1 citations · 1 across the 3 of their papers we have counts for
4 papers
Entropy-Based Characterisation of the Polarised Regime in Latent Variable Models
Peter Clapham, Lisa Bonheme, Marek Grzes
Variational Autoencoders (VAEs) often exhibit a polarised regime in which latent variables separate into active, passive, and mixed subsets. Existing criteria for identifying activ…
Can Large Language Models Outperform Non-Experts in Poetry Evaluation? A Comparative Study Using the Consensual Assessment Technique
Piotr Sawicki, Marek Grześ, Dan Brown +1
This study adapts the Consensual Assessment Technique (CAT) for Large Language Models (LLMs), introducing a novel methodology for poetry evaluation. Using a 90-poem dataset with a…
Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning
Théophile Champion, Marek Grześ, Howard Bowman
Model-based reinforcement learning refers to a set of approaches capable of sample-efficient decision making, which create an explicit model of the environment. This model can subs…
Reframing the Expected Free Energy: Four Formulations and a Unification
Théophile Champion, Howard Bowman, Dimitrije Marković +1
Active inference is a leading theory of perception, learning and decision making, which can be applied to neuroscience, robotics, psychology, and machine learning. Active inference…