Deep Learning

A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShift

We utilize the TaylorShift attention mechanism for global pixel-wise-attention in image super-resolution.

Sanath Budakegowdanadoddi Nagaraju, Brian Bernhard Moser, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Andreas Dengel

At its core, Albatross is a research project in the area of continual learning.

Sustainable Embedded AI

Energy- and data-saving methods for environmental perception in embedded AI systems using the case study of smart factory and smart farming applications; funded by the Carl Zeiss Foundation.

SustainML is dedicated to creating a sustainable ML framework for Green AI. By prioritizing energy efficiency, SustainML aims to pave the way for environmentally conscious AI solutions that are both efficient and effective.

Explaining Graph Neural Networks

We extend and test KEdge, an interpretable-by-design approach for graph neural networks, and compare it to gradient-based attribution techniques.

Tobias Christian Nauen, Thorben Funke, Avishek Anand

Explaining Graph Neural Networks