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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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K. Enakoutsa

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Sep 2026

Configurational nonlocal Hamilton-Jacobi framework for interface propagation

We introduce a class of nonlocal Hamilton–Jacobi equations in which the classical gradient is replaced by a finite-horizon interaction operator, thereby embedding an intrinsic length scale directly into first-order nonlinear evolution. In contrast with integro-differential formulations where nonlocality appears as an a...

K. Enakoutsa · 0 citations
#graph neural networks Open access Sep 2026

Distance-Based Representation Learning with Nonlinear Feature Algebras

<jats:p> Graph neural networks and spectral embeddings aggregate local neighbourhoods and so miss the global metric properties—growth rate, hyperbolicity, boundary at infinity—that govern large-scale structure in hierarchical, networked, and negatively curved data. We propose a fr...

K. Enakoutsa · 0 citations
Jul 2026

An information-geometric framework for nonlocal continuum mechanics

We develop a geometric and variational framework for nonlocal continuum mechanics in which nonlocal interaction kernels are reinterpreted as probabilistic transition structures on the configuration space, placing the theory within the setting of statistical manifolds equipped with the Fisher–Rao metric. After normali...

K. Enakoutsa · 0 citations

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