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12/22/2022
Renormalization in the neural network-quantum field theory correspondence
A statistical ensemble of neural networks can be described in terms of a...
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11/16/2022
Characterizing 4-string contact interaction using machine learning
The geometry of 4-string contact interaction of closed string field theo...
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08/04/2021
Deep multi-task mining Calabi-Yau four-folds
We continue earlier efforts in computing the dimensions of tangent space...
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08/03/2021
Nonperturbative renormalization for the neural network-QFT correspondence
In a recent work arXiv:2008.08601, Halverson, Maiti and Stoner proposed ...
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07/30/2020
Machine learning for complete intersection Calabi-Yau manifolds: a methodological study
We revisit the question of predicting both Hodge numbers h^1,1 and h^2,1...
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07/27/2020
Inception Neural Network for Complete Intersection Calabi-Yau 3-folds
We introduce a neural network inspired by Google's Inception model to co...
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06/16/2020
Topological defects and confinement with machine learning: the case of monopoles in compact electrodynamics
We investigate the advantages of machine learning techniques to recogniz...
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11/18/2019
Casimir effect with machine learning
Vacuum fluctuations of quantum fields between physical objects depend on...
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09/06/2018
