Full Program

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

17:20 - 18:10
Lecture 1/3 "Introduction to Graph Neural Networks"   
Thomas Kipf

18:10 - 19:00
Lecture 2/3 "Graph Neural Networks for Physical Simulation"   
Thomas Kipf

19:00 - 19:50
Lecture 3/3 "Compositional World Models"   
Thomas Kipf

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

IAISS-2025-Schedule