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cs.LG2026
Quantitative Gaussian-Process limits of Tensor Programs
Andrea Agazzi, Eloy Mosig García, Dario Trevisan
We study the infinite-width Gaussian-process limit of random neural networks through the lens of tensor programs, and we provide a quantitative convergence theory in Wasserstein di…
cs.LG2025
Global Optimization via Softmin Energy Minimization
Andrea Agazzi, Vittorio Carlei, Marco Romito +1
Global optimization, particularly for non-convex functions with multiple local minima, poses significant challenges for traditional gradient-based methods. While metaheuristic appr…