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Andriy Mnih

Active 2003–2026

42
Papers
19,033
Citations
26
h-index
34
i10-index

Citations

Citations per year for Andriy Mnih1967: 1 citations1997: 1 citations2000: 1 citations2003: 1 citations2005: 2 citations2006: 1 citations2007: 15 citations2008: 36 citations2009: 64 citations2010: 123 citations2011: 168 citations2012: 197 citations2013: 342 citations2014: 524 citations2015: 709 citations2016: 762 citations2017: 910 citations2018: 1,048 citations2019: 1,230 citations2020: 1,339 citations2021: 1,148 citations2022: 610 citations2023: 492 citations2024: 359 citations2025: 229 citations2026: 85 citations1968–1996: no citations, so these years are not shown1998–1999: no citations, so these years are not shown2001–2002: no citations, so these years are not shown2004: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,010 citing papers, 28.4% of this breakdownUnited States: 2,275 citing papers, 21.5% of this breakdownUnited Kingdom: 667 citing papers, 6.3% of this breakdownAustralia: 462 citing papers, 4.4% of this breakdownCanada: 386 citing papers, 3.7% of this breakdownHong Kong: 310 citing papers, 2.9% of this breakdownGermany: 287 citing papers, 2.7% of this breakdownJapan: 256 citing papers, 2.4% of this breakdownIndia: 246 citing papers, 2.3% of this breakdownFrance: 242 citing papers, 2.3% of this breakdownSingapore: 234 citing papers, 2.2% of this breakdownSouth Korea: 206 citing papers, 2% of this breakdown
0%28.4%Other 18.9%

Institutions

Fields

  • Computer Science83.9%
  • Engineering4.8%
  • Physics and Astronomy2%
  • Social Sciences2%
  • Mathematics1.6%
  • Biochemistry, Genetics and Molecular Biology1.3%
  • Other4.4%

Topics

  • Recommender Systems and Techniques12%
  • Topic Modeling7.7%
  • Advanced Graph Neural Networks4.5%
  • Natural Language Processing Techniques4.1%
  • Generative Adversarial Networks and Image Synthesis3.4%
  • Domain Adaptation and Few-Shot Learning2.5%
  • Other65.8%

Coauthors

All papers

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  1. The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

    Authors: Chris J. Maddison, Andriy Mnih, Yee Whye Teh - ICLR (Poster) 2016 cited by 2,959

  2. Probabilistic Matrix Factorization

    Authors: Ruslan Salakhutdinov, Andriy Mnih - Neural Information Processing Systems, NIPS 2007 cited by 4,827

  3. Attentive Neural Processes

    Authors: Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh - ICLR (Poster) 2019 cited by 543

  4. Bayesian probabilistic matrix factorization using Markov chain Monte Carlo

    Authors: Ruslan Salakhutdinov, Andriy Mnih - conference on Machine learning - ICML '08 2008 cited by 1,453

  5. Restricted Boltzmann machines for collaborative filtering

    Authors: Ruslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hinton - conference on Machine learning, ICML 2007 cited by 1,882

  6. Disentangling by Factorising

    Authors: Hyunjik Kim, Andriy Mnih - International Conference on Machine Learning, ICML 2018 cited by 1,574

  7. Monte Carlo Gradient Estimation in Machine Learning

    Authors: Shakir Mohamed, Mihaela Rosca, Michael Figurnov, Andriy Mnih - J. Mach. Learn. Res. 2020 cited by 92

  8. Q-Learning in enormous action spaces via amortized approximate maximization

    Authors: Tom Van de Wiele, David Warde-Farley, Andriy Mnih, Volodymyr Mnih - arXiv (Cornell University), CoRR 2020 cited by 44

  9. A fast and simple algorithm for training neural probabilistic language models

    Authors: Andriy Mnih, Yee Whye Teh - ICML 2012 cited by 589

  10. Three new graphical models for statistical language modelling

    Authors: Andriy Mnih, Geoffrey E. Hinton - conference on Machine learning, ICML 2007 cited by 582

  11. Implicit Reparameterization Gradients

    Authors: Mikhail Figurnov, Shakir Mohamed, Andriy Mnih - Neural Information Processing Systems, NeurIPS 2018 cited by 269

  12. Learning word embeddings efficiently with noise-contrastive estimation

    Authors: Andriy Mnih, Koray Kavukcuoglu - Neural Information Processing Systems, NIPS 2013 cited by 641

  13. Compositional Score Modeling for Simulation-Based Inference

    Authors: Tomas Geffner, George Papamakarios, Andriy Mnih - ICML 2023 cited by 56

  14. The Lipschitz Constant of Self-Attention

    Authors: Hyunjik Kim, George Papamakarios, Andriy Mnih - International Conference on Machine Learning, ICML 2021 cited by 232

  15. Schrodinger Bridge Flow for Unpaired Data Translation

    Authors: Valentin De Bortoli, Iryna Korshunova, Andriy Mnih, Arnaud Doucet - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 51

  16. Variational Inference for Monte Carlo Objectives

    Authors: Andriy Mnih, Danilo Jimenez Rezende - International Conference on Machine Learning, ICML 2016 cited by 312

  17. REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models

    Authors: George Tucker, Andriy Mnih, Chris J. Maddison, Dieterich Lawson, Jascha Sohl-Dickstein - ICLR (Workshop) 2017 cited by 304

  18. A Scalable Hierarchical Distributed Language Model

    Authors: Andriy Mnih, Geoffrey E. Hinton - http://www.cs.toronto.edu/%7Eamnih/papers/hlbl_final.pdf, NIPS 2008 cited by 1,027

  19. MuProp: Unbiased Backpropagation for Stochastic Neural Networks

    Authors: Shixiang Gu, Sergey Levine, Ilya Sutskever, Andriy Mnih - ICLR (Poster) 2016 cited by 48

  20. Sparse Orthogonal Variational Inference for Gaussian Processes

    Authors: Jiaxin Shi, Michalis K. Titsias, Andriy Mnih - AISTATS 2020 cited by 7

  21. Neural Variational Inference and Learning in Belief Networks

    Authors: Andriy Mnih, Karol Gregor - ICML 2014 cited by 735

  22. Filtering Variational Objectives

    Authors: Chris J. Maddison, Dieterich Lawson, George Tucker, Nicolas Heess, Mohammad Norouzi, Andriy Mnih, Arnaud Doucet, Yee Whye Teh - NIPS 2017 cited by 231

  23. Unbiased Gradient Estimation with Balanced Assignments for Mixtures of Experts

    Authors: Wouter Kool, Chris J. Maddison, Andriy Mnih - arXiv (Cornell University), CoRR 2021 cited by 3

  24. Resampled Priors for Variational Autoencoders

    Authors: Matthias Bauer, Andriy Mnih - AISTATS 2019 cited by 122