string_data: workshop on data science and string theory
from
Monday, March 26, 2018 (8:00 AM)
to
Thursday, March 29, 2018 (6:00 PM)
Monday, March 26, 2018
10:30 AM
Counting String Standard Models
-
Andre Lukas
(
University of Oxford
)
Counting String Standard Models
Andre Lukas
(
University of Oxford
)
10:30 AM - 11:15 AM
11:15 AM
Machine Learning Calabi-Yau Volumes
-
Rak-Kyeong Seong
(
Tsinghua University
)
Machine Learning Calabi-Yau Volumes
Rak-Kyeong Seong
(
Tsinghua University
)
11:15 AM - 12:00 PM
12:00 PM
Lunch Break
Lunch Break
12:00 PM - 2:00 PM
2:00 PM
Machine learning in astrophysics & cosmology
-
Ben Hoyle
(
MPE/USM Munich
)
Machine learning in astrophysics & cosmology
Ben Hoyle
(
MPE/USM Munich
)
2:00 PM - 2:45 PM
I present an overview of machine learning methods as they are applied in astrophysics and cosmology, and highlight both new developments and real problems that are facing the field.
2:45 PM
Topological Data Analysis for Cosmology and String Theory
-
Gary Shiu
(
University of Wisconsin-Madison
)
Topological Data Analysis for Cosmology and String Theory
Gary Shiu
(
University of Wisconsin-Madison
)
2:45 PM - 3:30 PM
3:30 PM
Coffee Break
Coffee Break
3:30 PM - 4:15 PM
Room: 449
4:15 PM
The Early Universe Information Bottleneck
-
Jonathan Frazer
(
DESY
)
The Early Universe Information Bottleneck
Jonathan Frazer
(
DESY
)
4:15 PM - 5:00 PM
5:00 PM
Classification of Quasi-Realistic Heterotic String Vacua
-
Glyn Harries
(
University of Liverpool
)
Classification of Quasi-Realistic Heterotic String Vacua
Glyn Harries
(
University of Liverpool
)
5:00 PM - 5:30 PM
Tuesday, March 27, 2018
9:00 AM
Data in (F-theory) flux
-
Timo Weigand
(
CERN
)
Data in (F-theory) flux
Timo Weigand
(
CERN
)
9:00 AM - 9:45 AM
9:45 AM
Data creation with Generative Adversarial Networks
-
Fabian Ruehle
(
University of Oxford
)
Data creation with Generative Adversarial Networks
Fabian Ruehle
(
University of Oxford
)
9:45 AM - 10:30 AM
10:30 AM
Coffee Break
Coffee Break
10:30 AM - 11:00 AM
Room: 449
11:00 AM
Big Data and Machine Learning in the Heterotic Orbifold Landscape
-
Patrick Vaudrevange
(
TU Munich
)
Big Data and Machine Learning in the Heterotic Orbifold Landscape
Patrick Vaudrevange
(
TU Munich
)
11:00 AM - 11:45 AM
11:45 AM
Deeping-learning the Landscape
-
Yang-Hui He
(
City, University of London, Merton College, Oxford & Nankai University
)
Deeping-learning the Landscape
Yang-Hui He
(
City, University of London, Merton College, Oxford & Nankai University
)
11:45 AM - 12:30 PM
12:30 PM
Lunch Break
Lunch Break
12:30 PM - 2:00 PM
2:00 PM
Applications of Machine Learning techniques at the ATLAS Collaboration
-
David Handl
(
LMU Munich
)
Applications of Machine Learning techniques at the ATLAS Collaboration
David Handl
(
LMU Munich
)
2:00 PM - 2:45 PM
2:45 PM
Classifying fibration structures in Calabi-Yau constructions
-
James Gray
(
Virginia Tech
)
Classifying fibration structures in Calabi-Yau constructions
James Gray
(
Virginia Tech
)
2:45 PM - 3:30 PM
3:30 PM
Coffee Break
Coffee Break
3:30 PM - 4:15 PM
Room: 449
4:15 PM
Learning the non-Higgsable gauge groups in 4D F-theory
