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string_data 2020

from Monday, 14 December 2020 (15:40) to Wednesday, 16 December 2020 (19:00)
CERN (Virtual only)

        : Sessions
    /     : Talks
        : Breaks
14 Dec 2020
15 Dec 2020
16 Dec 2020
AM
PM
15:40 Welcome - Fabian Ruhle (CERN)   (Virtual only)
15:45 Numerical Calabi-Yau Metrics from Holomorphic Networks - Mr Michael Douglas (Simons Center / CMSA Harvard )   (Virtual only)
16:15 Calabi-Yau Metrics from Machine Learning - Dr Sven Krippendorf (LMU Munich )   (Virtual only)
16:45 Reinforcement learning heterotic line bundle models - Dr Magdalena Larfors (Uppsala University )   (Virtual only)
17:15 --- Coffee break ---
17:30 NN-QFT Correspondence - Prof. Jim Halverson (Northeastern University)   (Virtual only)
18:00 Feature Learning in Infinite-Width Neural Networks - Mr Greg Yang (Microsoft Research)   (Virtual only)
18:30
Short talks (until 19:05) (Virtual only)
18:30 Quantitative and Interpretable Order Parameters for Phase Transitions from Persistent Homology - Dr Alex Cole (University of Amsterdam)   (Virtual only)
18:35 Algorithmically solving the Tadpole Problem - Dr Severin Lust (Harvard University)   (Virtual only)
18:40 Baryons as Solitons in the Meson Spectrum: A ML Perspective - Dr Damian Mayorga Pena (WITS University)   (Virtual only)
18:45 Vector-like spectra in F-theory 1 - Dr Martin Bies (University of Pennsylvania)   (Virtual only)
18:50 Vector-like spectra in F-theory 2 - Ms Muyang Liu (University of Pennsylvania)   (Virtual only)
18:55 Output dimension effects in untrained Neural Networks - Ms Anindita Maiti (Northeastern University)   (Virtual only)
19:00 Fixed Points in Neural Network Non-Gaussian Processes - Mr Keegan Stoner (Northeastern University)   (Virtual only)
15:45 The Topology of Data: from String Theory to Cosmology to Phases of Matter - Prof. Gary Shiu (University of Wisconsin-Madison )   (Virtual only)
16:15 Towards the next level of string phenomenology using machine learning - Dr Patrick Vaudrevange (TU Munich)   (Virtual only)
16:45 Testing Swampland Conjectures with Machine Learning - Dr Nana Geraldine Cabo Bizet (Universidad de Guanajuato)   (Virtual only)
17:15 --- Coffee break ---
17:30 (K)not machine learning - Prof. Vishnu Jejjala (University of the Witwatersrand)   (Virtual only)
18:00 Can graph neural networks count substructures? - Prof. Soledad Villar (Johns Hopkins University)   (Virtual only)
18:30 Vacuum Selection in the Flux Landscape - Dr Cody Long (Harvard University)   (Virtual only)
15:45 Towards Enumeration of Vacua - Prof. Liam McAllister (Cornell)   (Virtual only)
16:15 Machine learning for complete intersection Calabi-Yau manifolds - Dr Harold Erbin (MIT & CEA-LIST)   (Virtual only)
16:45 Machine-Learning Mathematical Structures - Prof. Yang-Hui He (City, U of London; Merton College, U of Oxford; & Nankai U)   (Virtual only)
17:15 --- Coffee break ---
17:30 Bayesian inference and quantum field theory - Prof. David Berman (Queen Mary University of London)   (Virtual only)
18:00
Physics meets ML seminar (until 19:00) (Virtual only)
18:00 Leveraging Permutation Group Symmetries for the design of Equivariant Neural Networks - Haggai Maron (NVIDIA Research)   (Virtual only)
18:30 Learning to Unknot - Sergei Gukov (California Institute of Technology)   (Virtual only)
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