HELICON 2018: Architectures for deep learning with convolutional networks Confrence and Cultural Center, University of Patras Patras, Greece, July 9-15, 2018 |
Submission link | https://easychair.org/conferences/?conf=helicon2018 |
Submission deadline | February 28, 2018 |
About HELICON
GPU computation is becoming popular, primarily within the scientific computation and machine learning communities. By exploiting the inherent parallelism of numerous treads operating on an array of dedicated special purpose processors, the computations of many deep learning problems can be substantially accelerated, including training a convolutional neural network and locating the optimal topology for a Kohonen map. HELICON 2018 aspires to illustrate the technological potential and the financial benefits of adopting the GPU technology for deep learning purposes through a series of high quality papers.
The name HELICON is a tribute to the Galactic Empire universe created by Isaac Asimov.
Submission Guidelines
The peer review will rely on content novelty, contribution potential, as well as on topic elucidation and expressive power. Mathematically rigorous papers or works supported by an original or outstanding implementation, preferably posted on GitHub, are especially welcome, and so are maverick papers with thought provoking ideas. Each submitted paper is expected to abide by the ACM SIG Proceedings guidelines, available at:
http://www.acm.org/publications/article-templates/proceedings-template.html
List of Topics
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Deep learning
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GPU programming for deep learning
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GPU architectures for efficient kernel computation
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GPU applications to graph mining
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Ill conditioned and inverse problems
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Regularization methods, Tikhonov theory, and Sobolev spaces
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Reproducible kernel Hilbert spaces
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Recurrent and convolutional networks
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Kohonen networks and self organizing maps
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Tensor stack networks
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Big data, large set, and tensor analytics
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Data structures for deep learning
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Image processing and applications
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Higher order moments and cumulants
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Pattern mining in multilayer graphs
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Multilinear discriminant analysis
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Adaptive signal processing in nonstationary environments
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Efficient computation of multivariate Taylor, Volterra, and Wallace series
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Adaptive nonlinear system identification
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TensorFlow, theano, and keras applications
Program Committee (in alphabetical order)
Chairs
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Georgios Drakopoulos, Senior Researcher, Ionian University and Founding CEO, Cloudminers Inc.
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Andreas Kanavos, Adjunct Professor, Hellenic Open University and TEI of Western Greece
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Phivos-Apostolos Mylonas, Assistant Professor, Ionian University
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Spyros Sioutas, Associate Professor, Ionian University
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Ioannis E. Venetis, Postdoctoral Researcher, University of Patras
Members (TBU)
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Nikos Fakotakis, Professor, University of Patras
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Vassilis Kalantzis, Senior Researcher, University of Minessota, Twin Cities
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Nikos Karakapilidis, Professor, University of Patras
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Eugenia-Maria Kontopoulou, Senior Researcher, Purdue University
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Christos Makris, Associate Professor, University of Patras
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Foteini Stathopoulou, Researcher and MRes Grant Holder, University of Luxembourg
Publication
All paper submissions will be only handled electronically via Easychair separately but under supervision from the main event (SETN 2018). Please note that submitted papers should not have been submitted, accepted, or published to another conference or journal.
HELICON papers can either be short (2-4 pages) or full (6-10 pages). Both paper types will be included in the SETN proceedings and, consequently, will be published in the ACM Digital Portal.
Finally, if a paper is accepted, then it has to be registered for before the deadline set by SETN. Also, at least one author must present the paper to HELICON.
Venue
HELICON will be held in conjunction with SETN 2018 (setn2018.upatras.gr) from 9th to the 15th of July 2018 in the Conference and Cultural Center of the University of Patras. The exact date will be announced soon.
Contact
All questions about submissions should be emailed to either Georgios Drakopoulos (c16drak@ionio.gr) or Andreas Kanavos (kanavos@ceid.upatras.gr).
Also, find us at Twitter @HELICON2018