string_data: workshop on data science and string theory

Contribution List

0. Counting String Standard Models

Prof. Andre Lukas (University of Oxford)

3/26/18, 10:30 AM

1. Machine Learning Calabi-Yau Volumes

Prof. Rak-Kyeong Seong (Tsinghua University)

3/26/18, 11:15 AM

2. Machine learning in astrophysics & cosmology

Dr Ben Hoyle (MPE/USM Munich)

3/26/18, 2:00 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.

3. Topological Data Analysis for Cosmology and String Theory

Prof. Gary Shiu (University of Wisconsin-Madison)

3/26/18, 2:45 PM

4. The Early Universe Information Bottleneck

Dr Jonathan Frazer (DESY)

3/26/18, 4:15 PM

5. Classification of Quasi-Realistic Heterotic String Vacua

Mr Glyn Harries (University of Liverpool)

3/26/18, 5:00 PM

6. Data in (F-theory) flux

Dr Timo Weigand (CERN)

3/27/18, 9:00 AM

16. Data creation with Generative Adversarial Networks

Dr Fabian Ruehle (University of Oxford)

3/27/18, 9:45 AM

8. Big Data and Machine Learning in the Heterotic Orbifold Landscape

Dr Patrick Vaudrevange (TU Munich)

3/27/18, 11:00 AM

9. Deeping-learning the Landscape

Prof. Yang-Hui He (City, University of London, Merton College, Oxford & Nankai University)

3/27/18, 11:45 AM

10. Applications of Machine Learning techniques at the ATLAS Collaboration

Mr David Handl (LMU Munich)

3/27/18, 2:00 PM

11. Classifying fibration structures in Calabi-Yau constructions

Prof. James Gray (Virginia Tech)

3/27/18, 2:45 PM

12. Learning the non-Higgsable gauge groups in 4D F-theory

Yinan Wang (MIT)

3/27/18, 4:15 PM

13. Persistent Homology and Flux Vacua

Alex Cole (University of Wisconsin-Madison)

3/27/18, 4:45 PM

14. Axion hierarchies from Kahler cones

Prof. Liam McAllister (Cornell University)

3/28/18, 9:00 AM

15. Vacuum selection from Cosmology on Networks of String Vacua

Dr Cody Long (Northeastern University)

3/28/18, 9:45 AM

7. Anomaly Detection: Mapping the IIB Lamppost with Reinforcement Learning

Prof. James Halverson (Northeastern University)

3/28/18, 11:00 AM

17. Machine learning at Belle II

Mr James Kahn (The University of Melbourne)

3/28/18, 11:45 AM

18. Landscape and Complexity Catastrophe & Report on developments in mathematical software

Prof. Michael Douglas (Stony Brook University)

3/28/18, 2:00 PM

19. Challenging the Refined Swampland Distance Conjecture in Calabi-Yau Moduli Spaces

Daniel Klaewer (Max Planck for Physics)

3/28/18, 2:45 PM

20. History and perspectives

Prof. Bert Schellekens (Nikhef)

3/28/18, 4:00 PM

21. Discussion

3/28/18, 4:45 PM

22. WG1: Datasets in String Theory

Dr Christoph Mayrhofer (LMU Munich), Dr Cody Long (Northeastern University)

3/29/18, 9:00 AM

23. WG2: Quo vadis string landscape?

Prof. Liam McAllister (Cornell University), Dr Timo Weigand (CERN)

3/29/18, 11:00 AM

24. WG3: Machine learning tools for string theory

Dr Fabian Ruehle (University of Oxford), Prof. James Halverson (Northeastern University)

3/29/18, 2:00 PM