An Efficient Method for Avoiding Shadow Fading Maps in System Level Simulations. - Thomas Dittrich 001; Martin Taranetz; Markus Rupp (WSA, 2017)

Semi-Supervised Spectral Clustering Using the Signed Laplacian. - Thomas Dittrich 001; Peter Berger; Gerald Matz (ACSSC, 2018)

Semi-Supervised Clustering Based on Signed Total Variation. - Peter Berger; Thomas Dittrich 001; Gerald Matz (GlobalSIP, 2018)

Flexible multi-node simulation of cellular mobile communications: the Vienna 5G System Level Simulator. - Martin Klaus Müller; Fjolla Ademaj; Thomas Dittrich 001; Agnes Fastenbauer; Blanca Ramos Elbal; Armand Nabavi; Lukas Nagel; Stefan Schwarz; Markus Rupp (EURASIP J. Wirel. Commun. Netw., 2018)

Semi-supervised Multiclass Clustering Based on Signed Total Variation. - Peter Berger; Thomas Dittrich 001; Gabor Hannak; Gerald Matz (ICASSP, 2019)

Unsupervised Clustering on Signed Graphs with Unknown Number of Clusters. - Thomas Dittrich 001; Gerald Matz (EUSIPCO, 2020)

Learning Signed Graphs from Data. - Gerald Matz; Thomas Dittrich 001 (ICASSP, 2020)

Signal Processing on Signed Graphs: Fundamentals and Potentials. - Thomas Dittrich 001; Gerald Matz (IEEE Signal Process. Mag., 2020)

Non-Convex Total Variation Minimization for Signed Graph Cut Clustering. - Thomas Dittrich 001; Gerald Matz (ACSCC, 2021)

A Maximum A Posteriori Relaxation For Clustering The Labeled Stochastic Block Model. - Thomas Dittrich 001; Gerald Matz (EUSIPCO, 2021)

Signature Graphs - Fundamentals, Learning, and Clustering. - Gerald Matz; Thomas Dittrich 001 (IEEECONF, 2022)

Efficient Learning of Balanced Signature Graphs. - Gerald Matz; Claudio Verardo; Thomas Dittrich 001 (ICASSP, 2023)