Empirical robustness evaluation (RE) of deep learning models against
adv...
Imposing explicit constraints is relatively new but increasingly pressin...
Empirical evaluation of deep learning models against adversarial attacks...
Optimizing nonconvex (NCVX) problems, especially nonsmooth and constrain...
We present quadratically convergent algorithms to compute the extremal v...
We consider frequency-weighted damping optimization for vibrating system...
In this paper, we generalize existing frameworks for
ℋ_2⊗ℒ_2-optimal mod...
We analyze existing methods for computing the numerical radius and intro...
Given two square matrices A and B, we propose a new algorithm for
comput...
The Kreiss constant of a matrix and the distance to uncontrollability ca...
The identification of reduced-order models from high-dimensional data is...