Lewis Smith - RankMe

20 papers A* 3A 1Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Difficulties with Evaluating a Deception Detector for AIs. CoRR Lewis Smith, Bilal Chughtai, Neel Nanda
2025	J	`jnl`	Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit. CoRR Nick Jiang, Xiaoqing Sun, Lisa Dunlap, Lewis Smith, Neel Nanda
2024	J	`jnl`	Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2. CoRR Tom Lieberum, Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Nicolas Sonnerat, Vikrant Varma, János Kramár, Anca D. Dragan, Rohin Shah, Neel Nanda
2024	J	`jnl`	Improving Dictionary Learning with Gated Sparse Autoencoders. CoRR Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma, János Kramár, Rohin Shah, Neel Nanda
2024	A*	`conf`	Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders. NeurIPS Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma, János Kramár, Rohin Shah, Neel Nanda
2021	J	`jnl`	Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective. CoRR Lewis Smith, Joost van Amersfoort, Haiwen Huang, Stephen J. Roberts, Yarin Gal
2021	J	`jnl`	Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression. CoRR Joost van Amersfoort, Lewis Smith, Andrew Jesson, Oscar Key, Yarin Gal
2021	J	`jnl`	Quantifying Uncertainty for Machine Learning Based Diagnostic. CoRR Owen Convery, Lewis Smith, Yarin Gal, Adi Hanuka
2020	J	`jnl`	Capsule Networks - A Probabilistic Perspective. CoRR Lewis Smith, Lisa Schut, Yarin Gal, Mark van der Wilk
2020	A*	`conf`	Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations. NeurIPS Sebastian Farquhar, Lewis Smith, Yarin Gal
2020	J	`jnl`	Semi-supervised Learning of Galaxy Morphology using Equivariant Transformer Variational Autoencoders. CoRR Mizu Nishikawa-Toomey, Lewis Smith, Yarin Gal
2020	J	`jnl`	Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network. CoRR Joost van Amersfoort, Lewis Smith, Yee Whye Teh, Yarin Gal
2020	J	`jnl`	Try Depth Instead of Weight Correlations: Mean-field is a Less Restrictive Assumption for Deeper Networks. CoRR Sebastian Farquhar, Lewis Smith, Yarin Gal
2020	A*	`conf`	Uncertainty Estimation Using a Single Deep Deterministic Neural Network. ICML Joost van Amersfoort, Lewis Smith, Yee Whye Teh, Yarin Gal
2019	J	`jnl`	A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks. CoRR Angelos Filos, Sebastian Farquhar, Aidan N. Gomez, Tim G. J. Rudner, Zachary Kenton, Lewis Smith, Milad Alizadeh, Arnoud de Kroon, Yarin Gal
2019	J	`jnl`	Flood Detection On Low Cost Orbital Hardware. CoRR Gonzalo Mateo-Garcia, Silviu Oprea, Lewis Smith, Josh Veitch-Michaelis, Guy Schumann, Yarin Gal, Atilim Günes Baydin, Dietmar Backes
2019	J	`jnl`	Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning. CoRR 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
2018	J	`jnl`	Idealised Bayesian Neural Networks Cannot Have Adversarial Examples: Theoretical and Empirical Study. CoRR Yarin Gal, Lewis Smith
2018	A	`conf`	Understanding Measures of Uncertainty for Adversarial Example Detection. UAI Lewis Smith, Yarin Gal
2018	J	`jnl`	Understanding Measures of Uncertainty for Adversarial Example Detection. CoRR Lewis Smith, Yarin Gal