practical and Principled Approach to Inference-Time Alignment of Flow and Diffusion-based Models

    Sep 30, 2026Shokichi Takakura, Akifumi Wachi, Rei Higuchi +2Diffusion AlignmentDiffusion Models

    LY Corporation · The University of Tokyo · RIKEN AIP

  26. Learning Where to Steer: Noise-Space Geometry for Efficient Offline Multi-Objective Optimization with Generative Models

    Sep 30, 2026Yuan Lu, Esha Singh, Yi-An Ma +1Multi-Objective OptimizationPareto Frontier

    Halıcıoğlu Data Science Institute, UC San Diego · Department of Computer Science & Engineering, UC San Diego

  27. Online Evolution Strategy for Flow-Matching VLA Policies via Self-Supervised Trajectory Distribution Optimization

    Sep 30, 2026Gongxin Yao, Yongsheng Zhao, Jiayin Deng +4Flow-Matching Vision-Language-ActionFlow Policies

    China Mobile (Hangzhou) Information Technology Co., Ltd., Hangzhou, 311121, China

  28. Autoregressive Frontier Expansion: Growing Trees with Graph Machine Learning

    Sep 29, 2026Umer Gupta, Saku Peltonen, Martin RitzertHigh-Fidelity 3D GenerationGenerative Models

    Independent Researcher London, United Kingdom · ETH Zurich Zurich, Switzerland · Leipzig University Leipzig, Germany

  29. Synthesis Without Training: An Inference-Only Pipeline for Tabular, Temporal, and Relational Synthetic Data

    Sep 29, 2026Zilong Zhao, Abdul Raheem, Jiayu Li +5Synthetic Tabular DataSynthetic Data

    Betterdata AI · National University of Singapore · University of Illinois Urbana-Champaign +1

  30. Acceleration of Diffusion Language Model through Discrete Average Generator

    Sep 29, 2026Yidong Ouyang, Zhengyan Wan, Themis Haris +8Diffusion Language ModelsFew-Step Generation

    University of California, Los Angeles · Google · Work done as a research intern at Google

  31. Do Music Generative Models Understand Musical Qualities? Automatic Music Evaluation with Model-Intrinsic Signals

    Sep 29, 2026Xiaosha Li, Chun Liu, Ziyu WangSymbolic Music GenerationRater

    Georgia Institute of Technology · ByteDance Inc. · New York University · MBZUAI

  32. PE-OPSD: Internalizing Prompt Enhancement into Flow-matching Models via On-Policy Self-Distillation

    Sep 29, 2026Mingfeng Lin, Chengfei Cai, Lin Xu +3Text-To-ImageGenerative Models

    Harbin Institute of Technology (Shenzhen) · Zhejiang University · Peking University +1

  33. Where Should Physics Enter a Molecular Crystal Generator?

    Sep 28, 2026Haocheng Tang, Junmei Wang, Wengong JinCrystal StructureCrystal Structure Prediction

    Khoury College of Computer Science Northeastern University Boston, MA 02115, USA · School of Pharmacy University of Pittsburgh Pittsburgh, PA 15213, USA

  34. GeoVerse: World-Consistent Novel View Synthesis in Geometric Latent Space

    Sep 28, 2026Kerui Ren, Tao Lu, Linning Xu +5Novel View SynthesisGenerative Video Models

    Shanghai Jiao Tong University · Shanghai Artificial Intelligence Laboratory · The Chinese University of Hong Kong +3

  35. Simplex Diffusion Models

    Sep 28, 2026Justin Deschenaux, Alexandre Galashov, Andrew Campbell +4Diffusion ModelsGenerative Models

    Google DeepMind · EPFL · UCL Gatsby

  36. Improving Generative Model Self-Training with Geometrically Modified Outputs

    Sep 28, 2026Patrick Batsell, Thomas Walker, Richard BaraniukGenerative ModelsSelf-Supervised Learning

    Department of Electrical and Computer Engineering Rice University Houston, TX 77005, USA

  37. SolveEdit: Benchmarking Visual Problem Solving in Generative Models

    Sep 28, 2026Wenjie Shu, Yexin Liu, Harold Haodong Chen +9Visual GenerationVisual Reasoning

    ZODA · HKUST · UCAS +2

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

    Sep 28, 2026Jérémie Klinger, Raphaël Urfin, Giulio Biroli +1Generative ModelsLearning Dynamics

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

  39. Continuous Variational Synthesis

    Sep 28, 2026Alan N. Amin, Mattia G. Gollub, Andrei Slabodkin +2SynthesisGenerative Models

    JURA Bio, Inc. Boston, MA 02125, USA

  40. Mixed-Prior Decision Risk for Open-Set Recognition

    Sep 28, 2026L. A. Erlygin, P. D. Proskura, A. A. ZaytsevOpen-Set RecognitionUncertainty Score

    Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia · Risk Management, Sber, Moscow, Russia · The Institute for Information Transmission Problems (IITP RAS), Moscow, Russia

  41. FestDPO: Few-step Generator Alignment with Direct Preference Optimization

    Sep 28, 2026Jaewoo Lee, Kyuil Sim, Hyeongyu Kang +3Generative ModelsDiffusion Alignment

    KAIST · MongooseAI · Omelet

  42. Probabilistic Geodesic Flow Matching on Location-Scale Families

    Sep 28, 2026Zeyuan Yu, Zhi Chang, Shiwei LanRiemannian Flow MatchingDiscriminative Congruence Transform

