E-MAIL
ADDRESS Universitätstrasse 6, 8092 Zürich, Switzerland
ROOM CAB H 81.2

I am a PhD student advised by Markus Püschel and collaborating with Dan Alistarh. My research interests lie in machine learning and mathematics. Currently, I am working on geometric deep learning, set function learning and generalized signal processing.



Student Projects

  • Felipa Schwarz, Bachelorthesis 2021
    Fourier Analysis of Activations in Neural Networks
    [code] [pdf will be uploaded in January]

  • Hugo Polsinelli, Masterthesis 2020
    Lattice Convolutional Neural Networks
    [pdf] [code]

  • Felix Sarnthein-Lotichius, Bachelorthesis 2019
    Jordan Chevalley Decomposition - Implementation and Numerical Analysis
    [pdf] [code]

  • Panagiotis Misiakos, Summerfellow 2019
    Diagonalizable Shift and Filters for Directed Graphs Based on the Jordan-Chevalley Decomposition
    [pdf]

Publications

submitted for publication

Fourier Analysis-based Iterative Combinatorial Auctions
Jakob Weissteiner, Chris Wendler, Sven Seuken, Ben Lubin, Markus Püschel
arXiv preprint arXiv:2009.10749 [pdf]

2021

Discrete Signal Processing on Meet/Join Lattices
Markus Püschel, Bastian Seifert, Chris Wendler
Trans. on Signal Processing [pdf]

Wiener Filter on Meet/Join Lattices
Bastian Seifert, Chris Wendler, Markus Püschel
Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP) [pdf]

Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases
Chris Wendler, Andisheh Amrollahi, Bastian Seifert, Andreas Krause, Markus Püschel
Proc. AAAI Conference on Artificial Intelligence [pdf] [poster] [video] [code]

Discrete Signal Processing with Set Functions
Markus Püschel, Chris Wendler
Trans. on Signal Processing [pdf]

2020

Diagonalizable Shift and Filters for Directed Graphs Based on the Jordan-Chevalley Decomposition
Panagiotis Misiakos, Chris Wendler, Markus Püschel
Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP) [pdf]

2019

Powerset Convolutional Neural Networks
Chris Wendler, Dan Alistarh, Markus Püschel
Proc. Neural Information Processing Systems (NeurIPS) [pdf] [poster] [code]

Sampling Signals on Meet/Join Lattices
Chris Wendler, Markus Püschel
Proc. Global Conference on Signal and Information Processing (GlobalSIP) [pdf] [slides] [code]

Education

Bachelor (B.Sc.) in Mathematics, University of Innsbruck, Austria
advisor Markus Haltmeier, Thesis

July 2017
Master (M.Sc.) in Computer Science, University of Innsbruck, Austria
advisor Szedmák Sándor, Thesis
September 2016