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stat.ML2026
Quenched Ensemble Sampling
David Yallup
Some of the sharpest challenges in sampling from the energy functions of physical systems arise at phase transitions, where the density of states changes abruptly and many sampling…
stat.ML2022
Split personalities in Bayesian Neural Networks: the case for full marginalisation
David Yallup, Will Handley, Mike Hobson +2
The true posterior distribution of a Bayesian neural network is massively multimodal. Whilst most of these modes are functionally equivalent, we demonstrate that there remains a le…