Training Binarized Neural Networks the Easy Way. - Alasdair Paren; Rudra P. K. Poudel (BMVC, 2022)

A Stochastic Bundle Method for Interpolating Networks. - Alasdair Paren; Leonard Berrada; Rudra P. K. Poudel; M. Pawan Kumar (CoRR, 2022)

A Stochastic Bundle Method for Interpolation. - Alasdair Paren; Leonard Berrada; Rudra P. K. Poudel; M. Pawan Kumar (J. Mach. Learn. Res., 2022)

Faking Interpolation Until You Make It. - Alasdair Paren; Rudra P. K. Poudel; M. Pawan Kumar (Trans. Mach. Learn. Res., 2022)

Universal In-Context Approximation By Prompting Fully Recurrent Models. - Aleksandar Petrov; Tom A. Lamb; Alasdair Paren; Philip Torr 001; Adel Bibi (NeurIPS, 2024)

Focus On This, Not That! Steering LLMs With Adaptive Feature Specification. - Tom A. Lamb; Adam Davies; Alasdair Paren; Philip H. S. Torr; Francesco Pinto (CoRR, 2024)

Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders. - Luke Marks; Alasdair Paren; David Krueger 001; Fazl Barez (CoRR, 2024)

Shh, don't say that! Domain Certification in LLMs. - Cornelius Emde; Alasdair Paren; Preetham Arvind; Maxime Guillaume Kayser; Tom Rainforth; Thomas Lukasiewicz; Philip Torr 001; Adel Bibi (ICLR, 2025)

Shh, don't say that! Domain Certification in LLMs. - Cornelius Emde; Alasdair Paren; Preetham Arvind; Maxime Kayser; Tom Rainforth; Thomas Lukasiewicz; Bernard Ghanem; Philip H. S. Torr; Adel Bibi (CoRR, 2025)

Attacking Multimodal OS Agents with Malicious Image Patches. - Lukas Aichberger; Alasdair Paren; Yarin Gal; Philip Torr 001; Adel Bibi (CoRR, 2025)