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Quantifying Uncertainty for Machine Learning Based Diagnostic


Jul 29, 2021
Owen Convery, Lewis Smith, Yarin Gal, Adi Hanuka

* arXiv admin note: substantial text overlap with arXiv:2105.04654 

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Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective


Jun 17, 2021
Lewis Smith, Joost van Amersfoort, Haiwen Huang, Stephen Roberts, Yarin Gal

* Main paper 10 pages including references, appendix 10 pages. 7 figures and 6 tables including appendix 

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Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression


Feb 22, 2021
Joost van Amersfoort, Lewis Smith, Andrew Jesson, Oscar Key, Yarin Gal


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Semi-supervised Learning of Galaxy Morphology using Equivariant Transformer Variational Autoencoders


Nov 17, 2020
Mizu Nishikawa-Toomey, Lewis Smith, Yarin Gal

* Accepted at the workshop for Machine Learning and the Physical Sciences, 34th Conference on Neural Information Processing Systems (NeurIPS) December 11, 2020 

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Capsule Networks -- A Probabilistic Perspective


Apr 07, 2020
Lewis Smith, Lisa Schut, Yarin Gal, Mark van der Wilk


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Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network


Mar 04, 2020
Joost van Amersfoort, Lewis Smith, Yee Whye Teh, Yarin Gal


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Try Depth Instead of Weight Correlations: Mean-field is a Less Restrictive Assumption for Deeper Networks


Feb 10, 2020
Sebastian Farquhar, Lewis Smith, Yarin Gal


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A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks


Dec 22, 2019
Angelos Filos, Sebastian Farquhar, Aidan N. Gomez, Tim G. J. Rudner, Zachary Kenton, Lewis Smith, Milad Alizadeh, Arnoud de Kroon, Yarin Gal


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Flood Detection On Low Cost Orbital Hardware


Oct 14, 2019
Gonzalo Mateo-Garcia, Silviu Oprea, Lewis Smith, Josh Veitch-Michaelis, Guy Schumann, Yarin Gal, Atılım Güneş Baydin, Dietmar Backes

* Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

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