SC Seminar: Tahmineh Zakizadeh Fallahabadi
Tahmineh Zakizadeh Fallahabadi, Aon Solution Germany GmbH, Wiesbaden Title: Hyperparameter Optimization for Machine Learning Models using Bayesian Optimization Abstract: Hyperparameters are important for machine learning algorithms since they directly control the behaviours of training algorithms and have a significant effect … Continue reading
SC Seminar: Vassilios Yfantis
Vassilios Yfantis, Chair of Machine Tools and Control Systems (WSKL), TU Kaiserslautern Title: Distributed Optimization of Separable Convex and Integer Programs by Quadratically Approximated Dual Ascent Abstract: In this talk, a new algorithm for dual decomposition-based distributed optimization is presented. … Continue reading
SC Seminar: Rozan I. Rosandi
Rozan I. Rosandi, Differential-Algebraic Systems Group, TU Kaiserslautern Title: A Riemannian Framework for the Isogeometric Shape Optimization of Thin Shells Abstract: Structural optimization is concerned with finding an optimal design for a structure under mechanical load. In this talk, we … Continue reading
SC Seminar: Andrea Walther
Prof. Andrea Walther, Department of Mathematics, Humboldt University Berlin Title: On a semismooth conjugate gradient method Abstract: In machine learning and other large scale applications, nowadays deterministic and stochastic variants of the steepest descent method are widely used for the … Continue reading
SC Seminar: Rohit Pochampalli
Rohit Pochampalli, Chair for Scientific Computing (SciComp), TU Kaiserslautern Title: Scale Separation in Convolutional Neural Networks: A Multigrid Approach Abstract: The remarkable performance of convolutional neural networks on computer vision tasks is closely linked to the properties of the convolutional … Continue reading
SC Seminar: Long Chen
Dr. Long Chen, Chair for Scientific Computing (SciComp), TU Kaiserslautern Title: A Gradient Descent Akin Method for Constrained Optimization Abstract: Motivated by the applications of large-scale shape optimization problems and inspired by singular value decomposition, we present a “gradient descent … Continue reading
SC Seminar: Sharad Kakran
Sharad Kakran, TU Kaiserslautern Title: Generalization of Neural Predictors in Neural Architecture Search, Applied to Computer Vision Abstract: In recent years, the research topic “Neural Architecture Search” has gained a lot of popularity across the research community and industry, which … Continue reading
SC Seminar: Mathieu Morlighem
Prof. Mathieu Morlighem, Department of Earth Sciences, Dartmouth College, Hanover, New Hampshire, USA Title: The challenges of modeling the ice sheets in a changing climate Abstract: Ice sheets are dynamic systems that are among the largest contributors to sea level … Continue reading
SC Seminar: Claudia Schillings
Prof. Claudia Schillings, Institute of Mathematics, University of Mannheim Title: A General Framework for Machine Learning based Optimization Under Uncertainty Abstract: Approaches to decision making and learning mainly rely on optimization techniques to achieve “best” values for parameters and decision … Continue reading
SC Seminar: Domenico Quagliarella
Dr. Domenico Quagliarella, Italian Aerospace Research Centre (CIRA), Capua, Italy Title: Intrusive and non-intrusive approximation techniques for efficient robust aerodynamic shape design using risk functions Abstract: We introduce the use of advanced risk functions, initially conceived in financial engineering, in … Continue reading