Andriy Mnih
Andriy Mnih
Research Scientist at DeepMind
Verified email at - Homepage
TitleCited byYear
Probabilistic matrix factorization
R Salakhutdinov, A Mnih
Advances in neural information processing systems 20, 1257-1264, 2008
Restricted Boltzmann machines for collaborative filtering
R Salakhutdinov, A Mnih, G Hinton
Proceedings of the 24th international conference on Machine learning, 791-798, 2007
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
R Salakhutdinov, A Mnih
Proceedings of the 25th international conference on Machine learning, 880-887, 2008
A scalable hierarchical distributed language model
A Mnih, GE Hinton
Advances in Neural Information Processing Systems 21, 1081-1088, 2009
Three new graphical models for statistical language modelling
A Mnih, G Hinton
Proceedings of the 24th international conference on Machine learning, 641-648, 2007
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
CJ Maddison, A Mnih, YW Teh
arXiv preprint arXiv:1611.00712, 2016
Neural Variational Inference and Learning in Belief Networks
A Mnih, K Gregor
arXiv preprint arXiv:1402.0030, 2014
A fast and simple algorithm for training neural probabilistic language models
A Mnih, YW Teh
Arxiv preprint arXiv:1206.6426, 2012
Learning word embeddings efficiently with noise-contrastive estimation
A Mnih, K Kavukcuoglu
Advances in Neural Information Processing Systems, 2265-2273, 2013
Deep autoregressive networks
K Gregor, I Danihelka, A Mnih, C Blundell, D Wierstra
Proceedings of the 31st International Conference on Machine Learning (ICMLá…, 2014
Disentangling by factorising
H Kim, A Mnih
arXiv preprint arXiv:1802.05983, 2018
Variational inference for monte carlo objectives
A Mnih, DJ Rezende
arXiv preprint arXiv:1602.06725, 2016
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models
G Tucker, A Mnih, CJ Maddison, J Lawson, J Sohl-Dickstein
Advances in Neural Information Processing Systems, 2624-2633, 2017
Visualizing similarity data with a mixture of maps
J Cook, I Sutskever, A Mnih, G Hinton
Artificial Intelligence and Statistics, 67-74, 2007
MuProp: Unbiased Backpropagation for Stochastic Neural Networks
S Gu, S Levine, I Sutskever, A Mnih
arXiv preprint arXiv:1511.05176, 2015
Filtering Variational Objectives
CJ Maddison, D Lawson, G Tucker, N Heess, M Norouzi, A Mnih, ...
arXiv preprint arXiv:1705.09279, 2017
Implicit reparameterization gradients
M Figurnov, S Mohamed, A Mnih
Advances in Neural Information Processing Systems, 441-452, 2018
Improving a statistical language model through non-linear prediction
A Mnih, Z Yuecheng, G Hinton
Neurocomputing 72 (7-9), 1414-1418, 2009
Variational memory addressing in generative models
J Bornschein, A Mnih, D Zoran, DJ Rezende
Advances in Neural Information Processing Systems, 3920-3929, 2017
Taxonomy-informed latent factor models for implicit feedback
A Mnih
KDD-Cup, 2011
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