Concepedia

Implicit Generative Models

Implicit Generative Models is a type of generative model that learns the data distribution through an implicit sampling process without explicitly defining a probability density function.

66

Publications

5.5K

Citations

211

Authors

84

Institutions

Publications per year

2017–2026

61

Variants

Implicit Generative Model

Parents

Publications

66

Learning Implicit Fields for Generative Shape Modeling

Zhiqin Chen, Hao Zhang · 2019 · 1.5K citations

, , +13

MolGAN: An implicit generative model for small molecular graphs

Nicola De Cao, Thomas Kipf · arXiv (Cornell University) · 2018 · 477 citations · Full text

, , +14

A comprehensive survey and analysis of generative models in machine learning

Harshvardhan GM, Mahendra Kumar Gourisaria, Manjusha Pandey et al. · Computer Science Review · 2020 · 424 citations

, , +16

Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity

Bernhard Nessler, Michael Pfeiffer, Lars Buesing et al. · PLoS Computational Biology · 2013 · 298 citations · Full text

, , +17

Differentiable learning of quantum circuit Born machines

Jin-Guo Liu, Lei Wang · Physical review. A/Physical review, A · 2018 · 282 citations · Full text

, , +16

1–5 of 66

Authors

211

  1. CL
    Chunliang Li

    St. Jude Children's Research Hospital, United States

    6 publications · 164 citations

    6

    h-index

  2. BP
    Barnabás Póczos

    Carnegie Mellon University, United States

    6 publications · 164 citations

    6

    h-index

  3. MZ
    Manzil Zaheer

    Carnegie Mellon University, United States

    3 publications · 104 citations

    3

    h-index

  4. OK
    Oluwasanmi Koyejo

    Stanford University, United States

    3 publications · 76 citations

    3

    h-index

  5. RS
    Ruslan Salakhutdinov

    Carnegie Mellon University, United States

    3 publications · 98 citations

    3

    h-index

1–5 of 211

Institutions

84

  1. Google (United States)

    Mountain View, United States

    5 h-index

    12 publications

    383 citations

  2. Amazon (United States)

    Seattle, United States

    3 h-index

    3 publications

    94 citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    3 h-index

    10 publications

    297 citations

  4. Université de Montréal

    Montreal, Canada

    3 h-index

    7 publications

    193 citations

  5. Technical University of Munich

    Munich, Germany

    2 h-index

    7 publications

    349 citations

  6. Zhejiang University

    Hangzhou, China

    2 h-index

    5 publications

    102 citations

  7. Chinese University of Hong Kong

    Hong Kong, Hong Kong

    2 h-index

    7 publications

    245 citations

  8. École Normale Supérieure Paris-Saclay

    Gif-sur-Yvette, France

    2 h-index

    2 publications

    52 citations

1–8 of 84

Venues

  1. arXiv (Cornell University)

    Repository · 34 publications · 2.1K citations

    21

    h-index

  2. PLoS Computational Biology

    2 publications · 320 citations

    2

    h-index

  3. Royal Society Open Science

    1 publications · 12 citations

    1

    h-index

  4. Physical review. A/Physical review, A

    PRA · 1 publications · 282 citations

    1

    h-index

  5. International Conference on Machine Learning

    Conference · 1 publications · 49 citations

    1

    h-index

1–5