Helena Kotthaus

According to our database, Helena Kotthaus authored at least 16 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Explainability-Aware One Point Attack for Point Cloud Neural Networks.

Hanxiao Tan, Helena Kotthaus

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Yes we care!-Certification for machine learning methods through the care label framework.

Katharina Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich

Frontiers Artif. Intell., 2022

Surrogate Model-Based Explainability Methods for Point Cloud NNs.

Hanxiao Tan, Helena Kotthaus

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

SancScreen: Towards a Real-world Dataset for Evaluating Explainability Methods.

Matthias Jakobs, Helena Kotthaus, Ines Röder, Maximilian Baritz

Proceedings of the LWDA 2022 Workshops: FGWM, 2022

Optimization of ML on Modern Multicore Systems.

Helena Kotthaus, Peter Marwedel

Proceedings of the Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022

Efficient Memory Footprint Reduction.

Helena Kotthaus, Peter Marwedel

Proceedings of the Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022

2021

The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning.

Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Andreas Pauly, Nico Piatkowski

CoRR, 2021

Self-Supervised Source Code Annotation from Related Research Papers.

Pierre Haritz, Lukas Pfahler, Thomas Liebig, Helena Kotthaus

Proceedings of the 2021 International Conference on Data Mining, 2021

2019

Scheduling Data-Intensive Tasks on Heterogeneous Many Cores.

Pinar Tözün, Helena Kotthaus

IEEE Data Eng. Bull., 2019

Can Flexible Multi-Core Scheduling Help to Execute Machine Learning Algorithms Resource-Efficiently?

Helena Kotthaus, Lea Schönberger, Andreas Lang, Jian-Jia Chen, Peter Marwedel

Proceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems, 2019

2018

Methods for efficient resource utilization in statistical machine learning algorithms.

Helena Kotthaus

PhD thesis, 2018

2017

RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization.

Helena Kotthaus, Jakob Richter, Andreas Lang, Janek Thomas, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer, Michel Lang

Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017

2016

mmapcopy: efficient memory footprint reduction using application knowledge.

Ingo Korb, Helena Kotthaus, Peter Marwedel

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies.

Jakob Richter, Helena Kotthaus, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer, Michel Lang

Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016

2014

Dynamic page sharing optimization for the R language.

Helena Kotthaus, Ingo Korb, Michael Engel, Peter Marwedel

Proceedings of the DLS'14, 2014

2011

WCET-driven cache-aware code positioning.

Heiko Falk, Helena Kotthaus

Proceedings of the 14th International Conference on Compilers, 2011