4 citations · 4 across the 3 of their papers we have counts for
3 papers
Cosmology from Galaxy Redshift Surveys with PointNet
Sotiris Anagnostidis, Arne Thomsen, Tomasz Kacprzak +4
In recent years, deep learning approaches have achieved state-of-the-art results in the analysis of point cloud data. In cosmology, galaxy redshift surveys resemble such a permutat…
Mastering Spatial Graph Prediction of Road Networks
Sotiris Anagnostidis, Aurelien Lucchi, Thomas Hofmann
Accurately predicting road networks from satellite images requires a global understanding of the network topology. We propose to capture such high-level information by introducing…
Direct-Search for a Class of Stochastic Min-Max Problems
Sotiris Anagnostidis, Aurelien Lucchi, Youssef Diouane
Recent applications in machine learning have renewed the interest of the community in min-max optimization problems. While gradient-based optimization methods are widely used to so…