Oliver M. Crook

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Securing Dual-Use Pathogen Data of Concern.
CoRR
Doni Bloomfield, Allison Berke, Moritz S. Hanke, Aaron Maiwald, James R. M. Black, Toby Webster, Tina Hernandez-Boussard, Oliver M. Crook, Jassi Pannu
2026 J jnl
Stable and Steerable Sparse Autoencoders with Weight Regularization.
CoRR
Piotr Jedryszek, Oliver M. Crook
2025 J jnl
Open-weight genome language model safeguards: Assessing robustness via adversarial fine-tuning.
CoRR
James R. M. Black, Moritz S. Hanke, Aaron Maiwald, Tina Hernandez-Boussard, Oliver M. Crook, Jaspreet Pannu
2024 J jnl
A linear transportation Lp distance for pattern recognition.
Pattern Recognit.
Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
2022 J jnl
Improving lab-of-origin prediction of genetically engineered plasmids via deep metric learning.
Nat. Comput. Sci.
Igor Muniz Soares, Fernando H. F. Camargo, Adriano Marques, Oliver M. Crook
2021 J jnl
Analysis of the first Genetic Engineering Attribution Challenge.
CoRR
Oliver M. Crook, Kelsey Lane Warmbrod, Greg Lipstein, Christine Chung, Christopher W. Bakerlee, T. Greg McKelvey Jr., Shelly R. Holland, Jacob L. Swett, Kevin M. Esvelt, Ethan C. Alley, William J. Bradshaw
2021 J jnl
Deep metric learning improves lab of origin prediction of genetically engineered plasmids.
CoRR
Igor Muniz Soares, Fernando H. F. Camargo, Adriano Marques, Oliver M. Crook
2020 J jnl
A Linear Transportation L
CoRR
Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
2020 J jnl
A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection.
PLoS Comput. Biol.
Oliver M. Crook, Aikaterini Geladaki, Daniel J. H. Nightingale, Owen L. Vennard, Kathryn S. Lilley, Laurent Gatto, Paul D. W. Kirk
2019 J jnl
A Bioconductor workflow for the Bayesian analysis of spatial proteomics.
F1000Research
Oliver M. Crook, Lisa M. Breckels, Kathryn S. Lilley, Paul D. W. Kirk, Laurent Gatto
2019 J jnl
PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds.
CoRR
Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
2018 J jnl
A Bayesian mixture modelling approach for spatial proteomics.
PLoS Comput. Biol.
Oliver M. Crook, Claire M. Mulvey, Paul D. W. Kirk, Kathryn S. Lilley, Laurent Gatto