12 citations · 67 across the 40 of their papers we have counts for
4 papers · 1 filter
Overcomplete Frame Thresholding for Acoustic Scene Analysis
Romain Cosentino, Randall Balestriero, Richard Baraniuk +1
In this work, we derive a generic overcomplete frame thresholding scheme based on risk minimization. Overcomplete frames being favored for analysis tasks such as classification, re…
Semi-Supervised Learning via New Deep Network Inversion
Randall Balestriero, Vincent Roger, Herve G. Glotin +1
We exploit a recently derived inversion scheme for arbitrary deep neural networks to develop a new semi-supervised learning framework that applies to a wide range of systems and pr…
Deep Neural Networks
Randall Balestriero, Richard Baraniuk
Deep Neural Networks (DNNs) are universal function approximators providing state-of- the-art solutions on wide range of applications. Common perceptual tasks such as speech recogni…
Linear Time Complexity Deep Fourier Scattering Network and Extension to Nonlinear Invariants
Randall Balestriero, Herve Glotin
In this paper we propose a scalable version of a state-of-the-art deterministic time-invariant feature extraction approach based on consecutive changes of basis and nonlinearities,…