Tsallis statistics for artificial intelligence, built on JAX. q-deformed entropies, distributions and activations as pure, differentiable functions, with an entropic index you can learn by gradient descent.
R package for isoform-usage complexity quantification and modeling in RNA‑seq data.
Proposition : Cadre théorique proposant la gravité comme une propriété émergente de la frustration géometrico-informationnelle du vide (CPSD/TGU). Une unification via la géométrie de Ruppeiner et la thermodynamique non-extensive
Diversity Indices with Statistical Inference
Replication materials for Q-RID anomaly detection in water distribution systems
Learnable Tsallis Graph Attention
🌌 Explore the dynamic nature of quantum vacuum with "Géométrie du Vide," focusing on how geometry shapes light-matter interactions through innovative engineering.
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