--- title: "Andriy Mnih · Google DeepMind — author profile and papers" description: "Andriy Mnih, Google DeepMind: 2 papers on Elamur Research (2012–2016), h-index 21 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/andriy-mnih/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/andriy-mnih/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Andriy Mnih # Andriy Mnih Andriy Mnih has 2 papers in our library, in 2012–2016, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Yee Whye Teh](https://md.research.elamur.ai/free/en/authors/yee-whye-teh/), [Chris J. Maddison](https://md.research.elamur.ai/free/en/authors/chris-j-maddison/). 2 papers in our library · 2012–2016 [OpenAlex](https://openalex.org/A5079370148) · [**h-index 21**](https://openalex.org/authors/A5079370148) · [49 works](https://openalex.org/works?filter=author.id:A5079370148) · [12,925 citations](https://openalex.org/works?filter=author.id:A5079370148&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/andriy-mnih/#papers) · [🔗 Cited 590 times in our library](https://md.research.elamur.ai/free/en/authors/andriy-mnih/cited-by/) · [8 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1604](https://md.research.elamur.ai/free/en/paper-stars/page/17/#star-1604) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Andriy+Mnih) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Andriy+Mnih) · [dblp](https://dblp.org/search?q=Andriy+Mnih) · [ACL Anthology](https://aclanthology.org/search/?q=Andriy+Mnih) ## Affiliations [🏢**Google DeepMind** London · United Kingdom 2013–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🏢**Google** London · United Kingdom 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/google-united-kingdom/) · [🏢**Google** Mountain View · United States 2015–2021 · 13 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**University of Toronto** Toronto · Canada 2003–2010 · 9 papers](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) · [🔬**Gatsby Computational Neuroscience Unit** London · United Kingdom 2011–2012 · 3 papers](https://ror.org/0269epf40) · [🎓**University College London** London · United Kingdom 2011–2012 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-college-london/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2010s [**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/andriy-mnih/year/2016/) · [**2012** 1 paper](https://md.research.elamur.ai/free/en/authors/andriy-mnih/year/2012/) ## Papers The most cited first (OpenAlex and our library). 1. **[The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables](https://md.research.elamur.ai/free/en/papers/maddison-2016-concrete-distribution-continuous-relaxation-discrete/)** *(2016 · 1,629 citations)* Gradient-based training of models with random choices works well when each random node can be rewritten as a differentiable function of its parameters plus fixed noise. 2. **[A Fast and Simple Algorithm for Training Neural Probabilistic Language Models](https://md.research.elamur.ai/free/en/papers/mnih-2012-fast-simple-algorithm-training-neural/)** *(2012 · 408 citations)* Neural probabilistic language models (NPLMs) tend to beat n-gram models, but they are slow to train. The softmax normalization forces every gradient step to score the entire vocabulary. Mnih and Teh adapt noise-contrastive estimation (NCE), introduced by Gutmann and Hyvärinen for unnormalized densities, to discrete… ## All works 10 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Probabilistic Matrix Factorization ↗](https://openalex.org/W2137245235) neural information processing systems · no summary yet**Andriy Mnih, Ruslan Salakhutdinov*2007 · 3,483 citations* 2. **[Restricted Boltzmann machines for collaborative filtering ↗](https://doi.org/10.1145/1273496.1273596) International Conference on Machine Learning · no summary yet**Ruslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hinton*2007 · 1,865 citations* 3. [**The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables arXiv:1611.00712**Chris J. Maddison, Andriy Mnih, Yee Whye Teh*2016 · 1,629 citations*](https://md.research.elamur.ai/free/en/papers/maddison-2016-concrete-distribution-continuous-relaxation-discrete/) 4. **[Bayesian probabilistic matrix factorization using Markov chain Monte Carlo ↗](https://doi.org/10.1145/1390156.1390267) International Conference on Machine Learning · no summary yet**Ruslan Salakhutdinov, Andriy Mnih*2008 · 1,437 citations* 5. **[Learning word embeddings efficiently with noise-contrastive estimation ↗](https://openalex.org/W2097732278) neural information processing systems · no summary yet**Andriy Mnih, Koray Kavukcuoglu*2013 · 505 citations* 6. [**A Fast and Simple Algorithm for Training Neural Probabilistic Language Models arXiv:1206.6426 · In Proceedings of the 29th International Conference on Machine Learning, pages 1751-1758, 2012**Andriy Mnih, Yee Whye Teh*2012 · 408 citations*](https://md.research.elamur.ai/free/en/papers/mnih-2012-fast-simple-algorithm-training-neural/) 7. **[Attentive Neural Processes ↗](https://arxiv.org/abs/1901.05761) arXiv (Cornell University) · no summary yet**Hyunjik Kim et al.*2019 · 33 citations* 8. **[Wormholes Improve Contrastive Divergence ↗](https://openalex.org/W2148186262) no summary yet**Max Welling, Andriy Mnih, Geoffrey E. Hinton*2003 · 12 citations* 9. **[Learning word embeddings efficiently with noise-contrastive ↗](https://openalex.org/W7098398046) no summary yet**Andriy Mnih, Koray Kavukcuoglu*2014* 10. **[Bayesian probabilistic matrix factorization using MCMC ↗](https://openalex.org/W7095168924) no summary yet**Ruslan Salakhutdinov, Andriy Mnih*2008* ## Co-authors here 2 co-authors with a page, the most papers together first. - [Yee Whye Teh](https://md.research.elamur.ai/free/en/authors/yee-whye-teh/) ×2 - [Chris J. Maddison](https://md.research.elamur.ai/free/en/authors/chris-j-maddison/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - International Conference on Machine Learning ×2 - neural information processing systems ×2 ## Cited by Papers of our library cite their works 590 times (of the 149,439 papers whose bibliographies we read); [48 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/andriy-mnih/cited-by/). Updated 2 November 2026