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Nandi Schoots
Nandi Schoots
PhD student, King's College London, Imperial College London
Verified email at imperial.ac.uk
Title
Cited by
Cited by
Year
A theory of representation learning gives a deep generalisation of kernel methods
AX Yang, M Robeyns, E Milsom, B Anson, N Schoots, L Aitchison
International Conference on Machine Learning, 39380-39415, 2023
11*2023
Any Deep ReLU Network is Shallow
MJ Villani, N Schoots
arXiv preprint arXiv:2306.11827, 2023
42023
Improving activation steering in language models with mean-centring
O Jorgensen, D Cope, N Schoots, M Shanahan
Responsible Language Models @AAAI, 2023
32023
Dissecting Large Language Models
N Pochinkov, N Schoots
Socially Responsible Language Modelling Research @NeurIPS, 2023
22023
Learning to Communicate with Strangers via Channel Randomisation Methods
D Cope, N Schoots
4th Workshop on Emergent Communication at NeurIPS 2020, 2021
22021
Safety Properties of Inductive Logic Programming.
G Leech, N Schoots, J Skalse
SafeAI @AAAI, 2021
22021
Comparing Optimization Targets for Contrast-Consistent Search
H Fry, S Fallows, I Fan, J Wright, N Schoots
Socially Responsible Language Modelling Research @NeurIPS, 2023
12023
Extending Activation Steering to Broad Skills and Multiple Behaviours
T van der Weij, M Poesio, N Schoots
arXiv preprint arXiv:2403.05767, 2024
2024
Finding Sparse Initialisations using Neuroevolutionary Ticket Search (NeTS)
A Jackson, N Schoots, A Ahantab, M Luck, E Black
Artificial Life Conference Proceedings 35 2023 (1), 110, 2023
2023
Low-Entropy Latent Variables Hurt Out-of-Distribution Performance
N Schoots, D Cope
Domain Generalization @ICLR, 2023
2023
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Articles 1–10