Travelled to:1 × China
1 × Finland
1 × USA
1 × United Kingdom
Collaborated with:R.Salakhutdinov G.E.Hinton K.Gregor Y.W.Teh I.Danihelka C.Blundell D.Wierstra
Talks about:model (3) probabilist (2) network (2) languag (2) neural (2) boltzmann (1) algorithm (1) restrict (1) collabor (1) bayesian (1)
Person: Andriy Mnih
DBLP: Mnih:Andriy
Contributed to:
2014201220082007Wrote 6 papers:
- ICML-c2-2014-GregorDMBW #network
- Deep AutoRegressive Networks (KG, ID, AM, CB, DW), pp. 1242–1250.
- ICML-c2-2014-MnihG #learning #network
- Neural Variational Inference and Learning in Belief Networks (AM, KG), pp. 1791–1799.
- ICML-2012-MnihT #algorithm #modelling #performance #probability
- A fast and simple algorithm for training neural probabilistic language models (AM, YWT), p. 58.
- ICML-2008-SalakhutdinovM08a #markov #matrix #monte carlo #probability #using
- Bayesian probabilistic matrix factorization using Markov chain Monte Carlo (RS, AM), pp. 880–887.
- ICML-2007-MnihH #modelling #statistics #visual notation
- Three new graphical models for statistical language modelling (AM, GEH), pp. 641–648.
- ICML-2007-SalakhutdinovMH #collaboration #strict
- Restricted Boltzmann machines for collaborative filtering (RS, AM, GEH), pp. 791–798.