Publications

Joshua Scheidt, Alexander Diener, Michael Maiworm, Klaus-Robert Müller, Rolf Findeisen, Kurt Driessens, F. Stefan Tautz, Christian Wagner

Concept for the Real-Time Monitoring of Molecular Configurations during Manipulation with a Scanning Probe Microscope.

July 10, 2023

https://doi.org/10.1021/acs.jpcc.3c02072

Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus-Robert Müller, Marina M.-C. Höhne

DORA: Exploring Outlier Representations in Deep Neural Networks

July 10, 2023

https://doi.org/10.48550/arXiv.2206.04530

Tom Ganz, Philipp Rall, Martin Härterich, Konrad Rieck

Hunting for Truth: Analyzing Explanation Methods in Learning-based Vulnerability Discovery

July 03, 2023

https://doi.org/10.1109/EuroSP57164.2023.00038

Anh Duc Vu, Christos Tsigkanos, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, Timo Kehrer

On Irregularity Localization for Scientific Data Analysis Workflows

July 03, 2023

https://doi.org/10.1007/978-3-031-35995-8_24

Yordan Grigorov, Haralampos Gavriilidis, Sergey Redyuk, Kaustubh Beedkar, Volker Markl

P2D: A Transpiler Framework for Optimizing Data Science Pipelines

June 18, 2023

https://dl.acm.org/doi/abs/10.1145/3595360.3595853

Nils Schubert, Philipp M Grulich, Steffen Zeuch, Volker Markl

Exploiting Access Pattern Characteristics for Join Reordering

June 18, 2023

https://dl.acm.org/doi/10.1145/3592980.3595304

Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek

Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations

June 17, 2023

https://doi.ieeecomputersociety.org/10.1109/CVPR52729.2023.01549

Kajetan Maliszewski, Tilman Dietzel, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

TeeBench: Seamless Benchmarking in Trusted Execution Environments

June 05, 2023

https://doi.org/10.1145/3555041.3589726

Matthias Boehm, Madelon Hulsebos, Shreya Shankar, Paroma Varma

Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM)

June 04, 2023

https://dl.acm.org/doi/pdf/10.1145/3555041.3590819

Matthias Boehm, Matteo Interlandi, Chris Jermaine

Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques