Author

Antoine Cully

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#artificial intelligence Preprint Oct 2026

Uncovering the Generative Landscape of Diffusion Models: A Spectral-Guided Quality-Diversity Diffusion Framework

Denoising Diffusion Probabilistic Models have emerged as powerful generative priors across domains ranging from molecular design to high-resolution image synthesis. However, standard diffusion sampling is inherently biased toward high-likelihood regions, often limiting the diversity of outputs. In many domains, a singl...

Hannah Janmohamed, João Correia, Penousal Machado et al. · 0 citations

Aug 2026

Quality-Diversity Reinforcement Learning using Behavior Regulated Policy Gradient

BRPG-MAP-Elites is introduced, a new QD-RL algorithm adopting a strictly Markovian actor-critic architecture within the MAP-Elites framework that demonstrates a 43% improvement in average QD-scores over DCRL-MAP-Elites and achieves higher robustness in the generated policies.

Runjun Mao, Antoine Cully · ACM Transactions on Evolutio... · 0 citations