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<a class="u-url" rel="me" href="http://localhost:4000/" itemprop="url">Steffen Illium</a>
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<p><a href="https://www.mobile.ifi.lmu.de/team/steffen-illium/">PhD. in Comp. Science</a> <br /><a href="/research/">AI Consultant & Researcher</a></p>
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<a href="http://localhost:4000/publications/" itemprop="url">Publications
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<br>
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<section class="page__content" itemprop="text">
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<p>This section details my scientific publications, primarily focused on advancing machine learning and deep neural networks:</p>
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<ul>
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<li><strong>Foundational Deep Learning:</strong> Analyses of neural network mechanisms and core principles.</li>
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<li><strong>Methodological Development:</strong> Novel techniques in Data Augmentation & Synthesis, Classification & Segmentation, and Anomaly & Out-of-Distribution (OOD) Detection.</li>
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<li><strong>Advanced Systems:</strong> Exploration of Multi-Agent Reinforcement Learning (MARL), emergence, and safety considerations.</li>
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<li><strong>Applied Domains:</strong> Application of these methods in Geoinformatics, audio analysis, and sequence modeling, often stemming from collaborative <a href="/projects">projects</a>.</li>
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</ul>
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<p>For a updated list of my work, please refer to my research profiles linked below.</p>
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<!-- Bib. databases:
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--- -->
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<h2 class="bibliography">2024</h2>
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<ol class="bibliography"><li><span id="altmann2024emergence"><span style="font-variant: small-caps">Altmann, P., Schönberger, J., Illium, S., et al.</span> 2024. Emergence in Multi-agent Systems: A Safety Perspective. <i>International Symposium on Leveraging Applications of Formal Methods</i>, Springer Nature Switzerland Cham, 104–120.</span>
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<button type="button" class="btn btnId btnPub--action btnPub--bibtex-download-direct" data-umami-event="BibTeX File Download" data-umami-event-bibkey="altmann2024emergence" data-umami-event-slug="unknown-page" data-bibtex-json=""@inproceedings{altmann2024emergence,\n title = {Emergence in Multi-agent Systems: A Safety Perspective},\n author = {Altmann, Philipp and Schönberger, Julian and Illium, Steffen and Zorn, Maximilian and Ritz, Fabian and Haider, Tom and Burton, Simon and Gabor, Thomas},\n booktitle = {International Symposium on Leveraging Applications of Formal Methods},\n pages = {104--120},\n year = {2024},\n organization = {Springer Nature Switzerland Cham}\n}\n"" data-bibtex-filename="altmann2024emergence.bib" style="outline:none; position:relative; white-space: normal; margin-right: 5px; vertical-align: middle;">
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<li><span id="kolle2024aquarium"><span style="font-variant: small-caps">Kölle, M., Erpelding, Y., Ritz, F., Phan, T., Illium, S., and Linnhoff-Popien, C.</span> 2024. Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms. <i>arXiv preprint arXiv:2401.07056</i>.</span>
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<button type="button" class="btn btnId btnPub--action btnPub--bibtex-download-direct" data-umami-event="BibTeX File Download" data-umami-event-bibkey="kolle2024aquarium" data-umami-event-slug="unknown-page" data-bibtex-json=""@article{kolle2024aquarium,\n title = {Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms},\n author = {Kölle, Michael and Erpelding, Yannick and Ritz, Fabian and Phan, Thomy and Illium, Steffen and Linnhoff-Popien, Claudia},\n journal = {arXiv preprint arXiv:2401.07056},\n year = {2024}\n}\n"" data-bibtex-filename="kolle2024aquarium.bib" style="outline:none; position:relative; white-space: normal; margin-right: 5px; vertical-align: middle;">
