Andrzej Banburski

Theoretical issues in deep networks

Tomaso Poggio, Andrzej Banburski, Qianli Liao · Proceedings of the National Academy of Sciences · 2020 · 153 citations · Full text

Artificial Intelligence, Geometric Learning, Convolutional Neural Network +14

Production and discovery of true muonium in fixed-target experiments

Andrzej Banburski, Philip Schuster · Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology · 2012 · 39 citations · Full text

Engineering, Nuclear Physics, Nuclear Data +17

Pachner moves in a 4D Riemannian holomorphic spin foam model

Andrzej Banburski, Lin-Qing Chen, Laurent Freidel et al. · Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology · 2015 · 38 citations · Full text

Geometry, Physics, Riemannian Gravity +6

Complexity control by gradient descent in deep networks

Tomaso Poggio, Qianli Liao, Andrzej Banburski · Nature Communications · 2020 · 33 citations · Full text

A Surprising Linear Relationship Predicts Test Performance in Deep Networks

Qianli Liao, Brando Miranda, Andrzej Banburski et al. · arXiv (Cornell University) · 2018 · 21 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Engineering +16