Steffen Illium, M.Sc.

Steffen Illium, M.Sc.

Lehrstuhl für Mobile und Verteilte Systeme

Ludwig-Maximilians-Universität München, Institut für Informatik

Oettingenstraße 67
80538 München

Zoom Personal Meeting Room:
http://zoom.us/my/steffen.illium

Discord:
Steffen Illium#7765

Raum E 109 - Derzeit nicht besetzt.

Telefon: +49 89 / 2180-9174 - Derzeit nicht besetzt.

Fax:

Mail: steffen.illium@ifi.lmu.de

Lehre

Praktikum Mobile und Verteilte Systeme (MSP)
Praktikum IOS
Python Crashkurs

Forschungsthemen

Active:
Anomaly Detection
Machine Learning
Self-Replicating Neural Net
Sequences
Deep Audio Analysis

Old:
Clustering
Geoinformatics
Trajectory Analysis

 

 

Aktuell laufende Abschlussarbeiten

  • Investigating Memory Horizons in Neural Memory Networks

Aktuell offene Abschlussarbeiten (MA/BSc) / Einzel Praktika (EP)

  • Allgemeine Informationen zu Abschlussarbeiten:
    http://www.mobile.ifi.lmu.de/lehre/ausgeschriebene-abschlussarbeiten/
  • Defining a Metric for Movement Analysis (EP)
  • Capturing Isovist in Constraint Free Space (EP)
  • Evaluation of Adversarial Autoencoders (MSc / EP)
  • Interpolation in agents weight space for varying tasks (MSc / EP)
  • Approximating the Wave Function Collapse-Algorithm with a Growing Neural Cellular Automata (MSc / EP)
  • Alternative Route Generator for Indoor Environments (MSc / EP)

Abgeschlossene Abschlussarbeiten

  • Additional tasks for self-replicating neural networks
  • Reachability analysis for a hypothetical car sharing service
  • Segmentierung und Klassifizierung von geometrischen Primitiven in 3D-Punktwolken mit neuronalen Netzen
  • Vergleichende Analyse generativer neuronaler Netze auf Datenbasis des Wave Function Collapse-Algorithmus
  • Lokalisierung von Leckstellen in Wasserverteilungsanlagen mit Deep Learning via Data Augmentation
  • Analyse unüberwachten Clusterings von Isovisten mittels Attention-Mechanismus
  • Audiosignalverarbeitung und Clustering von Audiosignalen in Wasserleitungen

Sprechstunde

Auf Anfrage (primär Donnerstags)

Publikationen

2020

  • M. Friedrich, S. Illium, P. Fayolle, and C. Linnhoff-Popien, "A Hybrid Approach for Segmenting and Fitting Solid Primitives to 3D Point Clouds," in Proceedings of the 15th International Conference on Computer Graphics Theory and Applications (GRAPP), 2020.
    [BibTeX]
    @inproceedings{friedrich2020hybrid,
    title={A Hybrid Approach for Segmenting and Fitting Solid Primitives to 3D Point Clouds},
    author={Friedrich, Markus and Illium, Steffen and Fayolle, Pierre-Alain and Linnhoff-Popien, Claudia},
    booktitle={Proceedings of the 15th International Conference on Computer Graphics Theory and Applications (GRAPP)},
    volume={1},
    year={2020},
    organization={INSTICC},
    publisher={SCITEPRESS},
    }

2019

  • D. Elsner, S. Langer, F. Ritz, R. Müller, and S. Illium, "Deep Neural Baselines for Computational Paralinguistics," arXiv preprint arXiv:1907.02864, 2019.
    [BibTeX]
    @article{elsner2019deep,
    title={Deep Neural Baselines for Computational Paralinguistics},
    author={Elsner, Daniel and Langer, Stefan and Ritz, Fabian and M{\"u}ller, Robert and Illium, Steffen},
    journal={arXiv preprint arXiv:1907.02864},
    year={2019}
    }
  • R. Müller, S. Langer, F. Ritz, C. Roch, S. Illium, and C. Linnhoff-Popien, "Soccer Team Vectors," arXiv preprint arXiv:1908.00698, 2019.
    [BibTeX]
    @article{mueller2019steve,
    title={Soccer Team Vectors},
    author={M{\"u}ller, Robert and Langer, Stefan and Ritz, Fabian and Roch, Christoph and Illium, Steffen and Linnhoff-Popien, Claudia},
    journal={arXiv preprint arXiv:1908.00698},
    year={2019}
    }
  • T. Gabor, S. Illium, A. Mattausch, L. Belzner, and C. Linnhoff-Popien, "Self-Replication in Neural Networks," in Conference on Artificial Life (ALIFE 2019), 2019.
    [BibTeX]
    @InProceedings{gabor2019self-replication,
    author = {Thomas Gabor and Steffen Illium and Andy Mattausch and Lenz Belzner and Claudia Linnhoff-Popien},
    title = {Self-Replication in Neural Networks},
    booktitle = {Conference on Artificial Life (ALIFE 2019)},
    year = {2019},
    owner = {tgabor},
    }

2018

  • S. Illium, T. Gabor, and T. Phan, "Bayesian Variational Optimization in Sensor Networks," in 17. GI/ITG KuVS Fachgespräch Sensornetze 13. & 14. September 2018, Braunschweig: Technical Report, Braunschweig, 2018. doi:10.24355/dbbs.084-201809121401-1
    [BibTeX] [Download PDF]
    @InProceedings{illium2018bayesian,
    author = {Illium, Steffen and Gabor, Thomas and Phan, Thomy},
    title = {Bayesian Variational Optimization in Sensor Networks},
    booktitle = {17. GI/ITG KuVS Fachgespr{\"a}ch Sensornetze 13. \& 14. September 2018, Braunschweig: Technical Report},
    year = {2018},
    editor = {Wolf , Lars and B{\"u}sching, Felix},
    address = {Braunschweig},
    doi = {10.24355/dbbs.084-201809121401-1},
    owner = {sillium},
    url = {https://publikationsserver.tu-braunschweig.de/receive/dbbs_mods_00065986},
    }
  • S. Feld, S. Illium, A. Sedlmeier, and L. Belzner, "Trajectory annotation using sequences of spatial perception," in 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’18), 2018, pp. 1-10. doi:https://doi.org/10.1145/3274895.3274968
    [BibTeX]
    @InProceedings{feld2018trajectory,
    author = {Feld, Sebastian and Illium, Steffen and Sedlmeier, Andreas and Belzner, Lenz},
    title = {Trajectory annotation using sequences of spatial perception},
    booktitle = {26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’18)},
    year = {2018},
    pages = {1--10},
    organization = {ACM},
    doi = {https://doi.org/10.1145/3274895.3274968},
    }