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<h2 class="bibliography">2023</h2>
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<ol class="bibliography"><li><span id="koelle23primate"><span style="font-variant: small-caps">Kölle, M., Illium, S., Zorn, M., Nüßlein, J., Suchostawski, P., and Linnhoff-Popien, C.</span> 2023. Improving Primate Sounds Classification using Binary Presorting for Deep Learning. Springer CCIS Series.</span>
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<button type="button" class="btn btnId btnPub--action btnPub--bibtex-download-direct" data-umami-event="BibTeX File Download" data-umami-event-bibkey="koelle23primate" data-umami-event-slug="unknown-page" data-bibtex-json=""@inproceedings{koelle23primate,\n title = {Improving Primate Sounds Classification using Binary Presorting for Deep Learning},\n author = {Kölle, Michael and Illium, Steffen and Zorn, Maximilian and Nü{\\ss}lein, Jonas and Suchostawski, Patrick and Linnhoff-Popien, Claudia},\n year = {2023},\n organization = {Int. Conference on Deep Learning Theory and Application - DeLTA 2023},\n publisher = {Springer CCIS Series}\n}\n"" data-bibtex-filename="koelle23primate.bib" style="outline:none; position:relative; white-space: normal; margin-right: 5px; vertical-align: middle;">
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<li><span id="zorn23surprise"><span style="font-variant: small-caps">Zorn, M., Illium, S., Phan, T., Kaiser, T.K., Linnhoff-Popien, C., and Gabor, T.</span> 2023. Social Neural Network Soups with Surprise Minimization. MIT Press Direct.</span>
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<button type="button" class="btn btnId btnPub--action btnPub--bibtex-download-direct" data-umami-event="BibTeX File Download" data-umami-event-bibkey="zorn23surprise" data-umami-event-slug="unknown-page" data-bibtex-json=""@inproceedings{zorn23surprise,\n author = {Zorn, Maximilian and Illium, Steffen and Phan, Thomy and Kaiser, Tanja Katharina and Linnhoff-Popien, Claudia and Gabor, Thomas},\n title = {Social Neural Network Soups with Surprise Minimization},\n year = {2023},\n publisher = {MIT Press Direct},\n organization = {Conference on Artificial Life - Alife 2023}\n}\n"" data-bibtex-filename="zorn23surprise.bib" style="outline:none; position:relative; white-space: normal; margin-right: 5px; vertical-align: middle;">
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<li><span id="illium2023voronoipatches"><span style="font-variant: small-caps">Illium, S., Griffin, G., Kölle, M., Zorn, M., Nüsslein, J., and Linnhoff-Popien, C.</span> 2023. VoronoiPatches: Evaluating a New Data Augmentation Method. <i>International Conference on Agents and Artificial Intelligence</i>, 350–357.</span>
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<li><span id="kolle2023compression"><span style="font-variant: small-caps">Kölle, M., Illium, S., Hahn, C., Schauer, L., Hutter, J., and Linnhoff-Popien, C.</span> 2023. Compression of GPS Trajectories using Autoencoders. <i>arXiv preprint arXiv:2301.07420</i>.</span>
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<h2 class="bibliography">2022</h2>
|
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<ol class="bibliography"><li><span id="gabor2022self"><span style="font-variant: small-caps">Gabor, T., Illium, S., Zorn, M., et al.</span> 2022. Self-replication in neural networks. <i>Artificial Life</i> <i>28</i>, 2, 205–223.</span>
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<li><span id="friedrich2022csg"><span style="font-variant: small-caps">Friedrich, M., Illium, S., Fayolle, P.-A., and Linnhoff-Popien, C.</span> 2022. CSG Tree Extraction from 3D Point Clouds and Meshes Using a Hybrid Approach. <i>Computer Vision, Imaging and Computer Graphics Theory and Applications: 15th International Joint Conference, VISIGRAPP 2020 Valletta, Malta, February 27–29, 2020, Revised Selected Papers</i>, Springer International Publishing Cham, 53–79.</span>
