Concepedia

Amortized Inference

Amortized Inference is a methodological framework within simulation-based inference that enables efficient posterior estimation by learning a global approximation to the inference process, thereby amortizing the computational cost across multiple observations.

81

Publications

4.8K

Citations

253

Authors

113

Institutions

Publications per year

2017–2026

72

Parents

Publications

81

Variational Inference with Normalizing Flows

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

, , +16

InfoVAE: Information Maximizing Variational Autoencoders

Shengjia Zhao, Jiaming Song, Stefano Ermon · arXiv (Cornell University) · 2017 · 371 citations · Full text

, , +16

InfoVAE: Balancing Learning and Inference in Variational Autoencoders

Shengjia Zhao, Jiaming Song, Stefano Ermon · Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · 275 citations · Full text

, , +16

BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks

Stefan T. Radev, Ulf K. Mertens, Lynton Ardizzone et al. · IEEE Transactions on Neural Networks and Learning Systems · 2020 · 222 citations

, , +14

Amortized Inference in Probabilistic Reasoning

Samuel J. Gershman, Noah D. Goodman · eScholarship (California Digital Library) · 2014 · 216 citations · Full text

, , +16

1–5 of 81

Authors

253

  1. ND
    Noah D. Goodman

    Stanford University, United States

    10 publications · 506 citations

    10

    h-index

  2. SE
    Stefano Ermon

    Stanford University, United States

    7 publications · 735 citations

    7

    h-index

  3. SZ
    Shengjia Zhao

    Stanford University, United States

    4 publications · 724 citations

    4

    h-index

  4. ST
    Stefan T. Radev

    Heidelberg University, Germany

    4 publications · 281 citations

    4

    h-index

  5. YW
    Yee Whye Teh

    University of Oxford, United Kingdom

    4 publications · 111 citations

    4

    h-index

1–5 of 253

Institutions

113

  1. Stanford University

    Stanford, United States

    12 h-index

    35 publications

    1.9K citations

  2. Google (United States)

    Mountain View, United States

    7 h-index

    8 publications

    208 citations

  3. University of Oxford

    Oxford, United Kingdom

    7 h-index

    16 publications

    494 citations

  4. University of Cambridge

    Cambridge, United Kingdom

    5 h-index

    9 publications

    184 citations

  5. Google DeepMind (United Kingdom)

    London, United Kingdom

    4 h-index

    17 publications

    3.3K citations

  6. Columbia University

    New York, United States

    3 h-index

    5 publications

    86 citations

  7. University of Amsterdam

    Amsterdam, The Netherlands

    3 h-index

    4 publications

    144 citations

  8. Harvard University Press

    Cambridge, United States

    3 h-index

    6 publications

    425 citations

1–8 of 113

Venues

  1. arXiv (Cornell University)

    Repository · 28 publications · 2.7K citations

    19

    h-index

  2. Neural Information Processing Systems

    Conference · 6 publications · 104 citations

    6

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 334 citations

    4

    h-index

  4. Cambridge University Engineering Department Publications Database

    Repository · 2 publications · 34 citations

    2

    h-index

  5. IEEE Signal Processing Letters

    1 publications · 26 citations

    1

    h-index

1–5