Sebastian Farquhar

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 44

Top Topics

Avoid Overfitting

Variational Inference

Active Learning

Top Venues

Publications

Laura Weidinger, Joslyn Barnhart, Jenny Brennan, Christina Butterfield, Susie Young, Will Hawkins, Lisa Anne Hendricks, Ramona Comanescu, Oscar Chang, Mikel Rodriguez, Jennifer Beroshi, Dawn Bloxwich, Lev Proleev, Jilin Chen, Sebastian Farquhar, Lewis Ho, Iason Gabriel, Allan Dafoe, William Isaac
Holistic Safety and Responsibility Evaluations of Advanced AI Models. CoRR (2024)
Zachary Kenton, Ramana Kumar, Sebastian Farquhar, Jonathan Richens, Matt MacDermott, Tom Everitt
Discovering Agents (Abstract Reprint). AAAI (2024)
Mary Phuong, Matthew Aitchison, Elliot Catt, Sarah Cogan, Alexandre Kaskasoli, Victoria Krakovna, David Lindner, Matthew Rahtz, Yannis Assael, Sarah Hodkinson, Heidi Howard, Tom Lieberum, Ramana Kumar, Maria Abi Raad, Albert Webson, Lewis Ho, Sharon Lin, Sebastian Farquhar, Marcus Hutter, Grégoire Delétang, Anian Ruoss, Seliem El-Sayed, Sasha Brown, Anca D. Dragan, Rohin Shah, Allan Dafoe, Toby Shevlane
Evaluating Frontier Models for Dangerous Capabilities. CoRR (2024)
Sebastian Farquhar, Jannik Kossen, Lorenz Kuhn, Yarin Gal
Detecting hallucinations in large language models using semantic entropy. Nat. 630 (8017) (2024)
David Lindner, János Kramár, Sebastian Farquhar, Matthew Rahtz, Tom McGrath, Vladimir Mikulik
Tracr: Compiled Transformers as a Laboratory for Interpretability. NeurIPS (2023)
Lorenz Kuhn, Yarin Gal, Sebastian Farquhar
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation. CoRR (2023)
Sebastian Farquhar, Vikrant Varma, Zachary Kenton, Johannes Gasteiger, Vladimir Mikulik, Rohin Shah
Challenges with unsupervised LLM knowledge discovery. CoRR (2023)
Toby Shevlane, Sebastian Farquhar, Ben Garfinkel, Mary Phuong, Jess Whittlestone, Jade Leung, Daniel Kokotajlo, Nahema Marchal, Markus Anderljung, Noam Kolt, Lewis Ho, Divya Siddarth, Shahar Avin, Will Hawkins, Been Kim, Iason Gabriel, Vijay Bolina, Jack Clark, Yoshua Bengio, Paul F. Christiano, Allan Dafoe
Model evaluation for extreme risks. CoRR (2023)
Freddie Bickford Smith, Andreas Kirsch, Sebastian Farquhar, Yarin Gal, Adam Foster, Tom Rainforth
Prediction-Oriented Bayesian Active Learning. AISTATS (2023)
Lorenz Kuhn, Yarin Gal, Sebastian Farquhar
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation. ICLR (2023)
Andreas Kirsch, Sebastian Farquhar, Parmida Atighehchian, Andrew Jesson, Frédéric Branchaud-Charron, Yarin Gal
Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning. Trans. Mach. Learn. Res. 2023 (2023)
Zachary Kenton, Ramana Kumar, Sebastian Farquhar, Jonathan Richens, Matt MacDermott, Tom Everitt
Discovering agents. Artif. Intell. 322 (2023)
Mrinank Sharma, Sebastian Farquhar, Eric T. Nalisnick, Tom Rainforth
Do Bayesian Neural Networks Need To Be Fully Stochastic? AISTATS (2023)
Freddie Bickford Smith, Andreas Kirsch, Sebastian Farquhar, Yarin Gal, Adam Foster, Tom Rainforth
Prediction-Oriented Bayesian Active Learning. CoRR (2023)
Milad Alizadeh, Shyam A. Tailor, Luisa M. Zintgraf, Joost van Amersfoort, Sebastian Farquhar, Nicholas Donald Lane, Yarin Gal
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients. CoRR (2022)
Sebastian Farquhar, Ryan Carey, Tom Everitt
Path-Specific Objectives for Safer Agent Incentives. AAAI (2022)
Zachary Kenton, Ramana Kumar, Sebastian Farquhar, Jonathan Richens, Matt MacDermott, Tom Everitt
Discovering Agents. CoRR (2022)
Lorenz Kuhn, Yarin Gal, Sebastian Farquhar
CLAM: Selective Clarification for Ambiguous Questions with Large Language Models. CoRR (2022)
Sebastian Farquhar, Ryan Carey, Tom Everitt
Path-Specific Objectives for Safer Agent Incentives. CoRR (2022)
Milad Alizadeh, Shyam A. Tailor, Luisa M. Zintgraf, Joost van Amersfoort, Sebastian Farquhar, Nicholas Donald Lane, Yarin Gal
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients. ICLR (2022)
Jannik Kossen, Sebastian Farquhar, Yarin Gal, Tom Rainforth
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation. CoRR (2022)