-
Yinan Wang
(
MIT
)
Learning the non-Higgsable gauge groups in 4D F-theory
Yinan Wang
(
MIT
)
4:15 PM - 4:45 PM
4:45 PM
Persistent Homology and Flux Vacua
-
Alex Cole
(
University of Wisconsin-Madison
)
Persistent Homology and Flux Vacua
Alex Cole
(
University of Wisconsin-Madison
)
4:45 PM - 5:15 PM
7:00 PM
Conference Dinner
Conference Dinner
7:00 PM - 10:20 PM
Wednesday, March 28, 2018
9:00 AM
Axion hierarchies from Kahler cones
-
Liam McAllister
(
Cornell University
)
Axion hierarchies from Kahler cones
Liam McAllister
(
Cornell University
)
9:00 AM - 9:45 AM
9:45 AM
Vacuum selection from Cosmology on Networks of String Vacua
-
Cody Long
(
Northeastern University
)
Vacuum selection from Cosmology on Networks of String Vacua
Cody Long
(
Northeastern University
)
9:45 AM - 10:30 AM
10:30 AM
Coffee Break
Coffee Break
10:30 AM - 11:00 AM
Room: 449
11:00 AM
Anomaly Detection: Mapping the IIB Lamppost with Reinforcement Learning
-
James Halverson
(
Northeastern University
)
Anomaly Detection: Mapping the IIB Lamppost with Reinforcement Learning
James Halverson
(
Northeastern University
)
11:00 AM - 11:45 AM
11:45 AM
Machine learning at Belle II
-
James Kahn
(
The University of Melbourne
)
Machine learning at Belle II
James Kahn
(
The University of Melbourne
)
11:45 AM - 12:15 PM
12:15 PM
Lunch Break
Lunch Break
12:15 PM - 2:00 PM
2:00 PM
Landscape and Complexity Catastrophe & Report on developments in mathematical software
-
Michael Douglas
(
Stony Brook University
)
Landscape and Complexity Catastrophe & Report on developments in mathematical software
Michael Douglas
(
Stony Brook University
)
2:00 PM - 2:45 PM
2:45 PM
Challenging the Refined Swampland Distance Conjecture in Calabi-Yau Moduli Spaces
-
Daniel Klaewer
(
Max Planck for Physics
)
Challenging the Refined Swampland Distance Conjecture in Calabi-Yau Moduli Spaces
Daniel Klaewer
(
Max Planck for Physics
)
2:45 PM - 3:15 PM
3:15 PM
Coffee Break
Coffee Break
3:15 PM - 4:00 PM
Room: 449
4:00 PM
History and perspectives
-
Bert Schellekens
(
Nikhef
)
History and perspectives
Bert Schellekens
(
Nikhef
)
4:00 PM - 4:45 PM
4:45 PM
Discussion
Discussion
4:45 PM - 6:00 PM
Thursday, March 29, 2018
9:00 AM
WG1: Datasets in String Theory
-
Cody Long
(
Northeastern University
)
Christoph Mayrhofer
(
LMU Munich
)
WG1: Datasets in String Theory
Cody Long
(
Northeastern University
)
Christoph Mayrhofer
(
LMU Munich
)
9:00 AM - 10:30 AM
10:30 AM
Coffee Break
Coffee Break
10:30 AM - 11:00 AM
11:00 AM
WG2: Quo vadis string landscape?
-
Liam McAllister
(
Cornell University
)
Timo Weigand
(
CERN
)
WG2: Quo vadis string landscape?
Liam McAllister
(
Cornell University
)
Timo Weigand
(
CERN
)
11:00 AM - 12:30 PM
12:30 PM
Lunch Break
Lunch Break
12:30 PM - 2:00 PM
2:00 PM
WG3: Machine learning tools for string theory
-
James Halverson
(
Northeastern University
)
Fabian Ruehle
(
University of Oxford
)
WG3: Machine learning tools for string theory
James Halverson
(
Northeastern University
)
Fabian Ruehle
(
University of Oxford
)
2:00 PM - 3:30 PM
3:30 PM
Coffee Break
Coffee Break
3:30 PM - 4:00 PM