DAY 0 – MONDAY, 27 MAY 2019

Advances in fundamental AI/ML research

*Invitation only

A limited number of seats is available for the audience of this math-heavy, expert-level workshop. If you are interested in participating, please send an email to ai@itu.int. You need to be a knowledgeable and active researcher in the field. Please submit a short justification.

Organized by:

Klaus-Robert Müller, Professor, Machine Learning Group, TU Berlin

09:00 – 10:45 – Part 1 of 4

Speakers:

Recent Advances in Weakly-Supervised and Robust Machine Learning

  • Masashi Sugiyama, Professor, Complexity Science and Engineering, University of Tokyo; Director RIKEN Center for Advanced Intelligence Project

Connectomics: AI for large-scale brain circuit reconstruction

  • Moritz Helmstaedter, Director, Max Planck Institute for Brain Research, Frankfurt

Automatic Understanding of the Visual World

  • Cordelia Schmid, INRIA Research Director

10:45 – 11:15–Coffee break

11:15 – 12:30– Part 2 of 4

Speakers:

Graph Representation Learning: Algorithms, Applications, and Systems

  • Jian Tang, Assistant Professor at HEC Montreal and Montreal Institute for Learning Algorithms (MILA)

Synergies between physics and machine learning from the atomistic modeling perspective

  • Alex Tkatchenko, Professor and Head of Theoretical Chemical Physics Group, University of Luxembourg

12:30 – 14:00 –Lunch break

14:00 – 15:45 – Part 3 of 4

Speakers:

Learning with prior knowledge

  • Klaus-Robert Müller, Professor, Machine Learning Group, TU Berlin

Reward Redistribution to Speed Up Reinforcement Learning

  • Sepp Hochreiter, Computer Scientist and head of Institute of Machine Learning, Johannes Kepler University of Linz

On the Global Convergence of Gradient Descent for Over-parameterized Models

  • Francis Bach, Research faculty at INRIA – ENS

15:45 – 16:15–Coffee break

16:15- 17:30 – Part 4 of 4

Speakers:

Intriguing results from two experiments on representation learning

  • Samy Bengio, Research scientist, Google Brain Team

Robust Generalization

  • Matthias Bethge, Professor, University of Tuebingen ; Co-founder of Layer7 AI

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