GLSR-VAE: Geodesic Latent Space Regularization for Variational
AutoEncoder Architectures

GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures

14 July 2017

Gaëtan Hadjeres

Papers citing "GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures"

11 / 11 papers shown

Title
Exploring XAI for the Arts: Explaining Latent Space in Generative Music Nick Bryan-Kinns Berker Banar Corey Ford Courtney N. Reed Yixiao Zhang S. Colton Jack Armitage 22 30 0 10 Aug 2023
Attribute Regularized Soft Introspective VAE: Towards Cardiac Attribute Regularization Through MRI Domains Maxime Di Folco Cosmin I. Bercea J. Schnabel 20 0 0 24 Jul 2023
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 19 8 0 14 Nov 2022
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers Ayush Khot Mark S. Neubauer Avik Roy AAML 30 16 0 09 Oct 2022
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders Irem Cetin Maialen Stephens Oscar Camara M. A. G. Ballester DRL 32 39 0 20 Mar 2022
Is Disentanglement enough? On Latent Representations for Controllable Music Generation Ashis Pati Alexander Lerch CoGe DRL 17 16 0 01 Aug 2021
MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer with One Transformer VAE Shih-Lun Wu Yi-Hsuan Yang ViT 17 53 0 10 May 2021
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation Gaëtan Hadjeres Léopold Crestel 23 18 0 21 Apr 2020
Learning Flat Latent Manifolds with VAEs Nutan Chen Alexej Klushyn Francesco Ferroni Justin Bayer Patrick van der Smagt DRL 14 39 0 12 Feb 2020
Deep Learning Techniques for Music Generation -- A Survey Jean-Pierre Briot Gaëtan Hadjeres F. Pachet MGen 32 297 0 05 Sep 2017
Discriminative Regularization for Generative Models Alex Lamb Vincent Dumoulin Aaron Courville DRL 32 65 0 09 Feb 2016