Johannes Schoder, Institute for Computer Science, University of Jena Title: First Steps Towards Bringing Automatic Differentiation to Scale with RISC-V Abstract: Small adaptions to the control unit and datapath of a RISC-V processor enable us to apply forward-mode automatic differentiation … Continue reading →

Timo Sonnenschein, Department of Computer Science, University of Kaiserslautern-Landau (RPTU) Title: Introduction to Implicit Layers in the context of Deep Equilibrium Models Abstract: Training modern neural networks can be challenging with the limited memory of specialized hardware. Reusing parameters and … Continue reading →

Anuja Chakraborty, Department of Computer Science, University of Kaiserslautern-Landau (RPTU) Title: On Compressed Sensing and Dynamic Mode Decomposition Abstract: This talk is focused on the discussion regarding the development and application of compressed sensing strategies for computing the dynamic mode … Continue reading →

Dr. Alexander Linke , Chair for Scientific Computing (SciComp), University of Kaiserslautern-Landau (RPTU) Title: On the Discretization of the Incompressible Navier–Stokes Equations, an Elephant in the Room, and a Conceptual Update for Discretizing Constrained PDEs Abstract: The dynamics of the … Continue reading →

Ket Yee Lee, RHRZ@RPTU and University of Applied Sciences Kaiserslautern Title: Data Preprocessing Using NLP for Ticket Dispatching with Classical Classification Methods Abstract: Writing a support request from a customer perspective can be challenging. From a data science point of … Continue reading →

Dr. Kazuki Hayashi , Assistant Professor, Department of Architecture and Architectural Engineering, Kyoto University, Japan Title: Extracting meaningful features from data with irregular connectivity for structural optimization Abstract: The data handled by machine learning is not necessarily aligned in a … Continue reading →

Amin Jafarimoghaddam, Department of Aerospace Engineering, Universidad Carlos III, Madrid, Spain Title: From Residual Neural Networks to Neural ODEs – theory and applications Abstract: This talk explores key developments in neural network architectures. The discussion begins with an examination of … Continue reading →

Lukas Baumgärtner, Department of Mathematics, Humboldt University Berlin and PD Dr. Stephan Schmidt, Department of Mathematics, University of Trier Title: Using Transport Equations for Image Processing and Mesh Generation in Medical Applications Abstract: We consider the use of transport equations … Continue reading →

Prof. Dr. Nicolas Gauger, Chair for Scientific Computing (SciComp), TU Kaiserslautern SciComp Seminar Series Please contact Prof. Gauger, if you want to register for an online talk in our SciComp Seminar Series or just to register for the seminar. A … Continue reading →