Publications

Publications

Conferences

The SaTML '24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability. Stephen Casper, Jieun Yun, Joonhyuk Baek, Yeseong Jung, Minhwan Kim, Kiwan Kwon, Saerom Park, Hayden Moore, David Shriver, Marissa Connor, Keltin Grimes, Angus Nicolson, Arush Tagade, Jessica Rumbelow, Hieu Minh Nguyen, Dylan Hadfield-Menell. SaTML 2024

[Paper] [Conference] [Competition] 

Journals

Developing an understanding of artificial intelligence lung nodule risk prediction using insights from the Brock model. Madhurima R Chetan, Nicholas Dowson, Noah Waterfield Price, Sarim Ather, Angus Nicolson, Fergus V Gleeson. European Radiology 2022.

[Paper] 

Excited-state dynamics of molecules with classically driven trajectories and Gaussians. Lea M Ibele, Angus Nicolson, Basile FE Curchod. Molecular Physics 2020. 

[Paper] 

Workshops

TextCAVs: Debugging vision models using text, Angus Nicolson, Yarin Gal, J. Alison Noble, MICCAI iMIMIC 2024 (Best Paper Award!)

[Workshop] [Paper] 

Sparse Explanations for Gestational Age Prediction in Fetal Brain Ultrasound, Angus Nicolson, Yarin Gal, J. Alison Noble, ICML IMLH 2022

[Workshop] [Paper]  

Preprints

Explaining Explainability: Understanding Concept Activation Vectors, Angus Nicolson, Lisa Schut, J. Alison Noble, Yarin Gal, arxiv 2024

[Paper] 

Reviewing Experience

Program committee for MICCAI Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC) 2023 & 2024

[workshop] 

Program committee for MICCAI Domain Adaptation and Representation Transfer (DART) 2022

[Workshop]