no code implementations • 5 Nov 2022 • Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus
Natural laws are often described through differential equations yet finding a differential equation that describes the governing law underlying observed data is a challenging and still mostly manual task.
1 code implementation • 10 Jun 2021 • Sören Becker, Thomas Wiegand, Sebastian Bosse
The performance of visual quality prediction models is commonly assumed to be closely tied to their ability to capture perceptually relevant image aspects.
2 code implementations • 9 Jul 2018 • Sören Becker, Marcel Ackermann, Sebastian Lapuschkin, Klaus-Robert Müller, Wojciech Samek
Interpretability of deep neural networks is a recently emerging area of machine learning research targeting a better understanding of how models perform feature selection and derive their classification decisions.