Helena Kotthaus

19 papers A 2C 2Misc 2Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2023 A conf
Explainability-Aware One Point Attack for Point Cloud Neural Networks.
WACV
Hanxiao Tan, Helena Kotthaus
2022 — ch.
Efficient Memory Footprint Reduction.
Mach. Learn. under Resour. Constraints Vol. 1 (1)
Helena Kotthaus, Peter Marwedel
2022 — ch.
Optimization of ML on Modern Multicore Systems.
Mach. Learn. under Resour. Constraints Vol. 1 (1)
Helena Kotthaus, Peter Marwedel
2022 — conf
SancScreen: Towards a Real-world Dataset for Evaluating Explainability Methods.
LWDA
Matthias Jakobs, Helena Kotthaus, Ines Röder, Maximilian Baritz
2022 A conf
Surrogate Model-Based Explainability Methods for Point Cloud NNs.
WACV
Hanxiao Tan, Helena Kotthaus
2022 J jnl
Yes we care!-Certification for machine learning methods through the care label framework.
Frontiers Artif. Intell.
Katharina Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich
2021 J jnl
Explainability-Aware One Point Attack for Point Cloud Neural Networks.
CoRR
Hanxiao Tan, Helena Kotthaus
2021 — conf
Self-Supervised Source Code Annotation from Related Research Papers.
ICDM (Workshops)
Pierre Haritz, Lukas Pfahler, Thomas Liebig, Helena Kotthaus
2021 J jnl
Surrogate Model-Based Explainability Methods for Point Cloud NNs.
CoRR
Hanxiao Tan, Helena Kotthaus
2021 J jnl
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning.
CoRR
Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Andreas Pauly, Nico Piatkowski
2021 J jnl
Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework.
CoRR
Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Sascha Mücke, Andreas Pauly, Matthias Jakobs, Nico Piatkowski
2019 C conf
Can Flexible Multi-Core Scheduling Help to Execute Machine Learning Algorithms Resource-Efficiently?
SCOPES
Helena Kotthaus, Lea Schönberger, Andreas Lang, Jian-Jia Chen, Peter Marwedel
2019 J jnl
Scheduling Data-Intensive Tasks on Heterogeneous Many Cores.
IEEE Data Eng. Bull.
Pinar Tözün, Helena Kotthaus
2018 — —
Methods for efficient resource utilization in statistical machine learning algorithms.
Helena Kotthaus
2017 — conf
RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization.
LION
Helena Kotthaus, Jakob Richter, Andreas Lang, Janek Thomas, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer, Michel Lang
2016 — conf
Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies.
LION
Jakob Richter, Helena Kotthaus, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer, Michel Lang
2016 Misc conf
mmapcopy: efficient memory footprint reduction using application knowledge.
SAC
Ingo Korb, Helena Kotthaus, Peter Marwedel
2014 C conf
Dynamic page sharing optimization for the R language.
DLS
Helena Kotthaus, Ingo Korb, Michael Engel, Peter Marwedel
2011 Misc conf
WCET-driven cache-aware code positioning.
CASES
Heiko Falk, Helena Kotthaus