Generative Modeling

Follow this topic Ask about this topic

Momentum

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

Jul 13Week of Sep 28

Latest papers 347

All topics

A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models
May 7, 2026Aditya Ranganath, Mukesh SinghalFlow Matching Generative Modeling
Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore, CA 94551, USA · Department of Electrical Engineering University of California Merced, CA 95343, USA
BRICKS: Compositional Neural Markov Kernels for Zero-Shot Radiation-Matter Simulation
May 7, 2026Richard Hildebrandt, Evangelos Kourlitis, Baran Hashemi +7Neural Surrogate Modeling Riemannian Flow Matching
Technical University of Munich · Max-Planck Institute for Mathematics in the Sciences, Leipzig, Germany · SLAC National Accelerator Laboratory +3
SymDrift: One-Shot Generative Modeling under Symmetries
May 7, 2026Samir Darouich, Vinh Tong, Lluís Pastor-Pérez +3One-Step Generative Modeling Generative Modeling
Institute of Artificial Intelligence Institute of Theoretical Chemistry University of Stuttgart
Spherical Flows for Sampling Categorical Data
May 7, 2026Jannis Chemseddine, Gregor Kornhardt, Gabriele SteidlFlow Matching Synthetic Data Generation
Technische Universität Berlin
On the Wasserstein Gradient Flow Interpretation of Drifting Models
May 6, 2026Arthur Gretton, Li Kevin Wenliang, Alexandre Galashov +3Wasserstein Gradient Flows Generative Modeling
Google DeepMind
Self-Improvement for Fast, High-Quality Plan Generation
May 5, 2026Robert Gieselmann, Henrike von Huelsen, Mihai Samson +9Symbolic Planning Generative Modeling
Amazon
PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics
May 5, 2026Hao Zhou, Rui Zhang, Han Wan +1Physics-Informed Generative Modeling Uncertainty Quantification
Gaoling School of Artificial Intelligence, Renmin University of China
A-CODE: Fully Atomic Protein Co-Design with Unified Multimodal Diffusion
May 5, 2026Chaoran Cheng, Jiaqi Guan, Milong Ren +5Generative Modeling Molecular Generation
University of Illinois Urbana-Champaign · 2ByteDance Seed
Fine-Grained Graph Generation through Latent Mixture Scheduling
May 4, 2026Nidhi Vakil, Hadi AmiriGraph Generation Generative Modeling
Department of Computer Science University of Massachusetts Lowell
Generative Modeling with Orbit-Space Particle Flow Matching
May 4, 2026Sinan Wang, Jinjin He, Shenyifan Lu +3Flow Matching One-Step Generative Modeling
Georgia Institute of Technology, USA
Runtime Evaluation of Procedural Content Generation in an Endless Runner Game Using Autonomous Agents
May 3, 2026Rishabh KarGenerative Modeling Procedural Content Generation
Department of Informatics King’s College London London, United Kingdom
Missingness-aware Data Imputation via AI-powered Bayesian Generative Modeling
May 3, 2026Qiao LiuIncomplete Data Imputation Uncertainty Quantification
Department of Biostatistics Yale University
Barriers to Counterfactual Credit Attribution for Autoregressive Models
May 2, 2026Aloni Cohen, Chenhao ZhangGenerative Modeling Counterfactual Credit Assignment
Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems
May 1, 2026Mengke Zhao, Guang-Xing Li, Duo Xu +1Generative Modeling Generative AI Evaluation
School of Astronomy and Space Science, Nanjing University, 163 Xianlin Avenue, Nanjing 210023, Jiangsu, People’s Republic of China · Key Laboratory of Modern Astronomy and Astrophysics (Nanjing University), Ministry of Education, Nanjing 210023, Jiangsu, People’s Republic of China · South-Western Institute for Astronomy Research, Yunnan University, Kunming 650091, People’s Republic of China +1
Proteo-R1: Reasoning Foundation Models for De Novo Protein Design
May 1, 2026Fang Wu, Weihao Xuan, Heli Qi +26Generative Modeling 3D Molecular Generation
Stanford University
When Do Diffusion Models learn to Generate Multiple Objects?
Apr 30, 2026Yujin Jeong, Arnas Uselis, Iro Laina +2T2I Generation Compositional Image Generation
TU Darmstadt & hessian.AI · University of Tübingen · Visual Geometry Group, University of Oxford +1
Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling
Apr 30, 2026Keming Wu, Zuhao Yang, Kaichen Zhang +24World Models Generative Modeling
1Tsinghua University · 12LMMs-Lab · 2Nanyang Technological University +9
From LLM-Driven Trading Card Generation to Procedural Relatedness: A Pokémon Case Study
Apr 30, 2026Johannes Pfau, Panagiotis VrettisGenerative Modeling Procedural Content Generation
Utrecht University · Utrecht, Netherlands
AMGenC: Generating Charge Balanced Amorphous Materials
Apr 30, 2026Yan Lin, Jilin Hu, N. M. Anoop Krishnan +1Materials Science Generative Modeling
Department of Computer Science, Aalborg University, Denmark · School of Data Science and Engineering, East China Normal University, China · Department of Civil Engineering, Indian Institute of Technology Delhi, India +2
ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space
Apr 30, 2026Gabe Guo, Thanawat Sornwanee, Lutong Hao +3Autoregressive Diffusion Generative Modeling
Stanford University
How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance
Apr 29, 2026Jerry Y. Huang, Justin Lin, Sheel Shah +2Generative Modeling Flow-Based Generative Modeling
Carnegie Mellon University
From World-Gen to Quest-Line: A Dependency-Driven Prompt Pipeline for Coherent RPG Generation
Apr 28, 2026Dominik Borawski, Marta Szulc, Robert Chudy +2LLM Prompting Generative Modeling
Gda´nsk University of Technology
EVT-Based Generative AI for Tail-Aware Channel Estimation
Apr 27, 2026Parmida Valiahdi, Niloofar Mehrnia, Walid Saad +1Synthetic Data Augmentation Wireless Communications
∗Department of Electrical and Electronics Engineering, Koc University, Istanbul, Turkey · †Department of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden · ‡Department of Electrical and Computer Engineering, Virginia Tech, Virginia, United States
CoreFlow: Low-Rank Matrix Generative Models
Apr 27, 2026Dongze Wu, Linglingzhi Zhu, Yao XieGenerative Modeling Continuous Normalizing Flows
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA
Identifiability and Stability of Generative Drifting with Companion-Elliptic Kernel Families
Apr 27, 2026HakGeun Lee, Hyonho ChunGenerative Modeling Convergence Analysis
Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
FlowPlace: Flow Matching for Chip Placement
Apr 26, 2026Peng Xie, Ke Xue, Yunqi Shi +6Constrained Generative Modeling Flow Matching
1State Key Laboratory of Novel Software Technology, Nanjing University, China · School of Artificial Intelligence, Nanjing University, China · 3Huawei Noah’s Ark Lab, China
GeoFunFlow-3D: A Physics-Guided Generative Flow Matching Framework for High-Fidelity 3D Aerodynamic Inference over Complex Geometries
Apr 25, 2026Ruiling Jiang, Yong Zhang, Houbiao LiPDE Surrogate Modeling Generative Modeling
School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, China
BrickNet: Graph-Backed Generative Brick Assembly
Apr 24, 2026Peter Kulits, Cordelia SchmidConstrained Generative Modeling 3D Asset Generation
Inria, `Ecole Normale Sup`erieure, CNRS, PSL Research University · Max Planck Institute for Intelligent Systems, Tübingen
Quotient-Space Diffusion Models
Apr 23, 2026Yixian Xu, Yusong Wang, Shengjie Luo +4Generative Modeling 3D Molecular Generation
State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China · State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University · Zhongguancun Academy, Beijing, China +2
Materialistic RIR: Material Conditioned Realistic RIR Generation
Apr 22, 2026Mahnoor Fatima Saad, Sagnik Majumder, Kristen Grauman +1Generative Modeling Conditional Generative Modeling
University of Utah · UT Austin

