Safety Properties of Inductive Logic Programming. - Gavin Leech; Nandi Schoots; Joar Skalse (SafeAI@AAAI, 2021)

Learning to Communicate with Strangers via Channel Randomisation Methods. - Dylan Cope; Nandi Schoots (CoRR, 2021)

A theory of representation learning gives a deep generalisation of kernel methods. - Adam X. Yang; Maxime Robeyns; Edward Milsom; Ben Anson; Nandi Schoots; Laurence Aitchison (ICML, 2023)

Low-Entropy Latent Variables Hurt Out-of-Distribution Performance. - Nandi Schoots; Dylan Cope (CoRR, 2023)

Any Deep ReLU Network is Shallow. - Mattia Jacopo Villani; Nandi Schoots (CoRR, 2023)

Comparing Optimization Targets for Contrast-Consistent Search. - Hugo Fry; Seamus Fallows; Ian Fan; Jamie Wright; Nandi Schoots (CoRR, 2023)

Improving Activation Steering in Language Models with Mean-Centring. - Ole Jorgensen; Dylan Cope; Nandi Schoots; Murray Shanahan (CoRR, 2023)

Channel Randomisation Methods for Zero-Shot Communication. - Dylan Cope; Nandi Schoots (ECAI, 2024)

The Propensity for Density in Feed-Forward Models. - Nandi Schoots; Alex Jackson; Ali Kholmovia; Peter McBurney; Murray Shanahan (ECAI, 2024)

Dissecting Language Models: Machine Unlearning via Selective Pruning. - Nicholas Pochinkov; Nandi Schoots (CoRR, 2024)

Extending Activation Steering to Broad Skills and Multiple Behaviours. - Teun van der Weij; Massimo Poesio; Nandi Schoots (CoRR, 2024)

Hidden in Plain Text: Emergence & Mitigation of Steganographic Collusion in LLMs. - Yohan Mathew; Ollie Matthews; Robert McCarthy; Joan Velja; Christian Schröder de Witt; Dylan Cope; Nandi Schoots (CoRR, 2024)

The Propensity for Density in Feed-forward Models. - Nandi Schoots; Alex Jackson; Ali Kholmovaia; Peter McBurney; Murray Shanahan (CoRR, 2024)

Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks. - Nandi Schoots; Mattia Jacopo Villani; Niels uit de Bos (AISTATS, 2025)

Open Problems in Mechanistic Interpretability. - Lee Sharkey; Bilal Chughtai; Joshua Batson; Jack Lindsey; Jeff Wu 003; Lucius Bushnaq; Nicholas Goldowsky-Dill; Stefan Heimersheim; Alejandro Ortega; Joseph Isaac Bloom; Stella Biderman; Adrià Garriga-Alonso; et al. (CoRR, 2025)

Modular Training of Neural Networks aids Interpretability. - Satvik Golechha; Maheep Chaudhary; Joan Velja; Alessandro Abate; Nandi Schoots (CoRR, 2025)

Punctuation and Predicates in Language Models. - Sonakshi Chauhan; Maheep Chaudhary; Koby Choy; Samuel Nellessen; Nandi Schoots (CoRR, 2025)