Search Results for author:
Found 7 papers, 2 papers with code
Exploring how a Generative AI interprets music
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.
Predicting the traffic flux in the city of Valencia with Deep Learning
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.
Symmetry meets AI
We explore whether Neural Networks (NNs) can {\it discover} the presence of symmetries as they learn to perform a task.
Top, Higgs, Diboson and Electroweak Fit to the Standard Model Effective Field Theory
We then explore the constraints that our linear SMEFT analysis imposes on specific ultra-violet completions of the Standard Model, including those with single additional fields and low-mass stop squarks.
High Energy Physics - Phenomenology High Energy Physics - Experiment
Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2
We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpretation Forum.
High Energy Physics - Phenomenology High Energy Physics - Experiment
Developing an App to interpret Chest X-rays to support the diagnosis of respiratory pathology with Artificial Intelligence
In this paper we present our work to improve access to diagnosis in remote areas where good quality medical services may be lacking.
