Lewis Smith | DeepAI

AI Chat

Featured Co-authors

Yarin Gal
126 publications
Yee Whye Teh
122 publications
Stephen Roberts
85 publications
Mark van der Wilk
44 publications
Atılım Güneş Baydin
24 publications
Sebastian Farquhar
24 publications
Tim G. J. Rudner
16 publications
Aidan N. Gomez
16 publications
Andrew Jesson
15 publications
Angelos Filos
14 publications
Joost van Amersfoort
13 publications

∙ 07/29/2021

Quantifying Uncertainty for Machine Learning Based Diagnostic

Virtual Diagnostic (VD) is a deep learning tool that can be used to pred...

0 Owen Convery, et al. ∙

∙ 06/04/2021

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

ResNets constrained to be bi-Lipschitz, that is, approximately distance ...

0 Lewis Smith, et al. ∙

∙ 02/22/2021

Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression

We propose a new model that estimates uncertainty in a single forward pa...

0 Joost van Amersfoort, et al. ∙

∙ 11/17/2020

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

The growth in the number of galaxy images is much faster than the speed ...

0 Mizu Nishikawa-Toomey, et al. ∙

∙ 04/07/2020

Capsule Networks – A Probabilistic Perspective

'Capsule' models try to explicitly represent the poses of objects, enfor...

16 Lewis Smith, et al. ∙

∙ 03/04/2020

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

We propose a method for training a deterministic deep model that can fin...

22 Joost van Amersfoort, et al. ∙

∙ 02/10/2020

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

We challenge the longstanding assumption that the mean-field approximati...

13 Sebastian Farquhar, et al. ∙

∙ 12/22/2019

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

Evaluation of Bayesian deep learning (BDL) methods is challenging. We of...

86 Angelos Filos, et al. ∙

∙ 10/04/2019

Flood Detection On Low Cost Orbital Hardware

Satellite imaging is a critical technology for monitoring and responding...

0 Gonzalo Mateo-García, et al. ∙

∙ 05/17/2019

Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning

We use Bayesian convolutional neural networks and a novel generative mod...

32 Mike Walmsley, et al. ∙

∙ 06/02/2018

Idealised Bayesian Neural Networks Cannot Have Adversarial Examples: Theoretical and Empirical Study

We prove that idealised discriminative Bayesian neural networks, capturi...

0 Yarin Gal, et al. ∙

∙ 03/22/2018

Understanding Measures of Uncertainty for Adversarial Example Detection

Measuring uncertainty is a promising technique for detecting adversarial...

0 Lewis Smith, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world