Connectionists: Call for Participation, ACDL2020, 3rd Advanced Course on Data Science & Machine Learning, July 13-17, Certosa di Pontignano (Siena) Tuscany - Italy, Early Registration: June 15

Tue Jun 9 04:59:17 EDT 2020

* Apologies for multiple copies. Please forward to anybody who might be
interested *

****** Register Now! The last remaining 15 seats! *******

June 9: Hurry up! The last remaining 15 seats! Register Now!

6 Days Left: Book your Early Bird Seats.

Still a few Seats left for the ACDL 2020 Course.

Hurry up and register! Only 15 seats are available!
**********************************************************

NEW LECTURERS:
* Guido Sanguinetti,  School of Informatics -  University of Edinburgh, UK
* Luca Zammataro, Yale University, USA

ACDL 2020 an On-Site & On-Line Event!

We have concluded that holding the event this year in mixed form both in
presence (like previous editions) and virtual is more advantageous than
postponing it until next year.

In order to accommodate a large number of situations, we are offering the
option for either physical presence or virtual participation. We would be
delighted if all participants manage to attend, but are aware that special
circumstances are best handled by having flexible options.

The advanced course, hence, will be held in presence with virtual rooms
 for participants using remote connection (e.g., Zoom or MS Teams). The
online lectures  (e.g., live presentations and/or recorded ones) will be
made possible.

W:  https://acdl2020.icas.xyz
E:  acdl at icas.cc
FB: https://www.facebook.com/groups/204310640474650/
T:  https://twitter.com/TaoSciences
News: https://acdl2020.icas.xyz/category/news/

The past 2 editions have attracted more than 150 students per year and
world-renowned experts in ML, AI, DP and DS including Yoshua Bengio, Leslie
Kaelbling, Peter Norvig, Alex 'Sandy' Pentland, Marc'Aurelio Ranzato,
Ruslan Salakhutdinov, Josh Tenenbaum, Naftali Tishby and Oriol Vinyals.
More info about our current and past editions can be found here:
https://acdl2020.icas.xyz/past-editions/

Early registration deadline: June 15
https://acdl2020.icas.xyz/registration/

CALL FOR PARTICIPATION, POSTER & ORAL PRESENTATIONS:

During the Registration Process we accept abstract submissions for posters
and oral presentations to be presented during the poster sessions and the
talk sessions.

https://acdl2020.icas.xyz/registration/
Early registration deadline: June 15

DEADLINES:
Early Registration Deadline: June 15.
Oral/Poster Presentation Submission Deadline: June 15.
Late Registration: from June 16  to July 10 (last date for registration).
Accommodation Reservation at the Certosa di Pontignano: July 10.
Notification of Decision for Oral/Poster Presentation: June 30.

LECTURERS:
Each Lecturer will hold three/four lessons on a specific topic.

* Igor Babuschkin, DeepMind - Google, London, UK
  Lecture 1: An Introduction to Deep Reinforcement Learning
  Lecture 2: Milestones in Large-scale Reinforcement Learning: AlphaZero,
OpenAI Five and  AlphaStar
  Lecture 3 – Tutorial: JAX, A new library for building neural networks

* Pierre Baldi, University of California Irvine, USA
  Lecture 1: TBA
  Lecture 2: TBA
  Lecture 3: TBA

* Michael Bronstein, Twitter & Imperial College London, UK
  Lecture 1:
  Lecture 2:
  Lecture 3:

* Sergiy Butenko, Texas A&M University, USA
  Lecture 1: TBA
  Lecture 2: TBA
  Lecture 3: TBA

* Marco Gori, University of Siena, Italy
  Lecture 1: TBA
  Lecture 2: TBA
  Lecture 3: TBA

* Diederik P. Kingma, Google Brain, San Francisco, CA, USA
  Lecture 1: VAEs and Normalizing Flows: An Introduction to Modeling
High-Dimensional Data with Deep Learning
  Lecture 2: Flow Contrastive Estimation: An (Un?)-Holy Trinity of
Energy-Based Models, Likelihood-Based Models and GANs
  Lecture 3: Finding Deeply Hidden Truths: Breakthroughs in Nonlinear
Identifiability Theory

* Risto Miikkulainen, University of Texas at Austin, USA
  Lecture 1: Evolving Neural Networks for POMDP Tasks
  Lecture 2: Evolutionary Neural Architecture Search
  Lecture 3: Evolutionary Surrogate-Assisted Optimization

* Panos Pardalos, University of Florida, USA
  Lecture 1: TBA
  Lecture 2: TBA
  Lecture 3: TBA

* José C. Principe, University of Florida, USA
Lecture 1: Beyond Backpropagation: Cognitive Architectures for Object
Recognition in Video – Requisites for a Cognitive Architecture
Lecture 2: Beyond Backpropagation: Cognitive Architectures for Object
Recognition in Video – Putting it all together
Lecture 3: Beyond Backpropagation: Cognitive Architectures for Object
Recognition in Video – Modular Learning for Deep Networks

* Guido Sanguinetti,  School of Informatics -  University of Edinburgh, UK
  Lecture 1: TBA
  Lecture 2: TBA
  Lecture 3: TBA

* Mihaela van der Schaar, University of Cambridge, UK
Lecture 1: Machine Learning for Medicine – a new research frontier
Lecture 2: Causal Inference and Estimating Individualized Treatment Effects
Lecture 3: From Black Boxes to White Boxes: Machine Learning
Interpretability, Explainability and Trustworthiness

* Luca Zammataro, Yale University, USA
  Lecture 1: TBA
  Lecture 2: TBA
  Lecture 3: TBA

TUTORIAL SPEAKERS:
* Chip Huyen, Stanford University, USA
4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research"

* Adam Paszke, University of Warsaw, Poland
4-hour tutorial on "PyTorch: A Modern Library for Machine Learning"

SCOPE:
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.

8 ECTS POINTS:
Participants will be delivered a certificate of attendance indicating the
number of hours of lectures (36-40 hours of lectures). In according to the
academic system all PhD and master students attending to the summer school
will may get 8 ECTS points.

A formal certificate of successful participation in the event will be
delivered indicating the number of hours of lectures.

VENUE & ACCOMMODATION:
The venue of ACDL 2020 will be The Certosa di Pontignano — Siena

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

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.

https://acdl2020.icas.xyz/venue/

ACCOMMODATION:
https://acdl2020.icas.xyz/accommodation/

REGISTRATION:
https://acdl2020.icas.xyz/registration/

Anyone interested in participating in ACDL 2020 should register as soon as
possible!
Similarly for accommodation at the Certosa di Pontignano (the School
Venue), book your full board accommodation at the Certosa as soon as
possible!
All course participants should/must stay at the Certosa di Pontignano.

See you (physically or virtually) in Tuscany in July!
   ACDL 2020 Organizing Committee.

E:     acdl at icas.cc
W:    https://acdl2020.icas.xyz
FB:   https://www.facebook.com/groups/204310640474650/
T:      https://twitter.com/TaoSciences
News: https://acdl2020.icas.xyz/category/news/

* Apologies for multiple copies. Please forward to anybody who might be
interested *
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