Oliver M. Crook

According to our database, Oliver M. Crook authored at least 13 papers between 2018 and 2026.

Collaborative distances:

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

2026

Retrieval and competition: how a protein foundation model starts a protein.

Piotr Jedryszek, Oliver M. Crook

CoRR, May, 2026

Stable and Steerable Sparse Autoencoders with Weight Regularization.

Piotr Jedryszek, Oliver M. Crook

CoRR, March, 2026

Securing Dual-Use Pathogen Data of Concern.

Doni Bloomfield, Allison Berke, Moritz S. Hanke, Aaron Maiwald, James R. M. Black, Toby Webster, Tina Hernandez-Boussard, Oliver M. Crook, Jassi Pannu

CoRR, February, 2026

2025

Open-weight genome language model safeguards: Assessing robustness via adversarial fine-tuning.

James R. M. Black, Moritz S. Hanke, Aaron Maiwald, Tina Hernandez-Boussard, Oliver M. Crook, Jaspreet Pannu

CoRR, November, 2025

2024

A linear transportation Lp distance for pattern recognition.

Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis

Pattern Recognit., March, 2024

2022

Improving lab-of-origin prediction of genetically engineered plasmids via deep metric learning.

Igor Muniz Soares, Fernando H. F. Camargo, Adriano Marques, Oliver M. Crook

Nat. Comput. Sci., 2022

2021

Deep metric learning improves lab of origin prediction of genetically engineered plasmids.

Igor Muniz Soares, Fernando H. F. Camargo, Adriano Marques, Oliver M. Crook

CoRR, 2021

Analysis of the first Genetic Engineering Attribution Challenge.

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

CoRR, 2021

2020

A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection.

Oliver M. Crook, Aikaterini Geladaki, Daniel J. H. Nightingale, Owen L. Vennard, Kathryn S. Lilley, Laurent Gatto, Paul D. W. Kirk

PLoS Comput. Biol., November, 2020

A Linear Transportation L^p Distance for Pattern Recognition.

Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis

CoRR, 2020

2019

A Bioconductor workflow for the Bayesian analysis of spatial proteomics.

Oliver M. Crook, Lisa M. Breckels, Kathryn S. Lilley, Paul D. W. Kirk, Laurent Gatto

F1000Research, 2019

PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds.

Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis

CoRR, 2019

2018

A Bayesian mixture modelling approach for spatial proteomics.

Oliver M. Crook, Claire M. Mulvey, Paul D. W. Kirk, Kathryn S. Lilley, Laurent Gatto

PLoS Comput. Biol., 2018