Name: string_data_2021
Start: 2021-12-13T13:00:00+02:00
End: 2021-12-17T20:00:00+02:00
Location: No location set

A tale of symmetry and duality in neural networks

BI for AI

Building quantum field theories out of neurons

Calabi–Yau metrics, CFTs, and random matrices

Deep learning and holographic QCD

Deep learning knot invariants and gauge theory

Discussion

Exploring heterotic models with reinforcement learning and genetic algorithms

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

Machine learning Calabi–Yau hypersurfaces

Machine learning for computing in quantum field theory

Machine learning the Kitaev honeycomb model

Metrics and Machine Learning

ML to identify symmetries and integrability of physical systems

Non-perturbative renormalization for the neural network-QFT correspondence

On machine learning Kreuzer–Skarke Calabi–Yau manifolds

Permutation invariant random matrix theory and natural language data

Renormalizing the optimal hyperparameters of a neural network

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

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

The principles of deep learning theory

The string genome project

The world in a grain of sand

Towards solving CFTs with reinforcement learning

Using generative adversarial networks to produce knots with specified invariants

What is string data?

string_data_2021

Material Package