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math.OC2025
Strong Global Convergence of the Consensus-Based Optimization Algorithm
Sabrina Bonandin, Konstantin Riedl, Sara Veneruso
Consensus-based optimization (CBO) is a multi-agent metaheuristic derivative-free optimization algorithm that has proven to be capable of globally minimizing nonconvex nonsmooth fu…
cs.LG2025
Global Convergence of Adjoint-Optimized Neural PDEs
Konstantin Riedl, Justin Sirignano, Konstantinos Spiliopoulos
Many engineering and scientific fields have recently become interested in modeling terms in partial differential equations (PDEs) with neural networks, which requires solving the i…