5 papers · 1 filter
-optimal model order reduction using hyperbolic geometry
Andrea Angino, Tamás Dózsa, Matthias Voigt
We revisit the problem of approximating a linear time-invariant LTI model by a reduced-order model (ROM) in an -optimal sense. A widely used method for computing such ROMs is…
Second-order optimization of variable projection SVM models and road abnormality detection
Andrea Angino, Matthias Voigt, Rolf Krause +1
We introduce a novel second-order optimization framework for minimizing so-called variable projection functionals. We demonstrate that the proposed framework is especially usefulfo…
A Non-Monotone Preconditioned Trust-Region Method for Neural Network Training
Andrea Angino, Bindi Çapriqi, Shega Likaj +2
Training deep neural networks at scale can benefit from domain decomposition, where the network is split into subdomains trained in parallel and coupled by a global trust-region me…
Protect the Brain When Treating the Heart: Feasibility of 2.5D U-Net for Real-Time Gaseous Microemboli Detection
Andrea Angino, Ken Trotti, Diego Ulisse Pizzagalli +3
Gaseous microemboli (GME) represent a common complication of cardiac structural interventions across both surgical and transcatheter approaches. Intraoperative transesophageal echo…
Adaptive Kernel Methods
Tamás Dózsa, Andrea Angino, Zoltán Szabó +2
Kernel methods approximate nonlinear maps in a data-driven manner by projecting the target map onto a finite-dimensional Hilbert space called the solution space. Traditionally, thi…