Lecture Slides
Afra Alishahi: Grounded Language Learning, from Sounds & Images to Meaning (and everything in between) (pdf)
Francis Bach: Large Scale Machine Learning Over Networks (pdf)
Alejandrina Cristià: Baby steps to language (pdf)
Alexei Efros: Self-Supervised Visual Learning and Synthesis (pdf)
Vipin Kumar: Big Data in Climate and Earth Sciences: Opportunities and Challenges in Machine Learning (pptx)
Jean-Paul Laumond: Mathematical foundations of robot motion (pptx)
Yann LeCun: Self-Supervised Learning (pdf)
Stéphane Mallat: Interpretable Deep Neural Networks (pdf)
Neils Peek: Predictive Analytics for Health and Care (pdf)
Patrick Pérez: Autonomous Driving and Sustainable Supervision (pdf)
Lenka Zdeborová: What has statistical physics to say about machine learning? (pdf)