29 citations · 104 across the 16 of their papers we have counts for
5 papers · 1 filter
Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding problem
Jeremy E. Cohen
Constrained tensor and matrix factorization models allow to extract interpretable patterns from multiway data. Therefore identifiability properties and efficient algorithms for con…
Exploring single-song autoencoding schemes for audio-based music structure analysis
Axel Marmoret, Jérémy E. Cohen, Frédéric Bimbot
The ability of deep neural networks to learn complex data relations and representations is established nowadays, but it generally relies on large sets of training data. This work e…
An AO-ADMM approach to constraining PARAFAC2 on all modes
Marie Roald, Carla Schenker, Vince D. Calhoun +4
Analyzing multi-way measurements with variations across one mode of the dataset is a challenge in various fields including data mining, neuroscience and chemometrics. For example,…
Uncovering audio patterns in music with Nonnegative Tucker Decomposition for structural segmentation
Axel Marmoret, Jérémy E. Cohen, Nancy Bertin +1
Recent work has proposed the use of tensor decomposition to model repetitions and to separate tracks in loop-based electronic music. The present work investigates further on the ab…
PARAFAC2 AO-ADMM: Constraints in all modes
Marie Roald, Carla Schenker, Jeremy E. Cohen +1
The PARAFAC2 model provides a flexible alternative to the popular CANDECOMP/PARAFAC (CP) model for tensor decompositions. Unlike CP, PARAFAC2 allows factor matrices in one mode (i.…