21 citations · 63 across the 15 of their papers we have counts for
4 papers · 1 filter
Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models
Karn N. Watcharasupat, Junyoung Lee, Alexander Lerch
Latte (for LATent Tensor Evaluation) is a Python library for evaluation of latent-based generative models in the fields of disentanglement learning and controllable generation. Lat…
dMelodies: A Music Dataset for Disentanglement Learning
Ashis Pati, Siddharth Gururani, Alexander Lerch
Representation learning focused on disentangling the underlying factors of variation in given data has become an important area of research in machine learning. However, most of th…
Attribute-based Regularization of Latent Spaces for Variational Auto-Encoders
Ashis Pati, Alexander Lerch
Selective manipulation of data attributes using deep generative models is an active area of research. In this paper, we present a novel method to structure the latent space of a Va…
Learning to Traverse Latent Spaces for Musical Score Inpainting
Ashis Pati, Alexander Lerch, Gaëtan Hadjeres
Music Inpainting is the task of filling in missing or lost information in a piece of music. We investigate this task from an interactive music creation perspective. To this end, a…