Sören Mindermann, Jan Markus Brauner, Muhammed Razzak, Mrinank Sharma, Andreas Kirsch, Winnie Xu, Benedikt Höltgen, Aidan N. Gomez, Adrien Morisot, Sebastian Farquhar, Yarin Gal
Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt. ICML (2022)
Sebastian Farquhar
Understanding Approximation for Bayesian Inference in Neural Networks. CoRR (2022)
Sören Mindermann, Jan Markus Brauner, Muhammed Razzak, Mrinank Sharma, Andreas Kirsch, Winnie Xu, Benedikt Höltgen, Aidan N. Gomez, Adrien Morisot, Sebastian Farquhar, Yarin Gal
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt. CoRR (2022)
Jannik Kossen, Sebastian Farquhar, Yarin Gal, Thomas Rainforth
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation. NeurIPS (2022)
Mrinank Sharma, Sebastian Farquhar, Eric Nalisnick, Tom Rainforth
Do Bayesian Neural Networks Need To Be Fully Stochastic? CoRR (2022)
Sebastian Farquhar, Yarin Gal, Tom Rainforth
On Statistical Bias In Active Learning: How and When To Fix It. CoRR (2021)
Andreas Kirsch, Sebastian Farquhar, Yarin Gal
A Simple Baseline for Batch Active Learning with Stochastic Acquisition Functions. CoRR (2021)
Sebastian Farquhar, Yarin Gal, Tom Rainforth
On Statistical Bias In Active Learning: How and When to Fix It. ICLR (2021)
Sören Mindermann, Muhammed Razzak, Winnie Xu, Andreas Kirsch, Mrinank Sharma, Adrien Morisot, Aidan N. Gomez, Sebastian Farquhar, Jan Markus Brauner, Yarin Gal
Prioritized training on points that are learnable, worth learning, and not yet learned. CoRR (2021)
Jannik Kossen, Sebastian Farquhar, Yarin Gal, Tom Rainforth
Active Testing: Sample-Efficient Model Evaluation. ICML (2021)
Jannik Kossen, Sebastian Farquhar, Yarin Gal, Tom Rainforth
Active Testing: Sample-Efficient Model Evaluation. CoRR (2021)
Andrew Gordon Wilson, Pavel Izmailov, Matthew D. Hoffman, Yarin Gal, Yingzhen Li, Melanie F. Pradier, Sharad Vikram, Andrew Y. K. Foong, Sanae Lotfi, Sebastian Farquhar
Evaluating Approximate Inference in Bayesian Deep Learning. NeurIPS (Competition and Demos) (2021)
Zachary Nado, Neil Band, Mark Collier, Josip Djolonga, Michael W. Dusenberry, Sebastian Farquhar, Angelos Filos, Marton Havasi, Rodolphe Jenatton, Ghassen Jerfel, Jeremiah Liu, Zelda Mariet, Jeremy Nixon, Shreyas Padhy, Jie Ren, Tim G. J. Rudner, Yeming Wen, Florian Wenzel, Kevin Murphy, D. Sculley, Balaji Lakshminarayanan, Jasper Snoek, Yarin Gal, Dustin Tran
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning. CoRR (2021)
Sebastian Farquhar, Michael A. Osborne, Yarin Gal
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning. AISTATS (2020)
Joost van Amersfoort, Milad Alizadeh, Sebastian Farquhar, Nicholas D. Lane, Yarin Gal
Single Shot Structured Pruning Before Training. CoRR (2020)
Sebastian Farquhar, Lewis Smith, Yarin Gal
Try Depth Instead of Weight Correlations: Mean-field is a Less Restrictive Assumption for Deeper Networks. CoRR (2020)
Sebastian Farquhar, Lewis Smith, Yarin Gal
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations. NeurIPS (2020)
Sebastian Farquhar, Yarin Gal
Differentially Private Continual Learning. CoRR (2019)
Sebastian Farquhar, Michael A. Osborne, Yarin Gal
Radial Bayesian Neural Networks: Robust Variational Inference In Big Models. CoRR (2019)
Angelos Filos, Sebastian Farquhar, Aidan N. Gomez, Tim G. J. Rudner, Zachary Kenton, Lewis Smith, Milad Alizadeh, Arnoud de Kroon, Yarin Gal
A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks. CoRR (2019)
Sebastian Farquhar, Yarin Gal
A Unifying Bayesian View of Continual Learning. CoRR (2019)
Miles Brundage, Shahar Avin, Jack Clark, Helen Toner, Peter Eckersley, Ben Garfinkel, Allan Dafoe, Paul Scharre, Thomas Zeitzoff, Bobby Filar, Hyrum S. Anderson, Heather Roff, Gregory C. Allen, Jacob Steinhardt, Carrick Flynn, Seán Ó hÉigeartaigh, Simon Beard, Haydn Belfield, Sebastian Farquhar, Clare Lyle, Rebecca Crootof, Owain Evans, Michael Page, Joanna Bryson, Roman Yampolskiy, Dario Amodei
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation. CoRR (2018)
Sebastian Farquhar, Yarin Gal
Towards Robust Evaluations of Continual Learning. CoRR (2018)