More Keynote
Speakers to be
announced soon.
ACDL 2021 TUTORIAL
SPEAKERS:
* Roman Belavkin,
Middlesex
University London,
UK
* Martín Gómez
Ravetti, Federal
University of
Minas Gerais,
Brazil
More Tutorial
Speakers to be
announced soon.
PAST LECTURERS:
https://acdl2021.icas.cc/past-lecturers/
* Ioannis
Antonoglou, Google
DeepMind, UK
* Igor Babuschkin,
DeepMind - Google,
London, UK
* Pierre Baldi,
University of
California Irvine,
USA
* Roman Belavkin,
Middlesex
University London,
UK
* Yoshua Bengio,
University of
Montreal, Canada
* Michael
Bronstein, Twitter
& Imperial
College London, UK
* Sergiy Butenko,
Texas A&M
University, USA
* Giuseppe Di
Fatta, University
of Reading, UK
* Marco Gori,
University of
Siena, Italy
* Yi-Ke Guo,
Imperial College
London, UK &
Founding Director
of Data Science
Institute
* Phillip Isola,
MIT, USA
* Leslie
Kaelbling, MIT -
Computer Science
& Artificial
Intelligence Lab,
USA
* Diederik P.
Kingma, Google
Brain, San
Francisco, CA, USA
* Ilias S.
Kotsireas, Wilfrid
Laurier
University, Canada
* Risto
Miikkulainen,
University of
Texas at Austin,
USA
* Peter Norvig,
Director of
Research, Google
* Panos Pardalos,
University of
Florida, USA
* Alex 'Sandy'
Pentland, MIT
& Director of
MIT’s Human
Dynamics
Laboratory, USA
* José C.
Principe,
University of
Florida, USA
* Marc'Aurelio
Ranzato, Facebook
AI Research Lab,
New York, USA
* Dolores Romero
Morales,
Copenhagen
Business School,
Denmark
* Ruslan
Salakhutdinov,
Carnegie Mellon
University, and AI
Research at Apple,
USA
* Guido
Sanguinetti, The
University of
Edinburgh, UK
* Josh Tenenbaum,
MIT, USA
* Naftali Tishby,
Hebrew University,
Israel
* Mihaela van der
Schaar, University
of Cambridge
* Joaquin
Vanschoren,
Eindhoven
University of
Technology, The
Netherlands
* Oriol Vinyals,
Google DeepMind,
UK
SCOPE:
MSc
students, PhD
students,
postdocs,
junior/senior
academics, and
industry
practitioners
will be
typical
profiles of
the
attendants.
In fact, 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 and junior
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.
