Connectionists: Last Call for Contributions - TCMM 2014 International Workshop on Technical Computing for Machine Learning and Mathematical Engineering

[Marco Signoretto]

TCMM 2014 International Workshop on Technical Computing for Machine
Learning and Mathematical Engineering

8 - 12 September, 2014 - Leuven, Belgium

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


The workshop will provide a venue for researchers and practitioners to
interact on the latest developments in technical computing in relation
to machine learning and mathematical engineering problems and methods
(including also optimization, system identification, computational
statistics, signal processing, data visualization, deep learning,
compressed sensing and big-data).  The emphasis is especially on
open-source implementations in high-level programming languages,
including but not limited to Julia, Python, Scala and R. For further
information see the workshop homepage.

The 3 days main event (8-10 September) will consist of invited and
contributed talks as well as poster presentations. It will be followed
by a 2 days additional event (11-12 September) including software
demos and hands-on tutorials on selected topics.

Submission of extended abstracts are solicited for the main event.
Submission of demo presentations are solicited for the two days
additional event.

Important dates:

Deadline extended abstract/demo submission: 31 July 2014

Deadline for registration: 1 September 2014


Confirmed invited speakers (talks and tutorials):

James Bergstra, Center for Theoretical Neuroscience, University of Waterloo:
Theano and Hyperopt: Modelling, Training, and Hyperparameter
Optimization in Python


Jeff Bezanson, MIT:
TBA


Luis Pedro Coelho, European Molecular Biology Laboratory (EMBL):
Large Scale Analysis of Bioimages Using Python


Steven Diamond, Stanford University
TBA


Stefan Karpinski, MIT
TBA


Graham Taylor, School of Engineering, University of Guelph:
An Overview of Deep Learning and Its Challenges for Technical Computing


Ewout van den Berg, IBM T.J. Watson Research Center:
Tools and Techniques for Sparse Optimization and Beyond


Organizing committee:


Marco Signoretto, Department of Electrical Engineering, KU Leuven

Johan Suykens, Department of Electrical Engineering, KU Leuven

Vilen Jumutc , Department of Electrical Engineering, KU Leuven



For further information (including Registration, Location and Venue)
see http://www.esat.kuleuven.be/stadius/tcmm2014/


-- 
--
dr. Marco Signoretto

FWO research fellow,
ESAT - STADIUS,
Katholieke Universiteit Leuven,
Kasteelpark Arenberg 10, B-3001 LEUVEN - HEVERLEE (BELGIUM)

Tel: +32 (0)16 328651
Fax: +32 (0)16 321970

Homepage: http://homes.esat.kuleuven.be/~msignore/
Email : marco.signoretto at esat.kuleuven.be