
Explore perturbative field theory's applications in particle physics, statistical mechanics, and functional analysis, focusing on divergence regularization and optimal transportation.

Explore the potential of generalised divergences in enhancing invariant neural networks, examining their impact on network performance and robustness.

Explore relations, divergences, and Dirac structures in mathematical physics. Gain insights into advanced concepts and their applications in theoretical frameworks.