[loginf] ACDL 2019, Advanced Course on Data Science & Machine Learning - Early Registration March 31

Ludovico Montalcini ludovico.montalcini at gmail.com
Wed Jan 9 10:11:34 CET 2019

ACDL 2019, Advanced Course on Data Science & Machine Learning
An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders

ACDL 2019 – A Unique Experience:
Data Science, Machine Learning & AI with the World’s Leaders
in the fascinating atmosphere of the ancient Certosa di Pontignano

Certosa di Pontignano, Siena - Tuscany, Italy
July 15-19, 2019
https://acdl2019.icas.xyz      acdl at icas.xyz

ACDL 2018 Sold-out! Probably also ACDL 2019:

Early registration deadline: March 31, 2019


Each Lecturer will hold three lessons on a specific topic.
The Lecturers below are confirmed.

Ioannis Antonoglou, Google DeepMind, UK
Topic: General Reinforcement Learning Algorithms

Marco Gori, University of Siena, Italy
Topic: Constraint-Based Approaches to Machine Learning

Phillip Isola, MIT, USA
Topic: Generative Adversarial Networks

Dolores Romero Morales, Copenhagen Business School, Denmark
Topic: Big Data

Ruslan Salakhutdinov, Carnegie Mellon University & AI Research at Apple, USA
Topic: Deep Learning

Josh Tenenbaum, MIT, USA
Topics: Computational Cognitive Science, probabilistic generative models,
and probabilistic programming

Naftali Tishby, Hebrew University, Israel
Topic: Theory of Deep Learning – Information Bottleneck

Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands
Topic: Automatic machine learning

Oriol Vinyals, Google DeepMind, UK
Topic: Deep Learning & Reinforcement Learning

The Advanced Course is not a summer school suited only for younger
scholars. Rather, a significant proportion of seasoned investigators are
regularly present among the attendees, often senior faculty at their own
institutions. The balanced audience that we strive to maintain in each
Advanced Course greatly contributes to the development of intense
cross-disciplinary debates among faculty and participants that typically
address the most advanced and emerging areas of each topic.

Each faculty member presents lectures and discusses with the participants
for one entire day. Such long interaction together with the small,
exclusive Course size provides the uncommon opportunity to fully explore
the expertise of each faculty, often through one-to-one mentoring. This is
unparalleled and priceless.

The Certosa di Pontignano provides the perfect setting to a relaxed yet
intense learning atmosphere, with the stunning backdrop of the Tuscan
landscapes. World-class wines and traditional foods will make the Advanced
Course on Data Science and Machine Learning the experience of a lifetime.

During the Registration Process we accept abstract submissions for posters
and oral presentations to be presented during the poster sessions and the
talk sessions.
Early registration deadline: March 31, 2019

The venue of ACDL 2018 will be The Certosa di Pontignano — Siena

Dr. Lorenzo Pasquinuzzi
The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany –
phone: +39-0577-1521104
fax: +39-0577-1521098
info at lacertosadipontignano.com

A few Kilometres from Siena, on a hill dominating the town stands the
ancient Certosa di Pontignano, a unique place where nature, history and
hospitality blend together in memorable harmony. Built in the 1300, its
medieval structure remains intact with additions of the following
centuries. The Certosa is centred on its historic cloisters and gardens.



Past Edition - ACDL 2018:

ACDL 2019 Poster:


We remind you that ACDL 2018 sold out a long time before the registration
Anyone interested in participating in ACDL 2019 should register as soon as
Similarly for accommodation at the Certosa di Pontignano (the School
Venue), book your full board accommodation at the Certosa as soon as
All course participants should/must stay at the Certosa di Pontignano.

See you in Tuscany next July!
   ACDL 2019 Organizing Committee.

acdl at icas.xyz
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.tcs.ifi.lmu.de/pipermail/loginf/attachments/20190109/103a07f8/attachment.html>

More information about the loginf mailing list