80 citations · 138 across the 20 of their papers we have counts for
5 papers · 1 filter
Mathematics of Deep Learning
Rene Vidal, Joan Bruna, Raja Giryes +1
Recently there has been a dramatic increase in the performance of recognition systems due to the introduction of deep architectures for representation learning and classification.…
Dropout as a Low-Rank Regularizer for Matrix Factorization
Jacopo Cavazza, Pietro Morerio, Benjamin Haeffele +3
Regularization for matrix factorization (MF) and approximation problems has been carried out in many different ways. Due to its popularity in deep learning, dropout has been applie…
An Analysis of Dropout for Matrix Factorization
Jacopo Cavazza, Connor Lane, Benjamin D. Haeffele +2
Dropout is a simple yet effective algorithm for regularizing neural networks by randomly dropping out units through Bernoulli multiplicative noise, and for some restricted problem…
3D Pose Regression using Convolutional Neural Networks
Siddharth Mahendran, Haider Ali, Rene Vidal
3D pose estimation is a key component of many important computer vision tasks such as autonomous navigation and 3D scene understanding. Most state-of-the-art approaches to 3D pose…
(k,q)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior
Evan Schwab, René Vidal, Nicolas Charon
Advanced diffusion magnetic resonance imaging (dMRI) techniques, like diffusion spectrum imaging (DSI) and high angular resolution diffusion imaging (HARDI), remain underutilized c…