string_data 2020

from Monday, December 14, 2020 (3:40 PM) to Wednesday, December 16, 2020 (7:00 PM)
CERN (Virtual only)

        : Sessions
    /     : Talks
        : Breaks
Dec 14, 2020
Dec 15, 2020
Dec 16, 2020
AM
PM
3:40 PM Welcome - Fabian Ruhle (CERN)  
3:45 PM Numerical Calabi-Yau Metrics from Holomorphic Networks - Mr Michael Douglas (Simons Center / CMSA Harvard )  
4:15 PM Calabi-Yau Metrics from Machine Learning - Dr Sven Krippendorf (LMU Munich )  
4:45 PM Reinforcement learning heterotic line bundle models - Dr Magdalena Larfors (Uppsala University )  
5:15 PM --- Coffee break ---
5:30 PM NN-QFT Correspondence - Prof. Jim Halverson (Northeastern University)  
6:00 PM Feature Learning in Infinite-Width Neural Networks - Mr Greg Yang (Microsoft Research)  
6:30 PM
Short talks (until 7:05 PM)
6:30 PM Quantitative and Interpretable Order Parameters for Phase Transitions from Persistent Homology - Dr Alex Cole (University of Amsterdam)  
6:35 PM Algorithmically solving the Tadpole Problem - Dr Severin Lust (Harvard University)  
6:40 PM Baryons as Solitons in the Meson Spectrum: A ML Perspective - Dr Damian Mayorga Pena (WITS University)  
6:45 PM Vector-like spectra in F-theory 1 - Dr Martin Bies (University of Pennsylvania)  
6:50 PM Vector-like spectra in F-theory 2 - Ms Muyang Liu (University of Pennsylvania)  
6:55 PM Output dimension effects in untrained Neural Networks - Ms Anindita Maiti (Northeastern University)  
7:00 PM Fixed Points in Neural Network Non-Gaussian Processes - Mr Keegan Stoner (Northeastern University)  
3:45 PM The Topology of Data: from String Theory to Cosmology to Phases of Matter - Prof. Gary Shiu (University of Wisconsin-Madison )  
4:15 PM Towards the next level of string phenomenology using machine learning - Dr Patrick Vaudrevange (TU Munich)  
4:45 PM Testing Swampland Conjectures with Machine Learning - Dr Nana Geraldine Cabo Bizet (Universidad de Guanajuato)  
5:15 PM --- Coffee break ---
5:30 PM (K)not machine learning - Prof. Vishnu Jejjala (University of the Witwatersrand)  
6:00 PM Can graph neural networks count substructures? - Prof. Soledad Villar (Johns Hopkins University)  
6:30 PM Vacuum Selection in the Flux Landscape - Dr Cody Long (Harvard University)  
3:45 PM Towards Enumeration of Vacua - Prof. Liam McAllister (Cornell)  
4:15 PM Machine learning for complete intersection Calabi-Yau manifolds - Dr Harold Erbin (MIT & CEA-LIST)  
4:45 PM Machine-Learning Mathematical Structures - Prof. Yang-Hui He (City, U of London; Merton College, U of Oxford; & Nankai U)  
5:15 PM --- Coffee break ---
5:30 PM Bayesian inference and quantum field theory - Prof. David Berman (Queen Mary University of London)  
6:00 PM
Physics meets ML seminar (until 7:00 PM)
6:00 PM Leveraging Permutation Group Symmetries for the design of Equivariant Neural Networks - Haggai Maron (NVIDIA Research)  
6:30 PM Learning to Unknot - Sergei Gukov (California Institute of Technology)