string_data_2021

Speaker List

• Lara Anderson (Virginia Tech)
  • Speaker at

    SU(3) holonomy and SU(3) structure metrics and stable bundles

• Anthony Ashmore (University of Chicago)
  • Speaker at

    Calabi–Yau metrics, CFTs, and random matrices

• Per Berglund (University of New Hampshire)
  • Speaker at

    On machine learning Kreuzer–Skarke Calabi–Yau manifolds

• Miranda Cheng (University of Amsterdam)
  • Speaker at

    Machine learning for computing in quantum field theory

• Michael Douglas (Stony Brook University)
  • Speaker at

    What is string data?

• Harold Erbin (MIT)
  • Speaker at

    Non-perturbative renormalization for the neural network-QFT correspondence

• Babak Haghighat (Tsinghua University)
  • Speaker at

    Machine learning the Kitaev honeycomb model

• James Halverson (Northeastern University)
  • Speaker at

    Building quantum field theories out of neurons

• Koji Hashimoto (Kyoto University)
  • Speaker at

    Deep learning and holographic QCD

• Yang-Hui He (London Institute, Royal Institution)
  • Speaker at

    The world in a grain of sand

• Edward Hirst (City, University of London)
  • Speaker at

    Machine learning Calabi–Yau hypersurfaces

• Mark Hughes (Brigham Young University)
  • Speaker at

    Using generative adversarial networks to produce knots with specified invariants

• Arjun Kar (University of British Columbia)
  • Speaker at

    Deep learning knot invariants and gauge theory

• Sven Krippendorf (LMU Munich)
  • Speaker at

    ML to identify symmetries and integrability of physical systems

• Andre Lukas (Oxford University)
  • Speaker at

    Exploring heterotic models with reinforcement learning and genetic algorithms

• Anindita Maiti (Northeastern University)
  • Speaker at

    A tale of symmetry and duality in neural networks

• Challenger Mishra (Cambridge University)
  • Speaker at

    Metrics and Machine Learning

• Costis Papageorgakis (Queen Mary, University of London)
  • Speaker at

    Towards solving CFTs with reinforcement learning

• Sanjaye Ramgoolam (Queen Mary, University of London)
  • Speaker at

    Permutation invariant random matrix theory and natural language data

• Daniel Roberts (MIT)
  • Speaker at

    The principles of deep learning theory

• Fabian Ruehle (Northeastern University)
  • Speaker at

    SU(3) holonomy/structure metrics for CICYs and toric varieties

• Robin Schneider (Uppsala University)
  • Speaker at

    Hands-on Ricci-flat metrics with \texttt{cymetric}

• Gary Shiu (University of Wisconsin)
  • Speaker at

    The string genome project

• Eva Silverstein (Stanford University)
  • Speaker at

    BI for AI

• Greg Yang (Microsoft Research)
  • Speaker at

    Renormalizing the optimal hyperparameters of a neural network