Invited Talks

  • Discrete Inference via Expectation Consistency Approximations, École Nationale Supérieure de l'Electronique et de ses Applications (ENSEA), France, July 2017. [slides]

  • Discrete Inference via Expectation Consistency Approximations, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, November 2016. [slides]

  • Expectation propagation for symbol detection in large-scale MIMO communications, Bell Labs (NJ, USA). November 2015. [slides]

  • An introduction to Approximate Inference via Expectation Propagation, Klipsch School of Electrical and Computer Engineering, New Mexico State University. October 2015. [slides]

  • Improving the Finite-Length Performance of Spatially Coupled LDPC Codes by Connecting Multiple Code Chains, German Aerospace Center - DLR. October 2014. [slides]

  • Improving the Finite-Length Performance of Spatially Coupled LDPC Codes by Connecting Multiple Code Chains, Institute for Communications Engineering, Technische Universität München (TUM). October 2014. [slides]

  • Scaling behavior of Convolutional LDPC ensembles over BEC, Combinatorial, Algebraic and Algorithmic Aspects of Coding Theory (CAACT) 2011. Lausanne, Switzerland, 2011. [slides]

  • Pablo M. Olmos, Juan José Murillo-Fuentes and Fernando Pérez-Cruz, (2010). Analyzing the Maxwell decoder for binary erasure channels. 2010 Information Theory and Applications Workshop. University of California, San Diego. January 2010.

Other talks at the GTS Research Seminar

  • Approximate Inference in Latent Variable Models based on NNs, February 2018. [slides]

  • Deep-Learning Architectures for Handwritten Text Recognition Concepts & Building Blocks, May 2017. [slides]

  • Machine learning for brain imaging across distinct databases, March 2016. [slides]