MESS 2024 ~ autoDL meets HPC ~ 15-18 July 2024, Catania, Italy
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Mario F. Pavone
Feb 26, 2024, 2:26:30 AMFeb 26
to AIROYoung Researchers
Call for Participation (apologies for multiple copies)
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MESS 2024 - Metaheuristics Summer School
- Automated Deep Learning meets High-Performance Computing -
15-18 July 2024, Catania, Italy
https://www.ANTs-lab.it/mess2024/
mess....@ANTs-lab.it
https://www.facebook.com/groups/MetaheuristicsSchool/
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** APPLICATION DEADLINE: 16th March 2024 **
MESS 2024 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide them with an overview on the metaheuristics techniques, and an in-depth analysis of the state-of-the-art. It is a full-immersion four-days course in the beautiful city of Catania whose goal is to offer all participants with a stimulating environment to study and learn advanced concepts and recent research in the fields of Metaheuristics, Optimization, Machine Learning and Artificial Intelligence, in general.
The main theme of this edition is focused on “Automated Deep Learning Meets High-Performance Computing”, that is how these research areas may interact and affect each other in order to develop reliable and robust solving methodologies for Big Data analysis, and data-driven problems.
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.
** LECTURERS
+ Thomas Bartz-Beielstein, TH Koln, Germany
Lecture#1: Introduction to Surrogate-Based Hyperparameter Tuning in Classical Machine Learning, Online Machine Learning, and Deep Learning
Lecture#2: Exploring Hyperparameter-Tuning Applications: Optimizing scikit-learn, River, and PyTorch with SPOT and Other Tuning Techniques
+ Aaron Klein, AWS Research Berlin, Germany
Lecture#1: Introduction into AutoML: Hyperparameter Optimization
Lecture#2: Introduction into AutoML: Neural Architecture Search
+ Eric Medvet, University of Trieste, Italy
Lecture#1: Metaheuristics for policy search in continuous control
Lecture#2: Beyond policy search: optimizing body and brain of simulated robotic agents
+ El-Ghazali Talbi, University of Lille1, France
Lecture#1: TBA
Lecture#2: TBA
~ More Lecturers will be announced soon ~
** METAHEURISTICS COMPETITION
All participants will be involved in the “Metaheuristics Competition Race”, where each of them, individually or divided in working groups (no more than 3 people), will develop a metaheuristic solution for a given problem presented during the school.
The top three of the competition ranking will receive the MESS 2024 award and will be involved in the writing of a manuscript dedicated to the competition that, afterwards, will be submitted to an international journal for possible publication. In addition, the remaining best ten in the ranking (excluding the top three, of course) will be invited to report their work in a manuscript which will be published in the special MESS 2024 Volume of the AIRO Springer Series.
** SHORT ORAL PRESENTATION
All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. The Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school.
The Abstracts must be submitted during the application by *March 16, 2020*.
** MESS 2024 DIRECTORS:
- Salvatore Greco, University of Catania, Italy
- Mario Pavone, University of Catania, Italy
- Andrea Schaerf, University of Udine, Italy
- El-Ghazali Talbi, University of Lille1, France
- Daniele Vigo, University of Bologna, Italy
** METAHEURISTICS COMPETITION CHAIRS:
- Raffaele Cerulli, University of Salerno, Italy
- Sara Ceschia, University of Udine, Italy
- Carmine Cerrone, University of Genoa, Italy
- Andrea Schaerf, University of Udine, Italy
** MORE INFORMATION:
https://www.ANTs-lab.it/mess2024/ -- mess....@ANTs-lab.it
Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/
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MESS 2024 - Metaheuristics Summer School
- Automated Deep Learning meets High-Performance Computing -
15-18 July 2024, Catania, Italy
https://www.ANTs-lab.it/mess2024/
mess....@ANTs-lab.it
https://www.facebook.com/groups/MetaheuristicsSchool/
-----------------------------------------------------------------------
** APPLICATION DEADLINE: 16th March 2024 **
MESS 2024 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide them with an overview on the metaheuristics techniques, and an in-depth analysis of the state-of-the-art. It is a full-immersion four-days course in the beautiful city of Catania whose goal is to offer all participants with a stimulating environment to study and learn advanced concepts and recent research in the fields of Metaheuristics, Optimization, Machine Learning and Artificial Intelligence, in general.
The main theme of this edition is focused on “Automated Deep Learning Meets High-Performance Computing”, that is how these research areas may interact and affect each other in order to develop reliable and robust solving methodologies for Big Data analysis, and data-driven problems.
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.
** LECTURERS
+ Thomas Bartz-Beielstein, TH Koln, Germany
Lecture#1: Introduction to Surrogate-Based Hyperparameter Tuning in Classical Machine Learning, Online Machine Learning, and Deep Learning
Lecture#2: Exploring Hyperparameter-Tuning Applications: Optimizing scikit-learn, River, and PyTorch with SPOT and Other Tuning Techniques
+ Aaron Klein, AWS Research Berlin, Germany
Lecture#1: Introduction into AutoML: Hyperparameter Optimization
Lecture#2: Introduction into AutoML: Neural Architecture Search
+ Eric Medvet, University of Trieste, Italy
Lecture#1: Metaheuristics for policy search in continuous control
Lecture#2: Beyond policy search: optimizing body and brain of simulated robotic agents
+ El-Ghazali Talbi, University of Lille1, France
Lecture#1: TBA
Lecture#2: TBA
~ More Lecturers will be announced soon ~
** METAHEURISTICS COMPETITION
All participants will be involved in the “Metaheuristics Competition Race”, where each of them, individually or divided in working groups (no more than 3 people), will develop a metaheuristic solution for a given problem presented during the school.
The top three of the competition ranking will receive the MESS 2024 award and will be involved in the writing of a manuscript dedicated to the competition that, afterwards, will be submitted to an international journal for possible publication. In addition, the remaining best ten in the ranking (excluding the top three, of course) will be invited to report their work in a manuscript which will be published in the special MESS 2024 Volume of the AIRO Springer Series.
** SHORT ORAL PRESENTATION
All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. The Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school.
The Abstracts must be submitted during the application by *March 16, 2020*.
** MESS 2024 DIRECTORS:
- Salvatore Greco, University of Catania, Italy
- Mario Pavone, University of Catania, Italy
- Andrea Schaerf, University of Udine, Italy
- El-Ghazali Talbi, University of Lille1, France
- Daniele Vigo, University of Bologna, Italy
** METAHEURISTICS COMPETITION CHAIRS:
- Raffaele Cerulli, University of Salerno, Italy
- Sara Ceschia, University of Udine, Italy
- Carmine Cerrone, University of Genoa, Italy
- Andrea Schaerf, University of Udine, Italy
** MORE INFORMATION:
https://www.ANTs-lab.it/mess2024/ -- mess....@ANTs-lab.it
Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/
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