2 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
Sparks of Science: Hypothesis Generation Using Structured Paper Data
Charles O'Neill, Tirthankar Ghosal, Roberta RÄileanu +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…