7 citations · 11 across the 5 of their papers we have counts for
3 papers · 1 filter
Sampling Markov Models under Constraints: Complexity Results for Binary Equalities and Grammar Membership
Stephane Rivaud, François Pachet
We aim at enforcing hard constraints to impose a global structure on sequences generated from Markov models. In this report, we study the complexity of sampling Markov sequences un…
GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures
Gaëtan Hadjeres, Frank Nielsen, François Pachet
VAEs (Variational AutoEncoders) have proved to be powerful in the context of density modeling and have been used in a variety of contexts for creative purposes. In many settings, t…
Sampling Variations of Lead Sheets
Pierre Roy, Alexandre Papadopoulos, François Pachet
Machine-learning techniques have been recently used with spectacular results to generate artefacts such as music or text. However, these techniques are still unable to capture and…