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06/08/2023
Reevaluating Loss Functions: Enhancing Robustness to Label Noise in Deep Learning Models
Large annotated datasets inevitably contain incorrect labels, which pose...
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06/08/2023
Correlated Noise in Epoch-Based Stochastic Gradient Descent: Implications for Weight Variances
Stochastic gradient descent (SGD) has become a cornerstone of neural net...
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05/25/2023
Topological gap protocol based machine learning optimization of Majorana hybrid wires
Majorana zero modes in superconductor-nanowire hybrid structures are a p...
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03/24/2023
Online Learning for the Random Feature Model in the Student-Teacher Framework
Deep neural networks are widely used prediction algorithms whose perform...
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08/03/2022
Machine learning optimization of Majorana hybrid nanowires
As the complexity of quantum systems such as quantum bit arrays increase...
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06/08/2022
Boundary between noise and information applied to filtering neural network weight matrices
Deep neural networks have been successfully applied to a broad range of ...
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03/28/2022
Random matrix analysis of deep neural network weight matrices
Neural networks have been used successfully in a variety of fields, whic...
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04/29/2021
