Nandi Schoots

According to our database, Nandi Schoots authored at least 21 papers between 2021 and 2026.

Collaborative distances:

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

2026

One Mask to Rule Them All: On Hidden Facts after Editing and How to Find Them.

Ali Holmov, Paul Youssef, Nandi Schoots, Christin Seifert

CoRR, May, 2026

Soft Contamination Means Benchmarks Test Shallow Generalization.

Ari Spiesberger, Juan J. Vazquez, Nicky Pochinkov, Tomas Gavenciak, Peli Grietzer, Gavin Leech, Nandi Schoots

CoRR, February, 2026

Punctuations and Predicates in Language Models.

Sonakshi Chauhan, Maheep Chaudhary, Kwan Kiu Choy, Samuel Nellessen, Nandi Schoots

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

Punctuation and Predicates in Language Models.

Sonakshi Chauhan, Maheep Chaudhary, Koby Choy, Samuel Nellessen, Nandi Schoots

CoRR, August, 2025

Modular Training of Neural Networks aids Interpretability.

Satvik Golechha, Maheep Chaudhary, Joan Velja, Alessandro Abate, Nandi Schoots

CoRR, February, 2025

Open Problems in Mechanistic Interpretability.

Lee Sharkey, Bilal Chughtai, Joshua Batson, Jack Lindsey, Jeffrey Wu, Lucius Bushnaq, Nicholas Goldowsky-Dill, Stefan Heimersheim, Alejandro Ortega, Joseph Isaac Bloom, Stella Biderman, Adrià Garriga-Alonso, Arthur Conmy, Neel Nanda, Jessica Rumbelow, Martin Wattenberg, Nandi Schoots, Joseph Miller, William Saunders, Eric J. Michaud, Stephen Casper, Max Tegmark, David Bau, Eric Todd, Atticus Geiger, Mor Geva, Jesse Hoogland, Daniel Murfet, Tom McGrath

Trans. Mach. Learn. Res., 2025

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

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Any ReLU Network Is Shallow.

Mattia Jacopo Villani, Nandi Schoots

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks.

Nandi Schoots, Mattia Jacopo Villani, Niels uit de Bos

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

The Propensity for Density in Feed-forward Models.

Nandi Schoots, Alex Jackson, Ali Kholmovaia, Peter McBurney, Murray Shanahan

CoRR, 2024

Extending Activation Steering to Broad Skills and Multiple Behaviours.

Teun van der Weij, Massimo Poesio, Nandi Schoots

CoRR, 2024

Dissecting Language Models: Machine Unlearning via Selective Pruning.

Nicholas Pochinkov, Nandi Schoots

CoRR, 2024

The Propensity for Density in Feed-Forward Models.

Nandi Schoots, Alex Jackson, Ali Kholmovia, Peter McBurney, Murray Shanahan

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Channel Randomisation Methods for Zero-Shot Communication.

Dylan Cope, Nandi Schoots

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Improving Activation Steering in Language Models with Mean-Centring.

Ole Jorgensen, Dylan Cope, Nandi Schoots, Murray Shanahan

CoRR, 2023

Comparing Optimization Targets for Contrast-Consistent Search.

Hugo Fry, Seamus Fallows, Ian Fan, Jamie Wright, Nandi Schoots

CoRR, 2023

Any Deep ReLU Network is Shallow.

Mattia Jacopo Villani, Nandi Schoots

CoRR, 2023

Low-Entropy Latent Variables Hurt Out-of-Distribution Performance.

Nandi Schoots, Dylan Cope

CoRR, 2023

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

Proceedings of the International Conference on Machine Learning, 2023

2021

Learning to Communicate with Strangers via Channel Randomisation Methods.

Dylan Cope, Nandi Schoots

CoRR, 2021

Safety Properties of Inductive Logic Programming.

Gavin Leech, Nandi Schoots, Joar Skalse

Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021) co-located with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021