Fabian Spaeh

According to our database, Fabian Spaeh authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

Query Suggestion for Retrieval-Augmented Generation via Dynamic In-Context Learning.

Fabian Spaeh, Tianyi Chen, Chen-Hao Chiang, Bin Shen

CoRR, January, 2026

2025

Estimating Hitting Times Locally At Scale.

Themistoklis Haris, Fabian Spaeh, Spyros Dragazis, Charalampos E. Tsourakakis

CoRR, November, 2025

Countering Election Sway: Strategic Algorithms in Friedkin-Johnsen Dynamics.

Dragos Ristache, Fabian Spaeh, Charalampos E. Tsourakakis

CoRR, February, 2025

An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale.

Fabian Christian Spaeh, Atsushi Miyauchi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Online and Streaming Algorithms for Constrained k-Submodular Maximization.

Fabian Christian Spaeh, Alina Ene, Huy L. Nguyen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Wiser than the Wisest of Crowds: The Asch Effect Revisited under Friedkin-Johnsen Opinion Dynamics.

Dragos Ristache, Fabian Spaeh, Charalampos E. Tsourakakis

CoRR, 2024

ULTRA-MC: A Unified Approach to Learning Mixtures of Markov Chains via Hitting Times.

Fabian Spaeh, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis

CoRR, 2024

Markovletics: Methods and A Novel Application for Learning Continuous-Time Markov Chain Mixtures.

Fabian Spaeh, Charalampos E. Tsourakakis

Proceedings of the ACM on Web Conference 2024, 2024

Wiser than the Wisest of Crowds: The Asch Effect and Polarization Revisited.

Dragos Ristache, Fabian Spaeh, Charalampos E. Tsourakakis

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Learning Mixtures of Markov Chains with Quality Guarantees.

Fabian Spaeh, Charalampos E. Tsourakakis

Proceedings of the ACM Web Conference 2023, 2023

Online Ad Allocation with Predictions.

Fabian Spaeh, Alina Ene

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Global Evaluation for Decision Tree Learning.

Fabian Spaeh, Sven Kosub

CoRR, 2022

2019

Exploring Potentials and Challenges of Blockchain-based Public Key Infrastructures.

Thomas Hepp, Fabian Spaeh, Alexander Schönhals, Philip Ehret, Bela Gipp

Proceedings of the IEEE INFOCOM 2019, 2019