Dr. Alper Yegenoglu

Regelungs- und Automatisierungstechnik (RAT)

Postdoc

Forschung und Lehre

E-Mail:
alper.yegenoglu@uni-paderborn.de
Telefon:
+49 5251 60-1898
ORCID:
0000-0001-8869-215X
Web:
Homepage
Homepage (Extern)
Social Media:
Büro­anschrift:
Pohlweg 47-49
33098 Paderborn
Raum:
P1.7.15.4

Forschung

Forschungsschwerpunkte

  • Machine learning, KI
  • computergestützte Neurowissenschaften, neuromorphes Rechnen
  • Meta-learning, multi-task learning, metaheuristiken
  • Multi Agenten Modellierung, Schwarmintelligenz

Publikationen

Ausgewählte Publikationen

Multi-agent systems powered by large language models: applications in swarm intelligence

C. Jimenez-Romero, A. Yegenoglu, C. Blum, Frontiers in Artificial Intelligence 8 (2025).

DOI

Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks

C. Jimenez Romero, A. Yegenoglu, A. Pérez Martín, S. Diaz-Pier, A. Morrison, Swarm Intelligence 18 (2023) 1–29.

DOI

Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn

A. Yegenoglu, A. Subramoney, T. Hater, C. Jimenez-Romero, W. Klijn, A. Pérez Martín, M. van der Vlag, M. Herty, A. Morrison, S. Diaz-Pier, Frontiers in Computational Neuroscience 16 (2022).

DOI

Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent

A. Yegenoglu, K. Krajsek, S.D. Pier, M. Herty, in: Lecture Notes in Computer Science, Springer International Publishing, Cham, 2021.

DOI

Alle Publikationen anzeigen