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Displaying 17 speakers out of 17
ALON FARAGGI (University of Liverpool)
What do we need machine learning for?
BRENT NELSON (Northeastern Univ.)
Estimating the Number of Calabi-Yau Threefolds in the Kreuzer-Skarke Database
CHALLENGER MISHRA (ICMAT, Madrid)
Machine Learning over CICY Threefolds
CODY LONG (Northeastern Univ.)
Learning to Reheat with Random Matrix Theory
DANIEL KLAEWER (Max-Planck-Institute)
Machine Learning Line Bundle Cohomology
DAVID B. ANDRIOT (CERN)
Joint ICTP/SISSA String seminar: Classical de Sitter solutions and the swampland
GARY SHIU (University of Wisconsin, Madison)
Topological Data Analysis for Cosmology & the String Landscape
HAROLD ERBIN (LMU)
Machine learning for string theory
JAMES HALVERSON (Northeastern Univ.)
Complexity of Machine Learning and Landscapes
JAN PIETER VAN DER SCHAAR (Univ. of Amsterdam)
Joint ICTP/SISSA String seminar: On effective descriptions and the stability of de Sitter states
KOJI HASHIMOTO (Osaka Univ.)
Deep Learning and Holographic QCD
MOHAMED EL AMINE SEDDIK (CEA List)
Random Matrix Theory for Big-Data and Machine Learning
PATRICK VAUDREVANGE (TU Munich)
Deep learning in the heterotic orbifold landscape
RYUSUKE JINNO (IBS-CTPU)
Machine learning for bounce calculation
STEVE ABEL (Durham University)
Genetic Algorithms as a search tool for the string landscape 
TOM RUDELIUS (Institute for Advanced Study)
Learning to inflate
YINAN WANG (University of Oxford)
F-theory landscape with SCFT sectors

Organizers

Sven KRIPPENDORF (LMU, Munich), Dhaghash MEHTA (United Technologies Research Center, USA), Fabian RUEHLE (CERN & University of Oxford), Fernando QUEVEDO (ICTP)