Welcome!
In 2000, the Signal Processing and Speech Communication Laboratory (SPSC Lab) of Graz University of Technology (TU Graz) was founded as a research and education center in nonlinear signal processing and computational intelligence, algorithm engineering, as well as circuits & systems modeling and design. It covers applications in wireless communications, speech/audio communication, and telecommunications.
If you want to learn more about Signal Processing, click: What is Signal Processing?
The Research of SPSC Lab addresses fundamental and applied research problems in five scientific areas:
- Audio and Acoustics
- Intelligent Systems
- Nonlinear Signal Processing
- Speech Communication
- Wireless Communications
Profiles
Result of the Month
Regularizing PINNs against Unstable Fixed Points
Physics-informed neural networks (PINNs) suffer from training issues if they are used to learn the solution to a differential equation given only initial and boundary conditions. Previous work has shown that, among other causes, fixed points of differential equations can significantly affect training behavior. Specifically, any fixed point solution is a global minimum of the physics loss that is used to regularize PINNs. Hence, if during training the PINN solution comes close to a fixed point solution, this latter solution can become a local minimmum in the loss landscape in which the PINN gets stuck. This issue becomes critical if these fixed point solutions are unstable, effectively rendering the PINN behavior unphysical.
Read the full article.Contact: Bernhard Geiger