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<button type="button" class="btn btnId btnPub--action btnPub--bibtex-download-direct" data-umami-event="BibTeX File Download" data-umami-event-bibkey="friedrich2022csg" data-umami-event-slug="unknown-page" data-bibtex-json=""@inproceedings{friedrich2022csg,\n title = {CSG Tree Extraction from 3D Point Clouds and Meshes Using a Hybrid Approach},\n author = {Friedrich, Markus and Illium, Steffen and Fayolle, Pierre-Alain and Linnhoff-Popien, Claudia},\n booktitle = {Computer Vision, Imaging and Computer Graphics Theory and Applications: 15th International Joint Conference, VISIGRAPP 2020 Valletta, Malta, February 27--29, 2020, Revised Selected Papers},\n pages = {53--79},\n year = {2022},\n organization = {Springer International Publishing Cham}\n}\n"" data-bibtex-filename="friedrich2022csg.bib" style="outline:none; position:relative; white-space: normal; margin-right: 5px; vertical-align: middle;">
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<li><span id="illium2022empirical"><span style="font-variant: small-caps">Illium, S., Schillman, T., Müller, R., Gabor, T., and Linnhoff-Popien, C.</span> 2022. Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks. <i>14th International Conference on Agents and Artificial Intelligence: ICAART</i>, 308–315.</span>
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<li><span id="muller2022towards"><span style="font-variant: small-caps">Müller, R., Illium, S., Phan, T., Haider, T., and Linnhoff-Popien, C.</span> 2022. Towards Anomaly Detection in Reinforcement Learning. <i>Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems</i>, 1799–1803.</span>
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<li><span id="nusslein2022case"><span style="font-variant: small-caps">Nüßlein, J., Illium, S., Müller, R., Gabor, T., and Linnhoff-Popien, C.</span> 2022. Case-Based Inverse Reinforcement Learning Using Temporal Coherence. <i>Case-Based Reasoning Research and Development: 30th International Conference, ICCBR 2022, Nancy, France, September 12–15, 2022, Proceedings</i>, Springer International Publishing Cham, 304–317.</span>
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<li><span id="illium2022constructing"><span style="font-variant: small-caps">Illium, S., Zorn, M., Lenta, C., Kölle, M., Linnhoff-Popien, C., and Gabor, T.</span> 2022. Constructing organism networks from collaborative self-replicators. <i>2022 IEEE Symposium Series on Computational Intelligence (SSCI)</i>, IEEE, 1268–1275.</span>
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<h2 class="bibliography">2021</h2>
|
||
<ol class="bibliography"><li><span id="gabor2021goals"><span style="font-variant: small-caps">Gabor, T., Illium, S., Zorn, M., and Linnhoff-Popien, C.</span> 2021. Goals for self-replicating neural networks. <i>Artificial Life Conference Proceedings 33</i>, MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info …, 101.</span>
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<li><span id="illium2021visual"><span style="font-variant: small-caps">Illium, S., Müller, R., Sedlmeier, A., and Popien, C.-L.</span> 2021. Visual Transformers for Primates Classification and Covid Detection. <i>Proc. Interspeech 2021</i>, 451–455.</span>
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<li><span id="muller2021deep"><span style="font-variant: small-caps">Müller, R., Illium, S., and Linnhoff-Popien, C.</span> 2021. A Deep and Recurrent Architecture for Primate Vocalization Classification. <i>Proc. Interspeech 2021</i>, 461–465.</span>
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<li><span id="muller2021deeq"><span style="font-variant: small-caps">Müller, R., Illium, S., and Linnhoff-Popien, C.</span> 2021. Deep recurrent interpolation networks for anomalous sound detection. <i>2021 International Joint Conference on Neural Networks (IJCNN)</i>, IEEE, 1–7.</span>
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<h2 class="bibliography">2020</h2>
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<ol class="bibliography"><li><span id="muller2020soccer"><span style="font-variant: small-caps">Müller, R., Langer, S., Ritz, F., Roch, C., Illium, S., and Linnhoff-Popien, C.</span> 2020. Soccer Team Vectors. <i>Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II</i>, Springer International Publishing, 247–257.</span>
