ELLIS Distinguished Lecture: Philipp Hennig
Probabilistic Numerics: the rigid skeleton for AI-centric science on September 9, 2026
ELLIS Distinguished Lectures
ELLIS Distinguished Lectures showcase cutting-edge artificial intelligence research from top scientists in the field.
Upcoming lectures
Videos of select past talks can be found on YouTube →
Past lectures
ELLIS Distinguished Lecture: YingLi Tian
Compressing Complexity: Knowledge Distillation and Model Quantization for Efficient and Accessible AI on August 20, 2026
ELLIS Distinguished Lecture: Bernhard Schölkopf
From language models to causal world models: A tale of spurious correlations on June 10, 2026
ELLIS Distinguished Lecture: Masashi Sugiyama
Machine Learning from Imperfect Information: Foundations of Robust Intelligence in the Era of Foundation Models on May 11, 2026
ELLIS Distinguished Lecture: Hatice Gunes
Fairness for Affective and Wellbeing Computing Systems and Agents on February 17, 2026
Stefan Feuerriegel: Causal ML for learning treatment effects over time (external link)
ELLIS Distinguished Lecture
Serge Belongie: Searching for Structure in Unfalsifiable Claims (external link)
ELLIS Distinguished Lecture
Bernhard Schölkopf: Symbolic, Statistical and Causal AI (external link)
ELLIS Distinguished Lecture
Borja Balle: Privacy in Image Classification Models: Informed Attacks and Practical Defenses (external link)
ELLIS Distinguished Lecture
Matthew E. Taylor: Human and agent cooperative learning (external link)
ELLIS Distinguished Lecture