2nd International Summer School on Deep Learning 2018

Genova, Italy, July 23-27, 2018

DeepLearn 2018 Registration Form

(form version 1.11 courses)


It is to be carried out by PayPal

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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. All bank fees are the responsibility of the person who registers

General remarks concerning registration:
  • The registration is not complete until the fees have been received.
  • The organizers reserve the right to reject a request for registration if the capacity of the venue is complete. In that case, the on-line registration facility will have been disabled.
  • Participants in need of a letter of invitation to apply for a visa will get it only after they have registered and paid the fees.
  • For security reasons, you should fill in the form in less than 10 minutes.

General remarks concerning payment:
  • The date that defines the fees applicable is when the payment is carried out.
  • The payment will be acknowledged soon after it is received.
  • Participants registering on site must pay in cash. For the sake of local organization, however, it is much recommended to do it earlier.
  • Refunding of registration fees will not be possible.


Fees comprise access to all courses and lunches.

Registration deadlines and fees

February 14, 2018310 €
March 12, 2018340 €
April 7, 2018370 €
May 3, 2018400 €
May 29, 2018430 €
June 24, 2018460 €
Regular registration (July 20, 2018)490 €
On site registration520 €

Please provide the following contact information: (bold fields are mandatory)!

First name (with accents):

Surname (with accents)




(Professor, Researcher, PhD student, etc.)




Please provide the following academic background:

Degree (PhD, Masters, Bachelor, etc.):


Speciality (if any):

Registration Type:

520 Euro: Full

free: (only organizers and support team)

Please select 8 courses you would tentatively like to attend. (This selection is only for organizational purposes and nonbinding for you.)

Tülay Adali (University of Maryland, Baltimore County), [introductory/intermediate] Data Fusion through Matrix and Tensor Decompositions: Linear, Multilinear, and Nonlinear Models and their Applications

Pierre Baldi (University of California, Irvine) [intermediate/advanced] Deep Learning: Theory, Algorithms, and Applications to the Natural Sciences

Thomas Breuel (NVIDIA Corporation) [intermediate] Rational Design of Robust Large Scale Deep Learning Systems

Joachim M. Buhmann (Swiss Federal Institute of Technology Zurich) [introductory/advanced], Model Selection by Algorithm Validation

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

Marco Gori (University of Siena) [advanced] Constrained Learning and Reasoning with Constraints

Michael Gschwind (IBM Global Chief Data Office) [introductory/intermediate] Deploying Deep Learning at Enterprise Scale

Namkug Kim (Asan Medical Center) [intermediate] Deep Learning for Computer Aided Detection/Diagnosis in Radiology and Pathology

Sun-Yuan Kung (Princeton University) [introductory] A Methodical and Cost-effective Approach to Optimization/Generalization of Deep Learning Networks

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

Douglas A. Reynolds (Massachusetts Institute of Technology) & Najim Dehak (Johns Hopkins University), [introductory/intermediate] More than Words can Say: Machine and Deep Learning for Speaker, Language, and Emotion Recognition from Speech

Björn Schuller (Imperial College London) [intermediate/advanced] Deep Learning for Signal Analysis

Michèle Sebag (French National Center for Scientific Research, Gif-sur-Yvette), [intermediate] Representation Learning, Domain Adaptation and Generative Models with Deep Learning

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

René Vidal (Johns Hopkins University), [intermediate/advanced] Mathematics of Deep Learning

Eric P. Xing (Carnegie Mellon University) [intermediate/advanced], A Statistical Machine Learning Perspective of Deep Learning: Algorithm, Theory, Scalable Computing

Ming-Hsuan Yang (University of California, Merced) [intermediate/advanced] Learning to Track Objects

Mohammed J. Zaki (Rensselaer Polytechnic Institute), [introductory] Introductory Tutorial on Regression and Deep Learning

Yudong Zhang (University of Leicester) [introductory/intermediate] Convolutional Neural Network and Its Variants

Supplementary information:

Arriving Date:

Departure Date:

Notes for organizers:

Acknowledgment of the payment:

Security question:

How much is 18+2

Acknowledgement and Copyright Notice

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