5 papers
Trade-off invariance for weighted scalarizations in multi-objective optimization
Jona Klemenc, Alessandro Scagliotti
We consider weighted-sum scalarizations for an abstract multi-objective minimization problem defined by the vector-valued map , where is…
From Consensus-Based Optimization to Evolution Strategies: Proof of Global Convergence
Massimo Fornasier, Hui Huang, Jona Klemenc +1
Consensus-based optimization (CBO) is a powerful and versatile zero-order multi-particle method designed to provably solve high-dimensional global optimization problems, including…
Balanced quasistatic evolutions of critical points in metric spaces
Stefano Almi, Massimo Fornasier, Jona Klemenc +1
Quasistatic evolutions of critical points of time-dependent energies exhibit piecewise smooth behavior, making them useful for modeling continuum mechanics phenomena like elastic-p…
Trade-off Invariance Principle for minimizers of regularized functionals
Massimo Fornasier, Jona Klemenc, Alessandro Scagliotti
In this paper, we consider functionals of the form with , where varies in a set (without further structure). We first r…
A-BDD: Leveraging Data Augmentations for Safe Autonomous Driving in Adverse Weather and Lighting
Felix Assion, Florens Gressner, Nitin Augustine +6
High-autonomy vehicle functions rely on machine learning (ML) algorithms to understand the environment. Despite displaying remarkable performance in fair weather scenarios, percept…