31 citations · 133 across the 23 of their papers we have counts for
4 papers · 1 filter
Image Embedding for Denoising Generative Models
Andrea Asperti, Davide Evangelista, Samuele Marro +1
Denoising Diffusion models are gaining increasing popularity in the field of generative modeling for several reasons, including the simple and stable training, the excellent genera…
Comparing the latent space of generative models
Andrea Asperti, Valerio Tonelli
Different encodings of datapoints in the latent space of latent-vector generative models may result in more or less effective and disentangled characterizations of the different ex…
MicroRacer: a didactic environment for Deep Reinforcement Learning
Andrea Asperti, Marco Del Brutto
MicroRacer is a simple, open source environment inspired by car racing especially meant for the didactics of Deep Reinforcement Learning. The complexity of the environment has been…
Enhancing variational generation through self-decomposition
Andrea Asperti, Laura Bugo, Daniele Filippini
In this article we introduce the notion of Split Variational Autoencoder (SVAE), whose output is obtained as a weighted sum of…