Explainable Data Decompositions. - Sebastian Dalleiger; Jilles Vreeken (AAAI, 2020)

The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery. - Sebastian Dalleiger; Jilles Vreeken (ICDM, 2020)

Differentially Describing Groups of Graphs. - Corinna Coupette; Sebastian Dalleiger; Jilles Vreeken (AAAI, 2022)

Discovering Significant Patterns under Sequential False Discovery Control. - Sebastian Dalleiger; Jilles Vreeken (KDD, 2022)

Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent. - Sebastian Dalleiger; Jilles Vreeken (NeurIPS, 2022)

Differentially Describing Groups of Graphs (Paper Replication Code). - Corinna Coupette; Sebastian Dalleiger; Jilles Vreeken (Zenodo, 2022)

Differentially Describing Groups of Graphs (Paper Replication Code). - Corinna Coupette; Sebastian Dalleiger; Jilles Vreeken (Zenodo, 2022)

Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework. - Corinna Coupette; Sebastian Dalleiger; Bastian Rieck (ICLR, 2023)

Characteristics and commonalities: differentially describing datasets with insightful patterns. - Sebastian Dalleiger (2023)

Creating Coherence in Federated Non-Negative Matrix Factorization. - Sebastian Dalleiger; Aristides Gionis (AAAI, 2025)

Federated Binary Matrix Factorization Using Proximal Optimization. - Sebastian Dalleiger; Jilles Vreeken; Michael Kamp (AAAI, 2025)

From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs. - Iiro Kumpulainen; Sebastian Dalleiger; Jilles Vreeken; Nikolaj Tatti (AAAI, 2025)