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string_data: workshop on data science and string theory

26–29 Mar 2018
ASC
Europe/Berlin timezone

Contribution List

25 out of 25 displayed
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  1. 0. Counting String Standard Models
    Prof. Andre Lukas (University of Oxford)
    26/03/2018, 10:30
  2. 1. Machine Learning Calabi-Yau Volumes
    Prof. Rak-Kyeong Seong (Tsinghua University)
    26/03/2018, 11:15
  3. 2. Machine learning in astrophysics & cosmology
    Dr Ben Hoyle (MPE/USM Munich)
    26/03/2018, 14:00
    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.
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  4. 3. Topological Data Analysis for Cosmology and String Theory
    Prof. Gary Shiu (University of Wisconsin-Madison)
    26/03/2018, 14:45
  5. 4. The Early Universe Information Bottleneck
    Dr Jonathan Frazer (DESY)
    26/03/2018, 16:15
  6. 5. Classification of Quasi-Realistic Heterotic String Vacua
    Mr Glyn Harries (University of Liverpool)
    26/03/2018, 17:00
  7. 6. Data in (F-theory) flux
    Dr Timo Weigand (CERN)
    27/03/2018, 09:00
  8. 16. Data creation with Generative Adversarial Networks
    Dr Fabian Ruehle (University of Oxford)
    27/03/2018, 09:45
  9. 8. Big Data and Machine Learning in the Heterotic Orbifold Landscape
    Dr Patrick Vaudrevange (TU Munich)
    27/03/2018, 11:00
  10. 9. Deeping-learning the Landscape
    Prof. Yang-Hui He (City, University of London, Merton College, Oxford & Nankai University)
    27/03/2018, 11:45
  11. 10. Applications of Machine Learning techniques at the ATLAS Collaboration
    Mr David Handl (LMU Munich)
    27/03/2018, 14:00
  12. 11. Classifying fibration structures in Calabi-Yau constructions
    Prof. James Gray (Virginia Tech)
    27/03/2018, 14:45
  13. 12. Learning the non-Higgsable gauge groups in 4D F-theory
    Yinan Wang (MIT)
    27/03/2018, 16:15
  14. 13. Persistent Homology and Flux Vacua
    Alex Cole (University of Wisconsin-Madison)
    27/03/2018, 16:45
  15. 14. Axion hierarchies from Kahler cones
    Prof. Liam McAllister (Cornell University)
    28/03/2018, 09:00
  16. 15. Vacuum selection from Cosmology on Networks of String Vacua
    Dr Cody Long (Northeastern University)
    28/03/2018, 09:45
  17. 7. Anomaly Detection: Mapping the IIB Lamppost with Reinforcement Learning
    Prof. James Halverson (Northeastern University)
    28/03/2018, 11:00
  18. 17. Machine learning at Belle II
    Mr James Kahn (The University of Melbourne)
    28/03/2018, 11:45
  19. 18. Landscape and Complexity Catastrophe & Report on developments in mathematical software
    Prof. Michael Douglas (Stony Brook University)
    28/03/2018, 14:00
  20. 19. Challenging the Refined Swampland Distance Conjecture in Calabi-Yau Moduli Spaces
    Daniel Klaewer (Max Planck for Physics)
    28/03/2018, 14:45
  21. 20. History and perspectives
    Prof. Bert Schellekens (Nikhef)
    28/03/2018, 16:00
  22. 21. Discussion
    28/03/2018, 16:45
  23. 22. WG1: Datasets in String Theory
    Dr Christoph Mayrhofer (LMU Munich), Dr Cody Long (Northeastern University)
    29/03/2018, 09:00
  24. 23. WG2: Quo vadis string landscape?
    Prof. Liam McAllister (Cornell University), Dr Timo Weigand (CERN)
    29/03/2018, 11:00
  25. 24. WG3: Machine learning tools for string theory
    Dr Fabian Ruehle (University of Oxford), Prof. James Halverson (Northeastern University)
    29/03/2018, 14:00