5.6k citations · 17.4k across the 77 of their papers we have counts for
Showing 2016 · stat.MLShow all
3 papers · 2 filters
stat.ML2016★ 28 cited
Topology and Geometry of Half-Rectified Network Optimization
C. Daniel Freeman, Joan Bruna
The loss surface of deep neural networks has recently attracted interest in the optimization and machine learning communities as a prime example of high-dimensional non-convex prob…
stat.ML2016★ 5 cited
Voice Conversion using Convolutional Neural Networks
Shariq Mobin, Joan Bruna
The human auditory system is able to distinguish the vocal source of thousands of speakers, yet not much is known about what features the auditory system uses to do this. Fourier T…
stat.ML2016★ 13 cited
Understanding Trainable Sparse Coding via Matrix Factorization
Thomas Moreau, Joan Bruna
Sparse coding is a core building block in many data analysis and machine learning pipelines. Typically it is solved by relying on generic optimization techniques, that are optimal…