SC Seminar: Ralf Zimmermann
Prof. Ralf Zimmermann, Department of Mathematics and Computer Science (IMADA), University of Southern Denmark (SDU), Denmark Title: How to interpolate low-rank matrix decompositions? Computing the Riemannian normal coordinates in the space of orthogonal frames Abstract: We address the problem of … Continue reading
SC Seminar: Emre Özkaya
Dr. Emre Özkaya, Chair for Scientific Computing (SciComp), TU Kaiserslautern Title: Robust Design Optimization Package: RoDeO Abstract: RoDeO (Robust Design Optimization Package) is a package for simulation based global design optimization. It is specifically designed for scientific/engineering applications, in which … Continue reading
SC Seminar: Jan Rottmayer
Jan Rottmayer, TU Kaiserslautern Title: Flow Control via Reduced Order Models Abstract: The optimization of systems governed by nonlinear partial differential equations requires solving large-scale systems of equations at each iteration throughout the design process. The reduction of model dimension … Continue reading
SC Seminar: Max Sagebaum
Dr. Max Sagebaum, Chair for Scientific Computing (SciComp), TU Kaiserslautern Title: Aggregated type handling in CoDiPack Abstract: The development of AD tools focuses mostly on handling floating point types in the target language. Taping optimizations in these tools mostly focus … Continue reading
SC Seminar: Shalini Shalini
Shalini Shalini, TU Kaiserslautern Title: Sparse Deep Neural Network and Hyperparameter Optimization Abstract: Despite the considerable success of deep learning in recent years, it is still challenging to deploy state-of-the-art deep neural networks due to the high computational and memory … Continue reading
SC Seminar: Kavyashree Renukachari
Kavyashree Renukachari, TU Kaiserslautern Title: Estimation of Critical Batch Sizes for Distributed Deep Learning Abstract: The applications of Deep Learning in various domains is increasing, and so is the size of the dataset and the complexity of the model used … Continue reading
SC Seminar: Angel Adrian Rojas Jimenez
Angel Adrian Rojas Jimenez, TU Kaiserslautern Title: On the stochastic global optimization and numerical implementation for classification problems Abstract: Dynamic search trajectories like B.T. Polyak’s heavy ball method have been implemented in order to speed up the convergence rate to … Continue reading
SC Seminar: Avraam Chatzimichailidis
Avraam Chatzimichailidis, Fraunhofer ITWM, Kaiserslautern Title: Second-Order Methods for Neural Networks/Bridging the Gap between Neural Network Pruning and Neural Architecture Search Abstract: Optimization in deep learning is still dominated by first-order gradient methods, such as stochastic gradient descent. Second-order optimization … Continue reading
SC Seminar: Mathias J. Krause
Dr. Mathias J. Krause, Lattice Boltzmann Research Group, Karlsruher Institut für Technologie (KIT) Title: Fluid Flow Optimization with Lattice Boltzmann Methods with Applications Abstract: For many medical as well as technical applications the accurate knowledge of fluid flow dynamics, e.g. … Continue reading
SC Seminar: Jan Rottmayer
Jan Rottmayer, TU Kaiserslautern Title: Reduced Order Modeling and Nonlinear System Identification Techniques for Fluid Dynamics Abstract: Data-driven mathematical methods are increasingly important for characterizing complex dynamical systems across the physical and engineering domain. These methods discover and exploit a … Continue reading