Arrival: Saturday September 20, 2025
9:00 - 9:50
Lecture 1/3 "History and Principles of Intelligence"
Yi Ma 
9:50 - 10:40
Lecture 1/3 "Learning Low-Dimensional Linear and Independent Structures"
Sam Buchanan 
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 2/3 "Deep Representations via Unrolled Optimization"
Sam Buchanan 
12:10 - 13:00
Lecture 3/3 "Consistent Representations via Autoencoding"
Sam Buchanan 
13:00 - 15:00
Lunch
15:00 - 15:50
Tutorial 1/3 "Pursuing General Low-Dimensional Structures via Denoising"
Druv Pai 
15:50 - 16:40
Tutorial 2/3 "White-Box Deep Network Architectures via Compression and Optimization"
Druv Pai 
16:40 - 17:20
Coffee break
17:20 - 18:10
Tutorial 3/3 "Self-Consistent Representations via Closed-Loop Transcription"
Druv Pai 
18:10 - 19:00
Lecture 2/3 "Pursuing General Low-Dimensional Structures via Compression"
Yi Ma 
19:00 - 19:50
Lecture 3/3 "Future Directions for Machine Intelligence"
Yi Ma 
20:00 -
Dinner
9:00 - 9:50
Lecture 1/3 "The AI-driven Hospital of the Future"
Pierre Baldi 
9:50 - 10:40
Lecture 2/3 "Foundations of Attention Mechanisms and Transformers"
Pierre Baldi 
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 3/3 "AI Safety: Challenges and Solutions"
Pierre Baldi 
12:10 - 13:00
Lecture TBA
Raniero Romagnoli 
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 1/3 “Harnessing Low Dimensionality in Diffusion Models – Generalizability”
Qing Qu 
15:50 - 16:40
Lecture 2/3 “Harnessing Low Dimensionality in Diffusion Models – Controllability”
Qing Qu 
16:40 - 17:20
Lecture 3/3 “Harnessing Low Dimensionality in Diffusion Models – AI For Science”
Qing Qu 
17:20 - 18:10
https://big-files.icas.cc/Sven-Giesselbach-From-LLM-to-Reasoning-Models-IAISS-2025.mp4[/embed]" test=""]Lecture 1/3 "From Large Language Models to Reasoning Models"
Sven Giesselbach 
18:10 - 19:00
https://big-files.icas.cc/Sven-Giesselbach-Multi-Agent-System-IAISS-2025.mp4[/embed]" test=""]Lecture 2/3 "Multi-Agent System"
Sven Giesselbach 
19:00 - 19:50
Free Time
20:00 -
Dinner
9:00 - 9:50
Lecture 1/3 "Foundations of GNN Expressiveness"
Floris Geerts 
9:50 - 10:40
Lecture 2/3 "Beyond Standard GNNs: Increasing Expressiveness"
Floris Geerts 
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 3/3 "Expressiveness of GNNs in Practice"
Floris Geerts 
12:10 - 13:00
Lecture “Introduction to Data Analytics for Networks – a Historical Perspective and Major Advances”
Panos Pardalos 
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture “Embedding Nodes and Whole Graphs: A Statistical View on Learning from Networked Data”
Mario Guarracino 
15:50 - 16:40
Lecture 3/3 "Applications of Foundation Models"
Sven Giesselbach 
16:40 - 17:20
Coffee break
20:00 -
Dinner
9:00 - 9:50
Lecture 1/3 "Fundamental of RL for LLMs"
Michal Valko 
9:50 - 10:40
Lecture 2/3 "RL fine-tuning, then and now"
Michal Valko 
10:40 - 11:20
Lecture 3/3 "Advanced RL fine-tuning and metacognition"
Michal Valko 
11:20 - 12:10
Lecture 1/3 "Self-supervised Learning 1"
Yuki Asano 
12:10 - 13:00
Lecture 2/3 "Self-supervised Learning 2"
Yuki Asano 
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 3/3 "Vision-Language Learning"
Yuki Asano 
15:50 - 16:40
https://big-files.icas.cc/Lucas-Beyer-Transformers-Part-1-IAISS-2025.mp4[/embed]" test=""]Lecture 1/4 "Transformers Part 1"
Lucas Beyer 
16:40 - 17:20
Coffee break
17:20 - 18:10
Lecture 1/3 "From GANs to Diffusion Models for Image Synthesis "
Vicky Kalogeiton 
18:10 - 19:00
Lecture 2/3 "Control and Guidance in Diffusion Models"
Vicky Kalogeiton 
19:00 - 19:50
Lecture 3/3 "Conditional Generation of Multimodal Data "
Vicky Kalogeiton 
20:00 -
Social Dinner
9:00 - 9:50
https://big-files.icas.cc/Lucas-Beyer-Transformers-Part-2-IAISS-2025.mp4[/embed]" test=""]Lecture 2/4 "Transformers Part 2"
Lucas Beyer 
9:50 - 10:40
Lecture 3/4 "Vision and VLMs Part 1"
Lucas Beyer 
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 4/4 "Vision and VLMs Part 2"
Lucas Beyer 
12:10 - 13:00
Lecture 1/3 "SynthID: A Watermark for AI-generated Text"
Abigail See 
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 2/3 "AlphaEvolve: AI for Mathematical and Algorithmic Discoveries"
Abigail See 
15:50 - 16:40
Lecture 3/3 "Large Language Models: History to Present"
Abigail See 
16:40 - 17:20
Lecture 1/3 "Diffusion Models"
Daniel Zügner 
17:20 - 18:10
Lecture 2/3 "Flow Matching"
Daniel Zügner 
18:10 - 19:00
Lecture 3/3 "Generative Models for Molecular Science"
Daniel Zügner 
19:00 - 19:50
Poster Session
20:00 -
Dinner
Departure: Friday September 26, 2025