Lewis Smith

According to our database, Lewis Smith authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2.

Tom Lieberum, Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Nicolas Sonnerat, Vikrant Varma, János Kramár, Anca D. Dragan, Rohin Shah, Neel Nanda

CoRR, 2024

Improving Dictionary Learning with Gated Sparse Autoencoders.

Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma, János Kramár, Rohin Shah, Neel Nanda

CoRR, 2024

2021

Quantifying Uncertainty for Machine Learning Based Diagnostic.

Owen Convery, Lewis Smith, Yarin Gal, Adi Hanuka

CoRR, 2021

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

Lewis Smith, Joost van Amersfoort, Haiwen Huang, Stephen J. Roberts, Yarin Gal

CoRR, 2021

Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression.

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

CoRR, 2021

2020

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

Mizu Nishikawa-Toomey, Lewis Smith, Yarin Gal

CoRR, 2020

Capsule Networks - A Probabilistic Perspective.

Lewis Smith, Lisa Schut, Yarin Gal, Mark van der Wilk

CoRR, 2020

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

Joost van Amersfoort, Lewis Smith, Yee Whye Teh, Yarin Gal

CoRR, 2020

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

Sebastian Farquhar, Lewis Smith, Yarin Gal

CoRR, 2020

Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations.

Sebastian Farquhar, Lewis Smith, Yarin Gal

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Uncertainty Estimation Using a Single Deep Deterministic Neural Network.

Joost van Amersfoort, Lewis Smith, Yee Whye Teh, Yarin Gal

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

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

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

CoRR, 2019

Flood Detection On Low Cost Orbital Hardware.

Gonzalo Mateo-Garcia, Silviu Oprea, Lewis Smith, Josh Veitch-Michaelis, Guy Schumann, Yarin Gal, Atilim Günes Baydin, Dietmar Backes

CoRR, 2019

Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning.

Mike Walmsley, Lewis Smith, Chris J. Lintott, Yarin Gal, Steven Bamford, Hugh Dickinson, Lucy Fortson, Sandor Kruk, Karen Masters, Claudia Scarlata, Brooke Simmons, Rebecca J. Smethurst, Darryl Wright

CoRR, 2019

2018

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

Yarin Gal, Lewis Smith

CoRR, 2018

Understanding Measures of Uncertainty for Adversarial Example Detection.

Lewis Smith, Yarin Gal

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018