26 citations · 61 across the 5 of their papers we have counts for
5 papers
Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets
Andrea Tacchetti, Stephen Voinea, Georgios Evangelopoulos
The complexity of a learning task is increased by transformations in the input space that preserve class identity. Visual object recognition for example is affected by changes in v…
Learning with Group Invariant Features: A Kernel Perspective
Youssef Mroueh, Stephen Voinea, Tomaso Poggio
We analyze in this paper a random feature map based on a theory of invariance I-theory introduced recently. More specifically, a group invariant signal signature is obtained throug…
Learning An Invariant Speech Representation
Georgios Evangelopoulos, Stephen Voinea, Chiyuan Zhang +2
Recognition of speech, and in particular the ability to generalize and learn from small sets of labelled examples like humans do, depends on an appropriate representation of the ac…
A Deep Representation for Invariance And Music Classification
Chiyuan Zhang, Georgios Evangelopoulos, Stephen Voinea +2
Representations in the auditory cortex might be based on mechanisms similar to the visual ventral stream; modules for building invariance to transformations and multiple layers for…
Online Learning, Stability, and Stochastic Gradient Descent
Tomaso Poggio, Stephen Voinea, Lorenzo Rosasco
In batch learning, stability together with existence and uniqueness of the solution corresponds to well-posedness of Empirical Risk Minimization (ERM) methods; recently, it was pro…