Diego Granziol

Orcid: 0000-0003-3169-2081

According to our database¹, Diego Granziol authored at least 18 papers between 2017 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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On csauthors.net:

Bibliography

2022

Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training.

[BibT_eX]

[DOI]

Diego Granziol

Stefan Zohren

Stephen Roberts

J. Mach. Learn. Res., 2022

Universal characteristics of deep neural network loss surfaces from random matrix theory.

[BibT_eX]

[DOI]

Nicholas P. Baskerville

CoRR, 2022

Maximum Entropy Approach to Massive Graph Spectrum Learning with Applications.

[BibT_eX]

[DOI]

Algorithms, 2022

2021

Applicability of Random Matrix Theory in Deep Learning.

[BibT_eX]

[DOI]

Nicholas P. Baskerville

Diego Granziol

Jonathan P. Keating

CoRR, 2021

2020

Spectral machine learning.

[BibT_eX]

[DOI]

Diego Granziol

PhD thesis, 2020

Explaining the Adaptive Generalisation Gap.

[BibT_eX]

[DOI]

CoRR, 2020

Curvature is Key: Sub-Sampled Loss Surfaces and the Implications for Large Batch Training.

[BibT_eX]

[DOI]

Diego Granziol

CoRR, 2020

Flatness is a False Friend.

[BibT_eX]

[DOI]

Diego Granziol

CoRR, 2020

Beyond Random Matrix Theory for Deep Networks.

[BibT_eX]

[DOI]

Diego Granziol

CoRR, 2020

Iterate Averaging Helps: An Alternative Perspective in Deep Learning.

[BibT_eX]

[DOI]

Diego Granziol

Xingchen Wan

Stephen Roberts

CoRR, 2020

2019

MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning.

[BibT_eX]

[DOI]

Entropy, 2019

MLRG Deep Curvature.

[BibT_eX]

[DOI]

CoRR, 2019

A Maximum Entropy approach to Massive Graph Spectra.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Entropic Spectral Learning in Large Scale Networks.

[BibT_eX]

[DOI]

CoRR, 2018

VBALD - Variational Bayesian Approximation of Log Determinants.

[BibT_eX]

[DOI]

CoRR, 2018

Fast Information-theoretic Bayesian Optimisation.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Entropic Trace Estimates for Log Determinants.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Entropic determinants of massive matrices.

[BibT_eX]

[DOI]

Diego Granziol

Stephen J. Roberts

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Diego Granziol

Timeline

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On csauthors.net:

Bibliography

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