1 citations · 1 across the 1 of their papers we have counts for
3 papers
stat.ML2025
Rao-Blackwellised Reparameterisation Gradients
Kevin H. Lam, Thang D. Bui, George Deligiannidis +1
Latent Gaussian variables have been popularised in probabilistic machine learning. In turn, gradient estimators are the machinery that facilitates gradient-based optimisation for m…
cs.CL2025★ 1 cited
Sparks of Science: Hypothesis Generation Using Structured Paper Data
Charles O'Neill, Tirthankar Ghosal, Roberta Răileanu +4
Generating novel and creative scientific hypotheses is a cornerstone in achieving Artificial General Intelligence. Large language and reasoning models have the potential to aid in…
cs.CL2024
Sparse Autoencoders Enable Scalable and Reliable Circuit Identification in Language Models
Charles O'Neill, Thang Bui
This paper introduces an efficient and robust method for discovering interpretable circuits in large language models using discrete sparse autoencoders. Our approach addresses key…