Toward the Implementation of a Quantum RBM by Denil, M, de Freitas, N

Distributed Parameter Estimation in Probabilistic Graphical Models by Mizrahi, Y, Denil, M, de Freitas, N

Narrowing the Gap: Random Forests In Theory and In Practice by Denil, M, Matheson, D, de Freitas, N

Linear and Parallel Learning for Markov Random Fields by Mizrahi, Y, Denil, M, de Freitas, N

Consistency of Online Random Forests by Denil, M, Matheson, D, de Freitas, N

Learning Where to Attend with Deep Architectures for Image Tracking by Denil, M, Bazzani, L, Larochelle, H, De Freitas, J

Learning where to attend with deep architectures for image tracking by Denil, M, Bazzani, L, Larochelle, H, de Freitas, N

Predicting Parameters in Deep Learning by Denil, M, Shakibi, B, Dinh, L, Ranzato, M, de Freitas, N

Modelling‚ Visualising and Summarising Documents with a Single Convolutional Neural Network by Denil, M, Demiraj, A, Kalchbrenner, N, Blunsom, P, de Freitas, N