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<li><span id="friedrich2020hybrid"><span style="font-variant: small-caps">Friedrich, M., Illium, S., Fayolle, P.-A., and Linnhoff-Popien, C.</span> 2020. A Hybrid Approach for Segmenting and Fitting Solid Primitives to 3D Point Clouds. <i>15th International Joint Conference on Computer Graphics Theory and Applications</i>.</span>
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<li><span id="sedlmeier2020policy"><span style="font-variant: small-caps">Sedlmeier, A., Müller, R., Illium, S., and Linnhoff-Popien, C.</span> 2020. Policy entropy for out-of-distribution classification. <i>Artificial Neural Networks and Machine Learning–ICANN 2020: 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II 29</i>, Springer International Publishing, 420–431.</span>
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<button type="button" class="btn btnId btnPub--action btnPub--bibtex-download-direct" data-umami-event="BibTeX File Download" data-umami-event-bibkey="sedlmeier2020policy" data-umami-event-slug="unknown-page" data-bibtex-json=""@inproceedings{sedlmeier2020policy,\n title = {Policy entropy for out-of-distribution classification},\n author = {Sedlmeier, Andreas and Müller, Robert and Illium, Steffen and Linnhoff-Popien, Claudia},\n booktitle = {Artificial Neural Networks and Machine Learning--ICANN 2020: 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15--18, 2020, Proceedings, Part II 29},\n pages = {420--431},\n year = {2020},\n organization = {Springer International Publishing}\n}\n"" data-bibtex-filename="sedlmeier2020policy.bib" style="outline:none; position:relative; white-space: normal; margin-right: 5px; vertical-align: middle;">
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<li><span id="muller2020acoustic"><span style="font-variant: small-caps">Müller, R., Ritz, F., Illium, S., and Linnhoff-Popien, C.</span> 2020. Acoustic anomaly detection for machine sounds based on image transfer learning. <i>arXiv preprint arXiv:2006.03429</i>.</span>
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<li><span id="illium2020meantime"><span style="font-variant: small-caps">Illium, S., Friese, P.A., Müller, R., and Feld, S.</span> 2020. What to do in the meantime: A service coverage analysis for parked autonomous vehicles. <i>AGILE: GIScience Series</i> <i>1</i>, 7.</span>
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<li><span id="illium2020surgical"><span style="font-variant: small-caps">Illium, S., Müller, R., Sedlmeier, A., and Linnhoff-Popien, C.</span> 2020. Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms. <i>Proc. Interspeech 2020</i>, 2052–2056.</span>
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<li><span id="muller2020analysis"><span style="font-variant: small-caps">Müller, R., Illium, S., Ritz, F., and Schmid, K.</span> 2020. Analysis of feature representations for anomalous sound detection. <i>arXiv preprint arXiv:2012.06282</i>.</span>
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<li><span id="muller2021acoustic"><span style="font-variant: small-caps">Müller, R., Illium, S., Ritz, F., et al.</span> 2020. Acoustic leak detection in water networks. <i>arXiv preprint arXiv:2012.06280</i>.</span>
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<h2 class="bibliography">2019</h2>
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<ol class="bibliography"><li><span id="gabor2019self"><span style="font-variant: small-caps">Gabor, T., Illium, S., Mattausch, A., Belzner, L., and Linnhoff-Popien, C.</span> 2019. <i>Self-Replication in Neural Networks</i>. .</span>
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<li><span id="elsner2019deep"><span style="font-variant: small-caps">Elsner, D., Langer, S., Ritz, F., Mueller, R., and Illium, S.</span> 2019. Deep neural baselines for computational paralinguistics. <i>arXiv preprint arXiv:1907.02864</i>.</span>
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<h2 class="bibliography">2018</h2>
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<ol class="bibliography"><li><span id="feld2018trajectory"><span style="font-variant: small-caps">Feld, S., Illium, S., Sedlmeier, A., and Belzner, L.</span> 2018. Trajectory annotation using sequences of spatial perception. <i>Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems</i>, 329–338.</span>
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