Conveners
Review presentations
- There are no conveners in this block
Review presentations
- There are no conveners in this block
Review presentations
- There are no conveners in this block
Review presentations
- There are no conveners in this block
Review presentations
- There are no conveners in this block
Review presentations
- There are no conveners in this block
Review presentations
- There are no conveners in this block
Review presentations
- There are no conveners in this block
Review presentations
- There are no conveners in this block
Review presentations
- There are no conveners in this block
Review presentations
- There are no conveners in this block
Review presentations
- There are no conveners in this block
Review presentations
- There are no conveners in this block
Review presentations
- There are no conveners in this block
Review presentations: Seminar at IAP:
- Helena Domínguez Sánchez
Deep generative models parametrize very flexible families of distributions able to fit complicated datasets of images or text. These models provide independent samples from complex high-distributions at negligible costs. On the other hand, sampling exactly a target distribution, such a Bayesian posterior or the Boltzmann distribution of a physical system, is typically challenging: either...
Deep generative models parametrize very flexible families of distributions able to fit complicated datasets of images or text. These models provide independent samples from complex high-distributions at negligible costs. On the other hand, sampling exactly a target distribution, such a Bayesian posterior or the Boltzmann distribution of a physical system, is typically challenging: either...
In this review talk, I will show how artificial intelligence can bring tangible benefits to cosmological analysis of large-scale structure.
I will focus on how the use of AI in the framework of Simulations-Based Inference to achieve scientific objectives that would not be attainable with classical 2-pt function analyses. I will show three avenues where, in my opinion, AI can bring the most...
In this review talk, I will show how artificial intelligence can bring tangible benefits to cosmological analysis of large-scale structure.
I will focus on how the use of AI in the framework of Simulations-Based Inference to achieve scientific objectives that would not be attainable with classical 2-pt function analyses. I will show three avenues where, in my opinion, AI can bring the most...
Galaxies exhibit a wide variety of morphologies which are strongly related to their star formation histories and formation channels. Having large samples of morphologically classified galaxies is fundamental to understand their evolution. In this talk, I will review my research related to the application of deep learning algorithms for morphological classification of galaxies. This technique...