-------- Forwarded Message -------- Subject: [AISWorld] 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 Date: Tue, 9 Jun 2020 10:59:17 +0200 From: Ludovico Montalcini ludovico.montalcini@gmail.com

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****** 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@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@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.

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