no code implementations • 31 Jul 2023 • Gabriela Barenboim, Luigi Del Debbio, Johannes Hirn, Veronica Sanz
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 relevance in describing music.
no code implementations • 10 Mar 2021 • Gabriela Barenboim, Johannes Hirn, Veronica Sanz
We explore whether Neural Networks (NNs) can {\it discover} the presence of symmetries as they learn to perform a task.
1 code implementation • 1 Feb 2019 • Gabriela Barenboim, Peter B. Denton, Stephen J. Parke, Christoph A. Ternes
In this paper we review different expansions for neutrino oscillation probabilities in matter in the context of long-baseline neutrino experiments.
High Energy Physics - Phenomenology
