Signal Processing and Speech Communication Laboratory
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Christian Knoll

Room number
IDEG056
Telephone number
  • office: +43 316 873 - 4480
Position
Senior Researcher
Email
christian.knoll@tugraz.at
Research interests

My research interests include machine learning, graphical models, submodular functions and statistical signal processing.

Christian Knoll received his MSc (Dipl.Ing.) degree in Information and Computer Engineering in 2014 and earned his PhD degree im 2019 from Graz University of Technology. He is currently a postdoctoral researcher at Graz University of Technology.

His research interests include machine learning, graphical models, statistical signal processing, and statistical physics. He is particularly interested in applying message passing methods for probabilistic inference methods on graphical models.


Research Topics
Courses
Student Projects
PhD Theses
Publications
  • Conference paper Leisenberger H., Knoll C., Seeber R. & Pernkopf F. (2021) Convergence Behavior of Belief Propagation: Estimating Regions of Attraction via Lyapunov Functions. in Uncertainty in Artificial Intelligence. [more info]
  • Journal article Knoll C. & Pernkopf F. (2020) Belief propagation: accurate marginals or accurate partition function—where is the difference?. in Journal of Statistical Mechanics: Theory and Experiment, 2020(12). [more info] [doi]
  • Doctoral Thesis Knoll C. (2019) Understanding the Behavior of Belief Propagation.. [more info]
  • Conference paper Knoll C., Kulmer F. & Pernkopf F. (2019) Guided Selection of Accurate Belief Propagation Fixed Points.. [more info]
  • Conference paper Knoll C. & Pernkopf F. (2019) Belief Propagation: Accurate Marginals or Accurate Partition Function - Where is the Difference?. in Uncertainty in Artificial Intelligence. [more info]
  • Journal article Knoll C., Chen T., Mehta D. & Pernkopf F. (2018) Fixed Points of Belief Propagation - An Analysis via Polynomial Homotopy Continuation. in IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(9), p. 2124-2136. [more info] [doi]
  • Conference paper Knoll C. & Pernkopf F. (2017) On Loopy Belief Propagation – Local Stability Analysis for Non-Vanishing Fields. in Uncertainty in Artificial Intelligence. [more info]
  • Conference paper Knoll C., Pernkopf F., Mehta D. & Chen T. (2016) Fixed Points Solutions of Belief Propagation. in Neural Information Processing Systems (NIPS) workshop. [more info]
  • Poster Knoll C., Pernkopf F., Mehta D. & Chen T. (2016) Fixed Point Solutions of Belief Propagation.. [more info]
  • Conference paper Knoll C., Rath M., Tschiatschek S. & Pernkopf F. (2015) Message Scheduling Methods for Belief Propagation. in Machine Learning and Knowledge Discovery in Databases (pp. 295). [more info] [doi]
  • Diploma Thesis Knoll C. (2014) Alternative Descriptions for Random Variables.. [more info]