May 7, 2026, cs.LGJ/K move · Enter open · S save

A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models

Aditya Ranganath, Mukesh Singhal

Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore, CA 94551, USA · Department of Electrical Engineering University of California Merced, CA 95343, USA

Flow Matching Generative Modeling Flow-Based Generative Modeling Score-Based Generative Modeling Diffusion Models

Open paper AskPDF arXiv

We survey continuous-time generative modeling methods based on transporting a simple reference distribution to a data distribution via stochastic or deterministic dynamics. We present a unified framework in which diffusion models, score-based generative models, and flow matching are instances of learning a time-dependent vector field that induces a family of marginals

(ρ_t)_{t \in [0,1]}

governed by continuity and Fokker-Planck equations. Such a unified theory is timely because these methods are converging methodologically, yet fragmented notation and competing derivations continue to obscure their shared structure and the practical tradeoffs governing sampling, stability, and computation. Within this framework, we (i) derive reverse-time sampling for diffusion and score-based models as controlled stochastic dynamics, (ii) show that the probability flow ODE yields identical marginals and connects diffusion to likelihood-based normalizing flows, and (iii) interpret flow matching as direct regression of the velocity field under a chosen interpolation, clarifying when it coincides with or differs from score-based training. We compare objectives, sampling schemes, and discretization errors under unified notation, discuss connections to Schrodinger bridges and entropic optimal transport, and summarize theoretical guarantees and open problems on approximation, stability, and scalability.

Momentum

Related topics

Latest papers 347