Machine Learning at GGI - Conference

Session

Astro/Cosmo

Sep 5, 2022, 2:30 PM

19. A semi-supervised approach to dark matter searches in direct detection data with machine learning

Andre Scaffidi

9/5/22, 2:30 PM

18. Two machine learning based methods for field-level inference of cosmological parameters

Moritz Münchmeyer

9/5/22, 3:05 PM

39. Recurrent NNs for fast signal discovery in pulsar timing arrays

Marat Freytsis

9/5/22, 3:40 PM

20. Cosmological simulations of Galaxy formation supervised by Machine Learning algorithms

Luca Graziani

9/6/22, 2:30 PM

21. Reconstructing blended galaxies with Machine Learning

Lavanya Nemani

9/6/22, 3:05 PM

22. Digging into data cubes with Deep Learning

Giuseppe Longo

9/6/22, 3:40 PM

48. Applying DNN to extract nuclear matter properties from neutron stars

Marcio Ferreira

9/7/22, 4:45 PM

23. NCPA mitigation using PCA and Neural Network

Alessandro Terreri

9/8/22, 10:40 AM

24. Accelerating cosmological inference with Deep Learning

Marco Bonici

9/8/22, 11:15 AM

25. Graph-Convolutional Neural Networks as a new tool to extract clustering information of the Cosmic web

Farida Farsian

9/8/22, 11:50 AM

26. Optimal compression of the cosmic 21-cm signal

David Prelogovic

9/8/22, 12:25 PM

47. Translation and Rotation Equivariant Normalizing Flows for cosmology and beyond

Uros Seljak

9/9/22, 10:40 AM