Detailed Schedule

Session 1 (9:00-10:30)

Monday-Thursday (Long Courses)	Friday (Short Tutorials)	Room 📍
🌱 Trustworthy AI by Indrė Žliobaitė	🚀 Neurosymbolic Visual Commonsense by Jakob Suchan, Mehul Bhatt	EI 9 Hlawka
🌱 Learning Deep Low-dimensional Models from High-Dimensional Data: From Theory to Practice by Qing Qu, Sam Buchanan, Yi Ma, Zhihui Zhu	🚀 Deep Logics as a Foundation for Neurosymbolic AI by Luc De Raedt	EI 7
🧠 Uncertainty in Machine Learning: From Aleatoric to Epistemic by Willem Waegeman, Eyke Huellermeier		EI 10 Fritz Paschke
🌱 Logic meets Learning by Vaishak Belle		EI 8 Pötzl
🌱 Introduction to Constraint Satisfaction by Roman Barták		Seminarraum 127 (next to EI 11 Geodäsie)
🌱 Multi-Perspective Reasoning in Knowledge Representation: An Introduction to Standpoint Logic by Lucía Gómez Álvarez, Timothy Lyon, Hannes Strass		EI 11 Geodäsie
🌱 Introduction to Digital Humanism by George Metakides, Erich Prem, Kees van Berkel, Julia Neidhardt	🚀 Towards Improving AI System Transparency by Marta Sabou, Laura Waltersdorfer	FAV 1 Helmut Veith

Coffee Break (10:30-11:00)

Session 2 (11:00-12:30)

Monday (Short Tutorials)	Tuesday-Friday (Long Courses)	Room 📍
	🧠 The Art of Compressing LLMs: Pruning, Distillation, and Quantization Demystified by Lavinia Ghita, Nael Fasfous, Liana Mikaelyan	EI 7
🚀 Preference Aggregation Reinforcement Learning from Human Feedback by Edith Elkind	🌱 Knowledge Compilation: Theory, Practice, and Applications by Johannes Fichte, Jean-Marie Lagniez	EI 9 Hlawka
🚀 Neurosymbolic AI: Solvers and LLMs by Stefan Szeider	🌱 Recurrent GNNs: The Power of Iteration by Jonni Virtema, Floris Geerts	EI 10 Fritz Paschke
🚀 Opinion Formation and Polarization in Social Networks by Stefan Neumann	🌱 AI for Autonomous Robots: Bridging Theory and Practice by Timothy Wiley	EI 8 Pötzl
🚀 Answer Set Programming and Beyond by Wolfgang Faber, Michael Morak	🌱 Wikidata: A backbone for Hybrid/Bilateral AI by Axel Polleres, Diego Rincon-Yanez	EI 11 Geodäsie
	🌱 Beyond Breakpoints: AI for Software Fault Localization by Birgit Hofer, Franz Wotawa	Seminarraum 127 (next to EI 11 Geodäsie)
	🌱 AI and Democracy by Heather Kurzbauer, Eugenia Stamboliev, Klaus Staudacher, Martin Lackner	FAV 1 Helmut Veith

Lunch Break (12:30-14:00)

Session 3 (14:00-15:30)

Monday–Friday, excluding Thursday    (Long Courses)	Room 📍
🧠 Foundations of Concept-Based Interpretable Deep Learning by Giuseppe Marra, Pietro Barbiero	EI 7
🧠 Reward and Constraint Learning: Foundations for Human-AI Alignment by Sebastian Tschiatschek	EI 9 Hlawka
🌱 Trustworthy Machine Learning from Data to Models by Bo Han	EI 10 Fritz Paschke
🌱 Data Driven Approaches in (Multi-objective) Bayesian Optimisation by Tinkle Chugh	EI 8 Pötzl
🌱 Why Is Symbolic Reasoning Computationally Hard? by Andreas Pieris	EI 2 Pichelmayer
🌱 Recommender Systems: Past, Present, and Future (Challenges) by Markus Reiter-Haas, Elisabeth Lex	EI 11 Geodäsie

Coffee Break (15:30-16:00)

Session 4 (16:00-17:30)

Monday–Friday, excluding Thursday    (Long Courses)	Room 📍
🧠 From In-Context Learning to Neuro-Symbolic Reasoning with Large Reasoning Models by Zied Bouraoui, Tanmoy Mukherjee	EI 7
🧠 Reinforcement Learning with Declarative Specifications by Natasha Alechina, Brian Logan	EI 9 Hlawka
🌱 Decision trees: from efficient prediction to responsible AI by Hendrik Blockeel	EI 10 Fritz Paschke
🌱 AI for Fair and Transparent Decision-Making from Legal and Technical Perspectives by Lorena Flórez Rojas, Matias Valdenegro	Seminarraum 127 (next to EI 11 Geodäsie) UPDATED!
🌱 Tractable Circuits: A Common Language for Logic, Probability, and Neural Models by Robert Peharz, Adrián Javaloy	EI 8 Pötzl
🧠 Modern Constraint Programming by Emir Demirović	EI 11 Geodäsie

Further Events

Monday	Tuesday	Wednesday	Thursday
18:30-22:00 Reception City Hall (Rathaus) 🎉 📍Address: Lichtenfelsgasse 2	18:00-19:30 Keynote Talk 🎙 The Expressive Power of Graph Learning Floris Geerts (Univeristy of Antwerp) 📍Lecture Rooms: EI 7 (main) EI 9 Hlawka (streaming) In cooperation with Digital Humanism Summer School 2026 (Attention: the keynote of Alessandra Russo was cancelled)	18:30-20:00 Keynote Talk 🎙 On the chasm between “AI for” and “AI with” people Sennay Ghebreab (University of Amsterdam) + Panel Discussion 📍Lecture Rooms: Kuppelsaal (main) Prechtlsaal (streaming) In cooperation with Digital Humanism Summer School 2026	13:45 - 15:15 (Short Tutorials) 🚀 An Introduction to Geometric Ontology Embeddings by Mena Leemhuis 📍Room: EI 8 Pötzl 🚀 What You Always Wanted to Know About Probability (But Were Afraid to Ask) by Robert Peharz 📍Room: EI 9 Hlawka 🚀 How to Navigate Research and Your Ph.D. by Stefan Neumann 📍Room: EI 10 Fritz Paschke 🚀 Towards Neuro-Symbolic AI Applications at Bosch: Opportunities and Challenges by Daria Stepanova 📍Room: EI 7 🚀 AI and War by Hannes Werthner 📍Room: FAV 1 Helmut Veith 💚 Mental well-being, handling stress and pressure by Aljoscha Dreisoerner, Marie Anastacio 📍Room: EI 11 Geodäsie
			15:15-16:30 (Self-arranged) Transfer to WU (Wirtschaftsuniversität Wien) 🧭 📍Address: WU Library and Learning Center, Welthandelsplatz 1
			16:30-18:00 Keynote Talk 🎙 The Limitations of Data, ML and us Ricardo Baeza-Yates (KTH Royal Institute of Technology, Universitat Pompeu Fabra, Universidad de Chile) 📍Lecture Room: Festsaal 1  (WU Library and Learning Center) In cooperation with Digital Humanism Summer School 2026
			18:00 (Note) - 20:00 Networking Event 🤝 (incl. Social Dinner) 🍴 📍Rooms: Festsaal 1 (spotlight talks) Festsaal 2 (company booths) Forum (food and drinks) Presenters

Note: the Networking Event begins with industry spotlight talks which in turn start right after the keynote (thus possibly a few minutes earlier than 18:00).