Andriy Mnih
- Computational Mathematics top 1%
- Information Systems top 0.05%
- Recommender Systems and Techniques 4
- Artificial Intelligence top 0.2%
- Topic Modeling 12
- Speech Recognition and Synthesis 7
- Natural Language Processing Techniques 6
- Gaussian Processes and Bayesian Inference 5
- Domain Adaptation and Few-Shot Learning 3
- Adversarial Robustness in Machine Learning 2
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- Generative Adversarial Networks and Image Synthesis 8
- Transportation top 1%
- Co-authors
- Ruslan SalakhutdinovGeoffrey E. HintonKoray KavukcuogluYee Whye TehKarol GregorHyunjik KimDanilo Jimenez RezendeIvo Danihelka
- Journals
- Neurocomputing (1 paper)Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. (1 paper)International Conference on Machine Learning (3 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Andriy Mnih
23 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Computational Mathematics 128
- Information Systems 3.4k
- Artificial Intelligence 3.8k
- Computer Vision and Pattern Recognition 1.9k
- Transportation 454
Countries citing papers authored by Andriy Mnih
This map shows the geographic impact of Andriy Mnih's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andriy Mnih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andriy Mnih more than expected).
Fields of papers citing papers by Andriy Mnih
This network shows the impact of papers produced by Andriy Mnih. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andriy Mnih. The network helps show where Andriy Mnih may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Andriy Mnih, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Lipschitz Constant of Self-Attention | 2021 | 1 |
| 2 | DisARM: An Antithetic Gradient Estimator for Binary Latent Variables | 2020 | 0 |
| 3 | Implicit Reparameterization Gradients | 2018 | 16 |
| 4 | Disentangling by Factorising | 2018 | 93 |
| 5 | Variational Memory Addressing in Generative Models | 2017 | 4 |
| 6 | 2017 | 2 | |
| 7 | Variational inference for Monte Carlo objectives | 2016 | 31 |
| 8 | Learning word embeddings efficiently with noise-contrastive estimation | 2013 | 262 |
| 9 | Learning Label Trees for Probabilistic Modelling of Implicit Feedback | 2012 | 6 |
| 10 | 2012 | 199 | |
| 11 | Taxonomy-informed latent factor models for implicit feedback | 2011 | 10 |
| 12 | Improving a statistical language model by modulating the effects of context words | 2008 | 1 |
| 13 | A Scalable Hierarchical Distributed Language Modelbreakdown → | 2008 | 493 |
| 14 | Bayesian probabilistic matrix factorization using Markov chain Monte Carlobreakdown → | 2008 | 974 |
| 15 | Probabilistic Matrix Factorizationbreakdown → | 2007 | 2426 |
| 16 | Visualizing Similarity Data with a Mixture of Maps | 2007 | 45 |
| 17 | Three new graphical models for statistical language modellingbreakdown → | 2007 | 336 |
| 18 | Restricted Boltzmann machines for collaborative filteringbreakdown → | 2007 | 1148 |
| 19 | 2006 | 8 | |
| 20 | Wormholes Improve Contrastive Divergence | 2003 | 9 |
About Andriy Mnih
Andriy Mnih is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Science Applications and Information Systems, having authored 24 papers that have together received 6.3k indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Generative Adversarial Networks and Image Synthesis (8 papers), Speech Recognition and Synthesis (7 papers), Natural Language Processing Techniques (6 papers), Gaussian Processes and Bayesian Inference (5 papers), Recommender Systems and Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Computational Mathematics (128 citations), Information Systems (3.4k citations), Artificial Intelligence (3.8k citations), Computer Vision and Pattern Recognition (1.9k citations) and Transportation (454 citations). Andriy Mnih has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Ruslan Salakhutdinov, Geoffrey E. Hinton, Koray Kavukcuoglu, Yee Whye Teh, Karol Gregor, Hyunjik Kim, Danilo Jimenez Rezende, Ivo Danihelka, Charles Blundell and Ilya Sutskever. Their work appears in journals such as Neurocomputing, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005., International Conference on Machine Learning, arXiv (Cornell University) and Neural Information Processing Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.