*** ESSAI 2024 courses have been provisionally scheduled as follows. ***
Each ESSAI course lasts for one week (5 days * 1.5 hours per day). Courses are categorized as Introductory (I) and Advanced (A). When registering for ESSAI, you will be asked to indicate your course preferences. However, you are free to attend any course you prefer for the week you have registered (week1, week2 or both). The preference registration is mainly used by the organizers to ensure that there is enough space for each course offered.
| ESSAI 2024 Courses | |
|---|---|
| Week 1 ~ July 15-19 | Week 2 ~ July 22-26 |
| Tensor Computations for Machine Learning (A) | Explainable Machine Learning (I) |
| Introduction to Constraint Satisfaction (I) | Quantification: Predicting Class Frequencies via Supervised Learning (I) |
| Formal Aspects of Strategic Reasoning and Game Playing (I) | Deep Reasoning in AI with Answer Set Programming (I) |
| Integrated Knowledge-based and Data-driven Reasoning, Control, and Learning in Robotics: Robustness, Rationality, and Explainable Agency (A) | Introduction to computational argumentation semantics (I) |
| Unlocking Data Insights: Introduction to Data-Centric AI (I) | Universal Models and the Chase Procedure (A) |
| Logic-based specification and verification of multi-agent systems (A) | From Quantity to Quality: The Role of Large Datasets in Language AI Evolution (I) |
| Fairness and Explainability: Models, measurements, and mitigation strategies (A) | Learning Paradigms for Hybrid Decision-Making (I) |
| The Legislation Game: Introduction to Legal Issues in Artificial Intelligence and Large Language Models (I) | Harnessing Scientific AI for Knowledge Discovery in the Open Research Knowledge Graph (A) |
| Game-Theoretic Approach to Temporal Synthesis (A) | Explainable AI via Argumentation: Theory & Practice (I) |
| Self-Governing Multi-Agent Systems (I) | Multi-Agent Systems and Evolution (I) |
| Logic-Based Explainable Artificial Intelligence (A) | Machines Climbing Pearl’s Ladder of Causation (I) |
| Agent-Based Simulation in Complex Networks (I) | AI Governance in Europe: Navigating the AI Act, Establishing AI Offices and Upholding European Principles (I) |
| Large Language Models, Societal Harms, and their Mitigation (I) | Algorithms for Causal Probabilistic Graphical Models (I) |
| Probabilistic Circuits: Tractable Representations for Learning and Reasoning (A) | Neural-symbolic Knowledge Representation and Reasoning (I) |
| Practical AI for Autonomous Robots (I) | |
| Learning to behave via imitation (A) | |
More information about the above courses can be found here.
| ACAI 2024 Tutorials | ||
|---|---|---|
| Week 1 ~ July 15-19 | ||
| Date | Tutorial | Speaker |
| Monday, July 15 | Deep Learning and Computer Vision for Surface Anomaly Detection | Danijel Skočaj |
| Tuesday, July 16 | Equivariance in Learning for Perception | Kostas Daniilidis |
| Wednesday, July 17 | Complex Event Recognition | Alexander Artikis |
| Thursday, July 18 | Computationally Efficient Learning under Noisy Data | Christos Tzamos |
| Friday, July 19 | The Self-Supervised Learning Paradigm in Computer Vision | Nikos Komodakis |
| Week 2 ~ July 22-26 | ||
| Date | Tutorial | Speaker |
| Monday, July 22 | Generative AI in Computer Vision | Vicky Kalogeiton |
| Tuesday, July 23 | Exploring the Intersection of Voting Theory and AI | Zoi Terzopoulou |
| Tuesday, July 23 | Generative Models for Robot Control | Katerina Fragkiadaki |
| Wednesday, July 24 | Can Large Language Models Reason and Plan? | Subbarao Kambhampati |
| Thursday, July 25 | The Power of Graph Learning | Floris Geerts |
| Friday, July 26 | Self-designing AI Systems | Stratos Idreos |
More information about the above tutorials can be found here.
