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Bio

I am a postdoctoral research fellow at the Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven where I am funded by the Research Foundation of Flanders  (FWO).  I completed my Ph.D.  in Mathematical Engineering under the guidance of prof. Johan Suykens and prof. Lieven de Lathauwer in 2011.  Before that, I graduated in Electronic Engineering (“Laurea Magistralis”) from the University of Padova in 2005 and I got an M.Sc. in “Methods for Management of Complex Systems” from the University of Pavia in 2006. I served as a co-organizer of the NIPS 2010 Workshop on Tensors, Kernels and Machine Learning and as a co-organizer of the International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications (ROKS 2013) and of the International Workshop on Technical Computing for Machine Learning and Mathematical Engineering (TCMM2014).
 

Slides of Recent Talks

News

  • A. Argyriou,  Signoretto M. and  Suykens J. A. K.
  • Signoretto M. and Suykens J. A. K.
"Identification of Structured Dynamical Systems in Tensor Product Reproducing Kernel Hilbert Spaces", in proceedings of the 21st International Symposium on Mathematical Theory of Networks and Systems (MTNS 2014), to appear
  • Signoretto M., De Lathauwer L. and Suykens J.A.K. 
            preprint arXiv:1310.4977, 2013
  • Signoretto M. and Suykens J. A. K.
             ''Multilinear Spectral Regularization for Kernel-based Multitask Learning'', 
              [poster] NIPS 2013  


Research Interests

My research deals with both practical and theoretical aspects of mathematical m
odeling of structured data. I have worked on kernel methods especially in connection to tensors, i.e., 
higher order generalization of matrices. I have als
o worked in  modeling approaches based on (convex) optimization, sparsity,  structure-inducing penalties and spectral regularization. Other topics of recent interest include multi-task and transfer learning (collaborative filtering), and the mathematical modelling of multivariate time-series, networks and (cointegrated) dynamical systems.

I collaborate with domain experts to bridge the gap between theory and practice in a number of industrial and  academic projects. Active projects deals with mathematical modelling problems arising in bio-signal processing, neuroscience, material science and statistical arbitrage. 


Where to Find Me (Upcoming Events) 

  • The 21st International Symposium on Mathematical Theory of Networks and Systems (MTNS, July 7-11, 2014, Groningen, The Netherlands)

  • International Workshop on Technical Computing for Machine Learning and Mathematical Engineering  (TCMM, September 8 - 12, 2014, Leuven, Belgium)

http://www.esat.kuleuven.be/stadius/tcmm2014/