Sebastian Dalleiger

According to our database, Sebastian Dalleiger authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Federated Binary Matrix Factorization using Proximal Optimization.

Sebastian Dalleiger, Jilles Vreeken, Michael Kamp

CoRR, 2024

2023

Characteristics and commonalities: differentially describing datasets with insightful patterns.

Sebastian Dalleiger

PhD thesis, 2023

Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework.

Corinna Coupette, Sebastian Dalleiger, Bastian Rieck

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Differentially Describing Groups of Graphs (Paper Replication Code).

Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken

Dataset, March, 2022

Differentially Describing Groups of Graphs (Paper Replication Code).

Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken

Dataset, February, 2022

Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent.

Sebastian Dalleiger, Jilles Vreeken

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Discovering Significant Patterns under Sequential False Discovery Control.

Sebastian Dalleiger, Jilles Vreeken

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Differentially Describing Groups of Graphs.

Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery.

Sebastian Dalleiger, Jilles Vreeken

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Explainable Data Decompositions.

Sebastian Dalleiger, Jilles Vreeken

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020