1st European Summer School on Artificial Intelligence (ESSAI) & 20th Advanced Course on Artificial Intelligence (ACAI) , Ljubljana 2023

About

The European Summer School on Artificial Intelligence (ESSAI) is a direct product of European AI research being increasingly coordinated and scaled up across projects, research organisations and countries. ESSAI’s immediate predecessors are the Advanced Course on AI (ACAI), organised since 1985 under the auspices of the European Association for Artificial Intelligence (EurAI), and the TAILOR Summer School on Trustworthy AI organised since 2021 by the European ICT-48 Network of Excellence on Trustworthy AI through Integrating Learning, Optimisation and Reasoning. Last year, these two schools were already co-located in Barcelona with two parallel tracks as well as joint events.

For more information visit essai.si

Videos

Opening

39:15

ESSAI and ACAI Opening

Aug 29, 2023

13 views

1st European Summer School on Artificial Intelligence (ESSAI) & 20th Advanced Course on Artificial Intelligence (ACAI) , Ljubljana 2023

About

Videos

Opening

ESSAI and ACAI Opening

Keynote

Foundation Models

Jure Leskovec

Round tables

AI for Science

AI for Society

1st European Summer School on Artificial Intelligence (ESSAI)

Multi-Objective Reinforcement Learning

Roxana Rădulescu

Machines Climbing Pearl’s Ladder of Causation

Adèle Helena Ribeiro,

Devendra Singh Dhami,

Matej Zečević

Machine Learning Beyond Static Datasets

Martin Mundt

Game-Theoretic Approach to Planning and Synthesis

Shufang Zhu,

Giuseppe Perelli,

Antonio Di Stasio

Uncertainty Quantification in Machine Learning

Matias Valdenegro-Toro,

Marco Zullich

Automated Verification of Multi-Agent Systems. Why, What, and Especially: How?

Catalina Dima,

Wojtek Jamroga

Pills of Answer Set Programming

Mario Alviano,

Francesco Ricca

Explaining and Repairing Description Logic Ontologies

Francesco Kriegel,

Franz Baader,

Patrick Koopmann

Knowledge representation and reasoning with ontologies

Panče Panov

Foundations of Automated Planning

Roman Barták

Temporal Reasoning in AI: an introduction

Nicola Gigante

From Statistical Relational to Neural Symbolic Artificial Intelligence

Giuseppe Marra,

Sebastijan Dumancic,

Robin Manhaeve

Smart-sized Benchmarking for Black-Box Optimization

Dragan Doder,

Tome Eftimov

AI fairness and privacy: fundamentals, synergies and conflicts

Tijl De Bie,

Maarten Buyl

Statistical evaluation of the performance of machine learning models

Richard Dinga

Formal Explainability in Artificial Intelligence

Nina Narodytska,

Alexey Ignatiev,

Joao Marques-Silva

Large Language Models: Background and Applications

Ivan Vulić,

Michael Roth

Practical Applications of Artificial Intelligence for Robotics

Timothy Wiley

Model Uncertainty in Sequential Decision Making

Nick Hawes,

Bruno Lacerda,

David Parker

Continual learning for image classification

Adrian Popescu

Probabilistic Circuits: Deep Probabilistic Models with Reliable Reasoning

Robert Peharz,

Antonio Vergari

Learning to act and plan

Blai Bonet,

Hector Geffner

AutoML: Accelerating Research on and Development of AI Applications

Marius Lindauer,

Katharina Eggensperger

20th Advanced Course on Artificial Intelligence (ACAI)