Concepedia

Normalizing Flows

Normalizing Flows is a generative modeling method that constructs complex probability distributions through a sequence of invertible transformations applied to a simple base distribution, enabling tractable density estimation via the change-of-variable formula.

280

Publications

20.6K

Citations

851

Authors

310

Institutions

Publications per year

2017–2026

272

Parents

Publications

280

Diffusion Models in Vision: A Survey

Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023 · 1.6K citations

, , +15

Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

Ya Su, Youjian Zhao, Chenhao Niu et al. · 2019 · 1.5K citations

, , +15

Variational Inference with Normalizing Flows

Danilo Jimenez Rezende, Shakir Mohamed · arXiv (Cornell University) · 2015 · 1.4K citations · Full text

, , +16

Normalizing Flows: An Introduction and Review of Current Methods

Ivan Kobyzev, Simon J. D. Prince, Marcus A. Brubaker · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2020 · 1.2K citations · Full text

, , +10

Improved Variational Inference with Inverse Autoregressive Flow

Durk Kingma, Tim Salimans, Rafał Józefowicz et al. · Neural Information Processing Systems · 2016 · 812 citations

, , +15

1–5 of 280

Authors

851

  1. MW
    Max Welling

    University of Amsterdam, Netherlands

    14 publications · 1.6K citations

    14

    h-index

  2. DS
    David Shih

    Rutgers, The State University of New Jersey, United States

    10 publications · 374 citations

    10

    h-index

  3. CK
    Claudius Krause

    Rutgers, The State University of New Jersey, United States

    11 publications · 662 citations

    10

    h-index

  4. LD
    Laurent Dinh

    Université de Montréal, Canada

    9 publications · 356 citations

    9

    h-index

  5. GP
    George Papamakarios

    University of Edinburgh, United Kingdom

    7 publications · 689 citations

    7

    h-index

1–5 of 851

Institutions

310

  1. Google (United States)

    Mountain View, United States

    12 h-index

    49 publications

    5.7K citations

  2. Heidelberg University

    Heidelberg, Germany

    10 h-index

    29 publications

    1K citations

  3. University of California, Berkeley

    Berkeley, United States

    10 h-index

    14 publications

    435 citations

  4. University of Edinburgh

    Edinburgh, United Kingdom

    9 h-index

    20 publications

    858 citations

  5. Freie Universität Berlin

    Berlin, Germany

    8 h-index

    23 publications

    833 citations

  6. University of Amsterdam

    Amsterdam, The Netherlands

    8 h-index

    22 publications

    1.3K citations

  7. Stanford University

    Stanford, United States

    7 h-index

    16 publications

    353 citations

  8. Rutgers, The State University of New Jersey

    New Brunswick, United States

    7 h-index

    23 publications

    720 citations

1–8 of 310

Venues

  1. arXiv (Cornell University)

    Repository · 112 publications · 6.3K citations

    36

    h-index

  2. Physical review. D/Physical review. D.

    PRD · 22 publications · 1.2K citations

    19

    h-index

  3. Neural Information Processing Systems

    Conference · 5 publications · 924 citations

    5

    h-index

  4. SciPost Physics

    5 publications · 229 citations

    5

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 524 citations

    4

    h-index

1–5