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

  43. SAGE: Subspace Alignment for Classifier-Free Guidance in Mixture-of-Experts Diffusion Models

    Sep 28, 2026Boyu Zhang, Yangming Cheng, Ning Zhang +5Classifier-Free GuidanceGenerative Models

    Alibaba Token Hub, Alibaba Group

  44. HALO: Enhancing Time Series Generation via Hyperspherical Latents and Masked AutoregRessive Modeling

    Sep 28, 2026Chunyi Hou, Xiangfei Qiu, Hanyin Cheng +2Time-Series GenerationAutoregressive Generation

    School of Data Science and Engineering, East China Normal University, Shanghai, China

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

    Sep 28, 2026Rostislav Makarov, Tal Peer, Danilo de Oliveira +1Bayesian Inverse ProblemsInverse Problem

    Signal Processing University of Hamburg Hamburg, Germany

  46. Joint and Cross-Modal Video-Audio Generation and Editing: A Unified Formulation and Design Taxonomy

    Sep 28, 2026Abhinav Sharma, Sai Karthik Navuluru, Wang Wei +21Audio-Video GenerationAudio-Visual Consistency

    University of Massachusetts Amherst · University of Texas at Dallas · Virginia Tech +10

  47. ReGDiff: Guided Diffusion in Regulated Latent Space for Exploring Metamaterial Voxel Geometry

    Sep 28, 2026Wangzhi Zhan, Jianpeng Chen, Dongqi Fu +1MetamaterialsVoxel

    Department of Computer Science Virginia Tech Blacksburg, VA 24061 · Meta Menlo Park, CA 94025

  48. StatD2GAN: When Calibration Masks Generator Quality in Held-Out Evaluation of Synthetic Weather Sequences

    Sep 27, 2026Mustafa Ozaytac, Ozge Karadag AtasConditional GansGenerative Adversarial Network

    Department of Statistics, Graduate School of Science and Engineering, Hacettepe University, Ankara, 06800, Turkey · Department of Statistics, Faculty of Science, Hacettepe University, Ankara, 06800, Turkey

  49. Safety Reconstructed: Generative Modeling via Masked Diffusion Builds Strong Safety Guardrails

    Sep 27, 2026Gert Lek, Abele Malan, Chaoyi Zhu +3Large Language Model SafetyMasked Diffusion Language Models

    University of Neuchâtel · Delft University of Technology · IBM Research +1

  50. OOD Generalization as a Bifurcation Problem

    Sep 27, 2026Nguyen-Thanh-Luong Doan, Quang-Vu Nguyen, Tang-Phu-Quy Le +1Generative ModelsOut-Of-Distribution

    The University of Danang - Vietnam-Korea University of Information and Communication Technology

  51. Source Anchoring for Physical Consistency in Flow Matching Models

    Sep 27, 2026Giulia Romoli, Filippo Ruffini, Paolo SodaConditional Flow MatchingGenerative Models

    Department of Diagnostics and Intervention, Ume˚a University, Sweden · Unit of Artificial Intelligence and Computer Systems, Universit`a Campus Bio-Medico di Roma, Italy

  52. Pulseflow: PPG Counterfactual Generation Via Latent Transport

    Sep 27, 2026Hung Manh Pham, Dong Ma, Bin Zhu +1Remote PhotoplethysmographyGenerative Models

    University of Cambridge, United Kingdom

  53. Concept Score Relearning: A Unified Cross-Architecture Attack on Concept Erasure

    Sep 27, 2026Hong Xi Tae, Jiaming Zhang, Wenwen He +2Concept ErasureText-To-Image Diffusion Models

    College of Computing and Data Science, Nanyang Technological University, Singapore

  54. ChronoFlow: Hierarchical Flow Matching for Irregular Time Series Generation

    Sep 27, 2026Changhun Kim, Sunguk Jang, Jeongjun Lee +5Time-Series GenerationTime Series

    University of Wisconsin–Madison · AITRICS · KAIST

  55. DOHF: Online Diffusion Fine-tuning with Doob's hh-transform Guidance

    Sep 25, 2026Zhengyi Guo, Jiayuan Sheng, Wenpin Tang +1Diffusion ModelsGenerative Models

  56. Relative Mismatch: Local-Reference Calibration of Feature-Space Flows for Anomalous Sound Detection

    Sep 24, 2026Anbai Jiang, Xinhu Zheng, Lvxin Xu +6Sound Event DetectionUnsupervised Detection

    Tsinghua University · Shanghai Jiao Tong University · North China Electric Power University +1

  57. Off-manifold robustness in synthesizer inversion with joint distribution flow matching

    Sep 24, 2026Ben HayesModern Generative Audio ModelsSynthesizer

    Sony Computer Science Laboratories Paris

  58. Spot, Separate, and Enhance: Fully Generative Approach for Audio Mixing

    Sep 24, 2026Ilpo Viertola, Giulio Cengarle, Gouthaman KV +2Audio UnderstandingMix

    Dolby Laboratories · Tampere University

  59. The Past Frames the Future: Memory for Autoregressive Video Generation

    Sep 23, 2026Harold Haodong Chen, Rongjin Guo, Disen Lan +22Autoregressive Video GenerationCamera-Conditioned Video Generation

    HKUST

  60. Distillation for Efficient Multitask Manipulation Policies via Conditional Flow Matching

    Sep 23, 2026Shreya Deshmukh, Imen Mahdi, Nick Heppert +1Robotic Manipulation PoliciesConditional Flow Matching

    Department of Computer Science, University of Freiburg, Germany.