Publications

This section details my scientific publications, primarily focused on advancing machine learning and deep neural networks. For an updated list of my work, please refer to my research profiles linked below.

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Publication Statistics

Citations

290

h-index

i10-index

Citations per Year

References

2024

Emergence in multi-agent systems: a safety perspective

Philipp Altmann, Julian Schönberger, Steffen Illium, et al.. Leveraging applications of formal methods, verification and validation. Rigorous engineering of collective adaptive systems. 2024

Preview for Aquarium: a comprehensive framework for exploring predator-prey dynamics through multi-agent reinforcement learning algorithms

Aquarium: a comprehensive framework for exploring predator-prey dynamics through multi-agent reinforcement learning algorithms

Michael Kölle, Yannick Erpelding, Fabian Ritz, et al.. Proceedings of the 16th international conference on agents and artificial intelligence. 2024

2023

Improving primate sounds classification using binary presorting for deep learning

Michael Kölle, Steffen Illium, Maximilian Zorn, et al.. Deep learning theory and applications. 2023

Social neural network soups with surprise minimization

Maximilian Zorn, Steffen Illium, Thomy Phan, et al.. The 2023 conference on artificial life. 2023

VoronoiPatches: Evaluating a new data augmentation method

Steffen Illium, Gretchen Griffin, Michael Kölle, et al.. Proceedings of the 15th international conference on agents and artificial intelligence. 2023

Compression of GPS trajectories using autoencoders

Michael Kölle, Steffen Illium, Carsten Hahn, et al.. Proceedings of the 15th international conference on agents and artificial intelligence. 2023

2022

Self-replication in neural networks

Thomas Gabor, Steffen Illium, Maximilian Zorn, et al.. Artificial Life. 2022

CSG tree extraction from 3D point clouds and meshes using a hybrid approach

Markus Friedrich, Steffen Illium, Pierre-Alain Fayolle, et al.. Computer vision, imaging and computer graphics theory and applications. 2022

Empirical analysis of limits for memory distance in recurrent neural networks

Steffen Illium, Thore Schillman, Robert Müller, et al.. Proceedings of the 14th international conference on agents and artificial intelligence. 2022

Towards anomaly detection in reinforcement learning

Robert Müller, Steffen Illium, Thomy Phan, et al.. Proceedings of the 21st international conference on autonomous agents and multiagent systems. 2022

Case-based inverse reinforcement learning using temporal coherence

Jonas Nüßlein, Steffen Illium, Robert Müller, et al.. Case-based reasoning research and development. 2022

Constructing organism networks from collaborative self-replicators

Steffen Illium, Maximilian Zorn, Cristian Lenta, et al.. 2022 IEEE symposium series on computational intelligence (SSCI). 2022

2021

Acoustic anomaly detection for machine sounds based on image transfer learning

Robert Müller, Fabian Ritz, Steffen Illium, et al.. Proceedings of the 13th international conference on agents and artificial intelligence. 2021

Analysis of feature representations for anomalous sound detection

Robert Müller, Steffen Illium, Fabian Ritz, et al.. Proceedings of the 13th international conference on agents and artificial intelligence. 2021

Acoustic leak detection in water networks

Robert Müller, Steffen Illium, Fabian Ritz, et al.. Proceedings of the 13th international conference on agents and artificial intelligence. 2021

Goals for self-replicating neural networks

Thomas Gabor, Steffen Illium, Maximilian Zorn, et al.. The 2021 conference on artificial life. 2021

Visual transformers for primates classification and covid detection

Steffen Illium, Robert Müller, Andreas Sedlmeier, et al.. Interspeech 2021. 2021

A deep and recurrent architecture for primate vocalization classification

Robert Müller, Steffen Illium, Claudia Linnhoff-Popien. Interspeech 2021. 2021

Deep recurrent interpolation networks for anomalous sound detection

Robert Muller, Steffen Illium, Claudia Linnhoff-Popien. 2021 international joint conference on neural networks (IJCNN). 2021

2020

Soccer team vectors

Robert Müller, Stefan Langer, Fabian Ritz, et al.. Machine learning and knowledge discovery in databases. 2020

A hybrid approach for segmenting and fitting solid primitives to 3D point clouds

Markus Friedrich, Steffen Illium, Pierre-Alain Fayolle, et al.. Proceedings of the 15th international joint conference on computer vision, imaging and computer graphics theory and applications. 2020

Policy entropy for out-of-distribution classification

Andreas Sedlmeier, Robert Müller, Steffen Illium, et al.. Artificial neural networks and machine learning – ICANN 2020. 2020

What to do in the meantime: a service coverage analysis for parked autonomous vehicles

Steffen Illium, Philipp Andreas Friese, Robert Müller, et al.. AGILE: GIScience Series. 2020

Surgical mask detection with convolutional neural networks and data augmentations on spectrograms

Steffen Illium, Robert Müller, Andreas Sedlmeier, et al.. Interspeech 2020. 2020

2019

Self-replication in neural networks

Thomas Gabor, Steffen Illium, Andy Mattausch, et al.. The 2019 conference on artificial life. 2019

Deep neural baselines for computational paralinguistics

Daniel Elsner, Stefan Langer, Fabian Ritz, et al.. Interspeech 2019. 2019

2018

Trajectory annotation using sequences of spatial perception

Sebastian Feld, Steffen Illium, Andreas Sedlmeier, et al.. Proceedings of the 26th ACM SIGSPATIAL international conference on advances in geographic information systems. 2018