14 June 2024
on course website
Advanced Course on Data Science & Machine Learning
The 7th Advanced Course on Data Science & Machine Learning – ACDL 2024 (June 10-14) is a full-immersion five-day Course at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in Deep Learning and Data Science with lectures delivered by world-renowned experts. The Course provides a stimulating environment for PhD students, junior academics, early career researches, Post-Docs and industry leaders. Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial and productive environment.
PhD students, PostDocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants.The Course will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course.
LECTURERS:
Each Lecturer will hold up to four lectures on one or more research topics.
* Joseph Sifakis, Verimag Laboratory, Grenoble, France *Turing Award*
Lectures “Artificial Intelligence: Where We Are, Where We Are Going?”
* Gabriel Barth-Maron, DeepMind, London, UK
4 Lessons on "Multimodal Foundation Models"
* Sergiy Butenko, Texas A&M University, USA
“Cluster-detection Methods in Network-based Data Analysis”
“Continuous Approaches to Cluster-Detection Problems in Networks ”
* Sven Giesselbach, Fraunhofer Institute - IAIS, Germany
5 Lessons on "Introduction on Foundation Models"
* Ramin Hasani, MIT, USA
4 Lessons on "Continuous Neural Networks / Liquid Neural Networks"
* Nora Kassner, DeepMind, London, UK
"Large Language Models: Life after Pre-training"
"Large Language Models: Evaluation"
"Large Language Models: Reasoning and Factuality"
"Large Language Models: Retrieval augmentation and Tool-use"
* Petros Koumoutsakos, Harvard University, USA
“Machine Learning for Modeling and Control of Complex Systems” 1/2
“Machine Learning for Modeling and Control of Complex Systems” 2/2
“Solving forward and inverse problems with and without neural networks”
“Bayesian Uncertainty Quantification”
* Maria Liakata, The Alan Turing Institute, UK
4 Lessons on "Longitudinal Language Processing with User Generated Content"
* Panos Pardalos, University of Florida, USA
Lectures 1-2 TBA
Topics: Data Science, Application to Neuroscience
* Jakub M. Tomczak, Eindhoven University of Technology, The Netherlands
4 Lessons on “Deep Generative Modelling”
* Rianne van den Berg, Microsoft Research Amsterdam, The Netherlands
3 Lessons on "Diffusion Models"
* Pascal Van Hentenryck, Georgia Institute of Technology, USA
3 Lessons on "Fusing Machine Learning and Optimization for Engineering"
* Max Welling, University of Amsterdam, The Netherlands
3 Lessons on "Generalized Belief Propagation Algorithms for Tensor Network Contractions"
To participate in the ACDL 2024, all attendants must
(1/2) register for the course (by February 23, 2024) and
(2/2) book accommodation at the course venue, “Riva del Sole Resort & SPA” (by March 23, 2024); all attendants must stay at the “Riva del Sole Resort & SPA”.
Once accommodation has been booked at “Riva del Sole Resort & SPA“, the participant must send this information (including the Booking Number) to the ACDL organizing committee (acdl@icas.cc).
ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made.
For privacy reasons, the Hotel can not match people. If you have someone to share the apartment with, please send to the Hotel (events@rivadelsole.it) the name, surname and email address. Otherwise the solution is to book an apartment in single use.
ACDL 2024 Topics:
Artificial Intelligence
Artificial General Intelligence
Autonomous Systems
Big Data
Cognitive Computing
Computational Cognitive Science
Constraint-Based Approaches to Machine Learning
Deep Learning
Explainable Artificial Intelligence
Human-level AI
Foundation Models
Generative Adversarial Networks
Generative Artificial Intelligence
Large Language Models
Large Vision Models
Natural Language Processing
Probabilistic Generative Models
Reinforcement Learning
Robotics
Self-Driving Vehicles
Transformers
Theory of Deep Learning
Course leader
Directors
Giuseppe Nicosia, University of Catania, Italy
Panos Pardalos, University of Florida, USA
Target group
The Course provides a stimulating environment for PhD students, junior academics, early career researches, Post-Docs and industry leaders. Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial and productive environment.
Course aim
ACDL 2024
The lectures will be delivered by world renowned experts in the field, from both academia and industry, and will cover both theoretical and practical aspects of AI, Machine/Deep Learning, Generative AI, and Data Science.
ECTS Points
The Course will involve a total of 36-40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the course; during the course the PhD students will tackle home-works/projects.
Two-steps procedure for participating in ACDL 2024
To participate in the ACDL 2024, all attendants must
(1/2) register for the course (by February 23, 2024) and
(2/2) book accommodation (by the accommodation form) at the course venue, “Riva del Sole Hotel” (by by April 23, 2024); all attendants must stay at the “Riva del Sole Hotel”. Once accommodation has been booked at Riva del Sole Hotel, the participant must send this information to the ACDL organizing committee (acdl@icas.cc).
PayPal will be used to pay the registration fee.
Credits info
8 EC
PhD students, Postdocs, Industry Practitioners, Junior Academics, and will be typical profiles of the ACDL attendants. The Course will involve a total of 36-40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points.
Fee info
EUR 580: Early Registration Fee (by February 23, 2024): € 580
The Registration Fees cover:
all course sessions,
oral presentations,
tutorials,
PayPal/Bank service, VAT,
all the scientific activities.
EUR 630: Late Registration Fee (from April 24, 2024): € 630
The Registration Fees cover:
all course sessions,
oral presentations,
tutorials,
PayPal/Bank service, VAT,
all the scientific activities.
Scholarships
No scholarships.
Register for this courseon course website
