166 citations · 735 across the 20 of their papers we have counts for
20 papers
-VAEs as Effective Theories: Tolerance-Dependent Dimension
Johannes Hirn
In a -VAE, increasing the regularization strength acts as a spectral cutoff by collapsing low-utility latent coordinates. In the linear Gaussian VAE, the collapse order matches…
Latent Spectroscopy: Posterior Collapse as a Feature
Johannes Hirn
We show that, in linear Gaussian VAEs, posterior collapse is a form of latent feature selection. Feature importance is set by each latent coordinate's contribution to reconstructio…
Establishing a real-time traffic alarm in the city of Valencia with Deep Learning
Miguel Folgado, Veronica Sanz, Johannes Hirn +2
Urban traffic emissions represent a significant concern due to their detrimental impacts on both public health and the environment. Consequently, decision-makers have flagged their…
Exploring how a Generative AI interprets music
Gabriela Barenboim, Luigi Del Debbio, Johannes Hirn +1
We use Google's MusicVAE, a Variational Auto-Encoder with a 512-dimensional latent space to represent a few bars of music, and organize the latent dimensions according to their rel…
Predicting the traffic flux in the city of Valencia with Deep Learning
Miguel G. Folgado, Veronica Sanz, Johannes Hirn +2
Traffic congestion is a major urban issue due to its adverse effects on health and the environment, so much so that reducing it has become a priority for urban decision-makers. In…
A Deep Generative Artificial Intelligence system to decipher species coexistence patterns
J. Hirn, J. E. García, A. Montesinos-Navarro +3
1. Deciphering coexistence patterns is a current challenge to understanding diversity maintenance, especially in rich communities where the complexity of these patterns is magnifie…