ACDL 2026 Program: ACDL-2026-Program
Arrival: Sunday June 7, 2026
9:00 - 9:50
Lecture 1/2 "Causal Effect Estimation with Context and Confounders (Part 1 )"
Arthur Gretton 
9:50 - 10:40
Lecture 1/4 "Self-Improving Language Models Part 1"
Jason Weston 
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 1/3 "Lightspeed RL Fine Tuning for LLMs"
Michal Valko 
12:10 - 13:00
Lecture 2/2 "Causal Effect Estimation with Context and Confounders (Part 2)"
Arthur Gretton
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 2/3 "Online and Offline RL Considerations for LLMs "
Michal Valko
15:50 - 16:40
Lecture 2/4 "Self-Improving Language Models Part 2"
Jason Weston
16:40 - 17:20
Coffee break
17:20 - 18:10
Lecture 3/3 "New Advances on the Theory of Language Generation and Hallucination"
Michal Valko
18:10 - 19:00
Tutorial "When Classical Meets Generative: Mixed Methods for Practical LLM Evaluation - Part 1”
Salvatore Ricciardi
Simone Scaboro
Beatrice Turano
20:00 -
Dinner
9:00 - 9:50
Lecture 1/3 "Mathematical Introduction to Stochastic Gradient Descent Optimization"
Arnulf Jentzen 
9:50 - 10:40
"A New Frontier: From a Single Network to a Network of Networks"
Panos Pardalos 
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 3/4 "Self-Improving Agents"
Jason Weston
12:10 - 13:00
Lecture 2/3 "Error Analyses for Adam and further Accelerated and Adaptive Optimizers"
Arnulf Jentzen
13:00 - 15:00
Lunch
15:00 - 20:00
Free time
20:00 -
Dinner
9:00 - 9:50
Lecture 4/4 " The future of Self-Improvement & the promise of Co-Improving AI"
Jason Weston
9:50 - 10:40
Lecture 1/3 "Foundations of World Models"
Katja Hofmann 
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 3/3 "Deep Learning for High-Dimensional Partial Differential Equations"
Arnulf Jentzen
12:10 - 13:00
Lecture 2/3 "Building a World Simulator"
Katja Hofmann
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 3/3 "Open Challenges and Future Directions"
Katja Hofmann
15:50 - 16:40
Lecture 1/3 "A Short Journey through Graph Embedding Techniques Part 1"
Mario R. Guarracino 
16:40 - 17:20
Coffee break
17:20 - 18:10
Lecture 2/3 "A Short Journey through Graph Embedding Techniques Part 2"
Mario R. Guarracino
18:10 - 19:00
Tutorial "When Classical Meets Generative: Mixed Methods for Practical LLM Evaluation - Part 2”
Salvatore Ricciardi
Simone Scaboro
Beatrice Turano
20:00 -
Dinner
9:00 - 13:00
Free time
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 1/3 " Transformers & Vision Transformers"
Lucas Beyer 
15:50 - 16:40
Lecture "Building Enterprise AI Applications in Sovereign AI Ecosystem"
Raniero Romagnoli 
16:40 - 17:20
Coffee break
17:20 - 18:10
Lecture 3/3 "Graph Representation Learning for Agentic AI"
Mario R. Guarracino
18:10 - 19:00
Lecture 1/3 "Large Vision Language models: Foundations I"
Sagar Vaze 
20:00 -
Dinner
9:00 - 9:50
Lecture 2/3 " Transformers & Vision Transformers"
Lucas Beyer
9:50 - 10:40
Lecture "Multitask Deep Learning"
Giuseppe Di Fatta 
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 2/3 "Large Vision Language models: Foundations II"
Sagar Vaze
12:10 - 13:00
Lecture 3/3 "Large Vision Language models: Open Questions"
Sagar Vaze
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 3/3 " Transformers & Vision Transformers"
Lucas Beyer
15:50 - 16:40
Oral Presentations
16:40 - 19:00
Poster Session
20:00 -
Social Dinner
Departure: Saturday June 13, 2026
