Arrival: Saturday September 19, 2026
9:00 - 9:50
Lecture 1/3 "Introduction to Multi-Agent Reinforcement Learning"
Stefano V. Albrecht 
9:50 - 10:40
Lecture 2/3 "If Multi-Agent Foundation Models is the Answer, What is the Question?"
Stefano V. Albrecht
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 3/3 "Becoming an AI Researcher: Practical Advice for Graduate Students"
Stefano V. Albrecht
12:10 - 13:00
Impact of AI and Optimization on the economics of sustainability
Panos Pardalos 
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture "Agentic AI part 1"
Sven Giesselbach 
15:50 - 16:40
Lecture "Agentic AI part 2"
Sven Giesselbach
16:40 - 17:20
Lecture "Agentic AI part 3"
Sven Giesselbach
17:20 - 18:10
Poster Session
18:10 - 20:00
Short Talks
20:00 -
Dinner
9:00 - 9:50
Lecture 1/3 "Foundations of Guardrailing Agentic AI via Temporal Synthesis"
Giuseppe De Giacomo 
9:50 - 10:40
Lecture 2/3 "Foundations of Guardrailing Agentic AI via Temporal Synthesis"
Giuseppe De Giacomo
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 3/3 "Foundations of Guardrailing Agentic AI via Temporal Synthesis"
Giuseppe De Giacomo
12:10 - 13:00
Lecture 1/2 "Agentic Security (how to attack and defend against prompt injection)"
Jamie Hayes 
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 2/2 "Agentic Security (how to attack and defend against prompt injection)"
Jamie Hayes
15:50 - 16:40
Lecture 1/3 "On the impact of data for vision-language learning (1/2)"
Christoph Feichtenhofer 
16:40 - 17:20
Coffee break
17:20 - 18:10
Lecture 2/3 "On the impact of data for vision-language learning (2/2)"
Christoph Feichtenhofer
18:10 - 19:00
Lecture 3/3 "Building frontier visual segmentation models"
Christoph Feichtenhofer
19:00 - 20:00
Free Time
20:00 -
Dinner
9:00 - 9:50
Lecture 1/3 "Predictive coding: training neural networks with local rules"
Rafal Bogacz 
9:50 - 10:40
Lecture 2/3 "Predictive coding: advantages over backpropagation"
Rafal Bogacz
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 1/3 "Neuroevolution: The basics"
Sebastian Lins Risi 
12:10 - 13:00
Lecture 2/3 "Neuroevolution: Diversity, Novelty, and Open-Ended Discovery"
Sebastian Lins Risi
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 3/3 "Neuroevolution: Synergies with Generative AI"
Sebastian Lins Risi
15:50 - 16:40
Lecture "Generative Smart Spaces - A Novel Physical-AI Approach to Programming Future Internet-of-Things"
Sumi Helal 
16:40 - 17:20
Coffee break
17:20 - 20:00
Oral Session
20:00 -
Social Dinner
9:00 - 9:50
Lecture 1/3 "Complex Event Recognition/Forecasting and Applications"
George Paliouras 
9:50 - 10:40
Lecture 3/3 "Predictive coding: implementation"
Rafal Bogacz
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 2/3 "Large-Scale Probabilistic Complex Event Recognition/Forecasting"
George Paliouras
12:10 - 13:00
Lecture 1/3 "The rise of generative AI agents: reasoning, memory and planning capabilities"
Bruno Lepri 
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 2/3 "The social intelligence of generative AI agents: social norms, social reasoning and Theory of Mind"
Bruno Lepri
15:50 - 16:40
Lecture 3/3 "A society of generative AI agents: emergence of collective behaviors, safety and implications for human societies"
Bruno Lepri
16:40 - 17:20
Lecture 1/3 "The rise of Tabular Foundation Models"
Marine Le Morvan 
17:20 - 18:10
Lecture 2/3 "TabICL: on open Tabular Foundation Model"
Marine Le Morvan
18:10 - 19:00
Lecture 3/3 "Next frontiers for TFMs"
Marine Le Morvan
19:00 - 20:00
Oral Session
20:00 -
Dinner
9:00 - 9:50
Lecture 3/3 "Neuro-Symbolic Reasoning and Learning for Complex Event Recognition/Forecasting"
George Paliouras
9:50 - 10:40
Lecture 1/3 "Computational Cognitive Modeling Using Reinforcement Learning"
Maria K. Eckstein 
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 2/3 "Advancing Cognitive Modeling by Combining Hand-Crafted and Neural-Network Models"
Maria K. Eckstein
12:10 - 13:00
Lecture 3/3 "Advancing Cognitive Modeling using Procedurally-Generated Task Spaces"
Maria K. Eckstein
13:00 - 15:00
Lunch
15:00 - 20:00
Free Time
20:00 -
Dinner
Departure: Friday September 25, 2026
