string_data: workshop on data science and string theory
from
Monday, 26 March 2018 (08:00)
to
Thursday, 29 March 2018 (18:00)
Monday, 26 March 2018
10:30
Counting String Standard Models
-
Andre Lukas
(
University of Oxford
)
Counting String Standard Models
Andre Lukas
(
University of Oxford
)
10:30 - 11:15
11:15
Machine Learning Calabi-Yau Volumes
-
Rak-Kyeong Seong
(
Tsinghua University
)
Machine Learning Calabi-Yau Volumes
Rak-Kyeong Seong
(
Tsinghua University
)
11:15 - 12:00
12:00
Lunch Break
Lunch Break
12:00 - 14:00
14:00
Machine learning in astrophysics & cosmology
-
Ben Hoyle
(
MPE/USM Munich
)
Machine learning in astrophysics & cosmology
Ben Hoyle
(
MPE/USM Munich
)
14:00 - 14:45
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.
14:45
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
)
14:45 - 15:30
15:30
Coffee Break
Coffee Break
15:30 - 16:15
Room: 449
16:15
The Early Universe Information Bottleneck
-
Jonathan Frazer
(
DESY
)
The Early Universe Information Bottleneck
Jonathan Frazer
(
DESY
)
16:15 - 17:00
17:00
Classification of Quasi-Realistic Heterotic String Vacua
-
Glyn Harries
(
University of Liverpool
)
Classification of Quasi-Realistic Heterotic String Vacua
Glyn Harries
(
University of Liverpool
)
17:00 - 17:30
Tuesday, 27 March 2018
09:00
Data in (F-theory) flux
-
Timo Weigand
(
CERN
)
Data in (F-theory) flux
Timo Weigand
(
CERN
)
09:00 - 09:45
09:45
Data creation with Generative Adversarial Networks
-
Fabian Ruehle
(
University of Oxford
)
Data creation with Generative Adversarial Networks
Fabian Ruehle
(
University of Oxford
)
09:45 - 10:30
10:30
Coffee Break
Coffee Break
10:30 - 11:00
Room: 449
11:00
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 - 11:45
11:45
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 - 12:30
12:30
Lunch Break
Lunch Break
12:30 - 14:00
14:00
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
)
14:00 - 14:45
14:45
Classifying fibration structures in Calabi-Yau constructions
-
James Gray
(
Virginia Tech
)
Classifying fibration structures in Calabi-Yau constructions
James Gray
(
Virginia Tech
)
14:45 - 15:30
15:30
Coffee Break
Coffee Break
15:30 - 16:15
Room: 449
16:15
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
)
16:15 - 16:45
16:45
Persistent Homology and Flux Vacua
-
Alex Cole
(
University of Wisconsin-Madison
)
Persistent Homology and Flux Vacua
Alex Cole
(
University of Wisconsin-Madison
)
16:45 - 17:15
19:00
Conference Dinner
Conference Dinner
19:00 - 22:20
Wednesday, 28 March 2018
09:00
Axion hierarchies from Kahler cones
-
Liam McAllister
(
Cornell University
)
Axion hierarchies from Kahler cones
Liam McAllister
(
Cornell University
)
09:00 - 09:45
09:45
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
)
09:45 - 10:30
10:30
Coffee Break
Coffee Break
10:30 - 11:00
Room: 449
11:00
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 - 11:45
11:45
Machine learning at Belle II
-
James Kahn
(
The University of Melbourne
)
Machine learning at Belle II
James Kahn
(
The University of Melbourne
)
11:45 - 12:15
12:15
Lunch Break
Lunch Break
12:15 - 14:00
14:00
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
)
14:00 - 14:45
14:45
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
)
14:45 - 15:15
15:15
Coffee Break
Coffee Break
15:15 - 16:00
Room: 449
16:00
History and perspectives
-
Bert Schellekens
(
Nikhef
)
History and perspectives
Bert Schellekens
(
Nikhef
)
16:00 - 16:45
16:45
Discussion
Discussion
16:45 - 18:00
Thursday, 29 March 2018
09:00
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
)
09:00 - 10:30
10:30
Coffee Break
Coffee Break
10:30 - 11:00
11:00
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 - 12:30
12:30
Lunch Break
Lunch Break
12:30 - 14:00
14:00
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
)
14:00 - 15:30
15:30
Coffee Break
Coffee Break
15:30 - 16:00