Technical Report
Technical reports detail the development and evaluation of novel methods and systems across diverse scientific domains. Current research focuses on improving the performance and efficiency of large language models (LLMs), including advancements in model architectures like transformers and the use of techniques such as retrieval-augmented generation and knowledge distillation. These improvements are driving progress in areas such as autonomous programming, biomolecular structure prediction, and AI-powered solutions for industrial applications, ultimately accelerating scientific discovery and technological innovation.
Papers
The use of Octree in point cloud analysis with application to cultural heritage
Rafał Bieńkowski, Krzysztof E. Rutkowski
Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees -- Technical Report
Daniel Frank, Decky Aspandi Latif, Michael Muehlebach, Benjamin Unger, Steffen Staab