Publications
SEARCH
ALL PUBLICATIONS
Nikolai Merkel, Ruben Mayer, Volker Markl, Hans-Arno Jacobsen
EmbedPart: Embedding-Driven Graph Partitioning for Scalable Graph Neural Network Training
Johann-Ludwig Herzog, Mathis Jürgen Adler, Leonard Hackel, Yan Shu, Angelos Zavras, Ioannis Papoutsis, Paolo Rota, Begüm Demir
BigEarthNet.txt: A Large-Scale Multi-Sensor Image-Text Dataset and Benchmark for Earth Observation
Leonardo Medrano Sandonas, David Balcells, Anton Bochkarev, Jacqueline M. Cole, Volker L. Deringer, Werner Dobrautz, Adrian Ehrenhofer, Thorben Frank, Pascal Friederich, Rico Friedrich et al.
Perspective: Towards sustainable exploration of chemical spaces with machine learning
Mohammad Mahdi Mesgari, Jackie Ma, Wojciech Samek, Sebastian Lapuschkin, Leander Weber
Structural Compactness as a Complementary Criterion for Explanation Quality
Georgii Mikriukov, Grégoire Montavon, Marina M.-C. Höhne
Uncertainty Gating for Cost-Aware Explainable Artificial Intelligence
Yoana Tsoneva, Paul-Conrad Feig, Jiaao Li, Veronika Solopova, Neda Foroutan, Arthur Hilbert, Vera Schmitt
Selective Multimodal Retrieval for Automated Verification of Image–Text Claims
Max Upravitelev, Veronika Solopova, Charlott Jakob, Premtim Sahitaj, Sebastian Möller, Vera Schmitt
Retrieving Climate Change Disinformation by Narrative
Martin Hermann Paul Fuchs, Behnood Rasti, Begüm Demir
HyVIC: A Metric-Driven Spatio-Spectral Hyperspectral Image Compression Architecture Based on Variational Autoencoders
Carlos Muniz Cuza, Søren Kejser Jensen, Tom Louis Klein, Sabina Bakhtiiarova, Matthias Boehm, Torben Bach Pedersen
TerseTS: A Framework for Time Series Compression
J. Thorben Frank, Stefan Chmiela, Klaus-Robert Müller, Oliver T. Unke