Home 9 Publications

Publications

Neural Dynamic Focused Topic Model

K. Cvejoski, R. Sanchez, C. Ojeda,
2023

SoK: Harnessing Prior Knowledge for Explainable Machine Learning: An Overview

K. Beckh, S. Müller, M. Jakobs, V. Toborek, H. Tan, R. Fischer, P. Welke, S. Houben, L. von Rüden,
2023

Robustness in Fatigue Strength Estimation

D. Weichert, A. Kister, S. Houben, G. Ernis, S. Wrobel,
2023

Energy Efficiency Considerations for Popular AI Benchmarks

R. Fischer, M. Jakobs, K. Morik,
2023

Shapley Values with Uncertain Value Functions

R. Heese, S. Mücke, M. Jakobs, T. Gerlach, N. Piatkowski,
2023

Feature Selection on Quantum Computers

S. Mücke, R. Heese, S. Mülle, M. Wolter, N. Piatkowski,
2023

Compiling and Deploying Machine Learning Models to Bare-Metal Devices with TinyIREE

M. Brehler, H. C. Liu, B. Vanik, S. Camphausen, L. Dong, S. Laurenzo,
2023

Computing Divergences between Discrete Decomposable Models

L. K. Lee, N. Piatkowski, F. Petitjean, G. I. Webb,
2023

MaxSimE: Explaining Transformer-based Semantic Similarity via Contextualized Best Matching Token Pairs

E. Brito, H. Iser,
2023

The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications

S. van den Elzen, G. Andrienko, N. Andrienko, B. D. Fisher, R. M. Martins, J. Peltonen, A. C. Telea, M. Verleysen,
2023