(form version 1.11 courses)
It is to be carried out by PayPal
When the registration form below is submitted, the PayPal button will appear filled in with the appropriate data.
A fee of 25 Euros will be added automatically, to cover the transfer expenses PayPal will charge to the organizers.
If a pre-invoice is required for the payment to be initiated by the institution, you can ask for it.
Exceptionally, payment by bank transfer is possible. Ask for our bank coordinates.
Fees comprise access to all courses and lunches.
|February 14, 2018||310 €|
|March 12, 2018||340 €|
|April 7, 2018||370 €|
|May 3, 2018||400 €|
|May 29, 2018||430 €|
|June 24, 2018||460 €|
|Regular registration (July 20, 2018)||490 €|
|On site registration||520 €|
First name (with accents):
Surname (with accents)
Please provide the following academic background:
Degree (PhD, Masters, Bachelor, etc.):
Speciality (if any):
340 Euro: Full
free: (only organizers and local staff)
Please select 8 courses you would tentatively like to attend. (This selection is only for organizational purposes and nonbinding for you.)
Pierre Baldi (University of California, Irvine) [intermediate/advanced] Deep Learning: Theory, Algorithms, and Applications to the Natural Sciences
Thomas Breuel (NVIDIA Corporation) [intermediate] Design and Implementation of Deep Learning Applications
Joachim M. Buhmann (Swiss Federal Institute of Technology Zurich), tba
Li Deng (Citadel) tba
Sergei V. Gleyzer (University of Florida) [introductory/intermediate] Feature Extraction, End-end Deep Learning and Applications to Very Large Scientific Data: Rare Signal Extraction, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware
Michael Gschwind (IBM Global Chief Data Office) [introductory/intermediate] Deploying Deep Learning at Enterprise Scale
Xiaodong He (Microsoft Research) [intermediate/advanced] Deep Learning for Natural Language Processing and Language-Vision Multimodal Intelligence
Namkug Kim (Asan Medical Center) [intermediate] Deep Learning for Computer Aided Detection/Diagnosis in Radiology and Pathology
Li Erran Li (Uber ATG) [intermediate/advanced] Deep Reinforcement Learning: Foundations, Recent Advances and Frontiers
Dimitris N. Metaxas (Rutgers University) [advanced] Adversarial, Discriminative, Recurrent, and Scalable Deep Learning Methods for Human Motion Analytics, Medical Image Analysis, Scene Understanding and Image Generation
Hermann Ney (RWTH Aachen University), [intermediate/advanced] Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks
Jose C. Principe (University of Florida), [introductory/advanced] Cognitive Architectures for Object Recognition in Video
Björn Schuller (Imperial College London) [intermediate/advanced] Deep Learning for Signal Analysis
Ponnuthurai N Suganthan (Nanyang Technological University), [introductory/intermediate] Learning Algorithms for Classification, Forecasting and Visual Tracking
Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning and Kernel Machines
Kenji Suzuki (Tokyo Institute of Technology) [introductory/advance] Deep Learning in Medical Image Processing, Analysis and Diagnosis
Gökhan Tür (Google Research) [intermediate/advanced] Deep Learning in Conversational AI
Ming-Hsuan Yang (University of California, Merced) [intermediate/advanced] Learning to Track Objects
Yudong Zhang (Nanjing Normal University) [introductory/intermediate] Convolutional Neural Network and Its Variants
Notes for organizers:
Acknowledgment of the payment:
How much is 6+2
Acknowledgement and Copyright Notice
To get City and Country information we use the GeoLite City databases, and the free server library provided by MaxMind (Copyright (c) 2008 MaxMind, Inc.) for which there is an OPEN DATA LICENSE.
This product includes GeoLite data created by MaxMind, available from http://www.maxmind.com/.