AI goes MAD

Program

*Day 1: Tuesday June 14th, 2022*
Schedule	Speaker	Title	Slides
10:00- 11:00	Verónica Sanz	Do machines and people think alike?	pdf
11:00- 11:30	Coffee Break
11:30- 12:30	Christoph Weniger	Enabling precision dark matter searches with truncated marginal neural ratio estimation	pdf
12:30 - 14:30	Lunch
14:30 - 15:30	Matthew Schwartz	An introduction to IAIFI and ML for amplitudes	pdf
15:30 - 16:00	Coffee Break
16:00 - 17:00	Daniel Nieto	Deep learning imaging atmospheric Cherenkov telescopes	pdf
17:00 - 18:00	Bryan Zaldívar	A review of modern Bayesian inference	pdf
18:00 - 20:00	Reception at the IFT

*Day 2: Wednesday June 15th, 2022*
Schedule	Speaker	Title	Slides
10:00- 11:00	Claudius Krause	Breaking Simulation Bottlenecks with Normalizing Flows	pdf
11:00- 11:30	Coffee Break
11:30- 12:30	Alberto Iess	A machine learning approach to Gravitational Wave physics	pdf
12:30 - 14:30	Lunch
14:30 - 15:30	Conor O’Riordan	Detecting dark matter in strong gravitational lenses with deep learning	pdf
15:30 - 16:00	Coffee Break
16:00 - 17:00	Matteo Martinelli	A consistency check for the standard cosmological model with Gaussian Processes	pdf

*Day 3: Thursday June 16th, 2022*
Schedule	Speaker	Title	Slides
10:00- 11:00	José Ignacio Latorre	Quantum circuit for option pricing	pdf
11:00- 11:30	Coffee Break
11:30- 12:30	Vedran Dunjko	Beyond quantum kernels with smaller quantum computers	pdf
12:30 - 14:30	Lunch
14:30 - 15:30	Viviana Gammaldi	Searching for dark matter in Fermi-LAT unidentified sources with Machine Learning	pdf
15:30 - 16:00	Coffee Break
16:00 - 17:00	Martin de los Rios	Estimating the dark matter profiles of galaxies using deep learning	pdf