Get to know your neighbors

Prof. Alexander Mathis

Multi-individual pose estimation, identification and tracking | Jan. 31, 2022

Prof. Touradj Ebrahimi

Feb. 7, 2022

Prof. Kathryn Hess

Feb. 28, 2022

Prof. Jean-Philippe Thiran

March 7, 2022

Prof. Antoine Bosselut

28 March, 2022

Prof. Edoardo Charbon

April 11, 2022

Prof. Josie Hughes

May 2, 2022

Prof. Matteo Dal Peraro

May 30, 2022

Prof. Pascal Fua

Deep Surface Meshes

Prof. Giuseppe Carleo

Machine learning in quantum science and quantum computing

Prof. Bruno Correia

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

Prof. Nicolas Boumal

Geometry and symmetry in non-convex optimization

Prof. Sahand Jamal Rahi

Using neural networks to analyze microscopy images

Prof. Devis Tuia

Machine learning on the Earth system with remote sensing

Prof. Jürg Schiffmann

Steps towards automated design

Prof. John Maddocks

DNA and Big Data

Prof. Marcel Salathé

Crowdsourcing ML + Applied Machine Learning Days (AMLD)

Prof. Pavan Ramdya

Reverse-engineering Drosophila movement control toward applications in robotics

Prof. Jean-Pierre Hubaux

Sharing without Sharing – Secure and Privacy-Conscious Federated Analytics

Prof. Semyon Malamud

The Economy as a Complex (Intelligent?) System: Using Mathematics and Data Science to Understand (and Improve) the World we Live in

Prof. Michel Herzog

Do we really measure what we believe we are measuring?

Prof. Mark Pauly

Towards Intelligent Material Systems

Prof. Sofia Olhede & Prof. Amir Zamir

Prof. Martin Jaggi & Prof. Negar Kiyavash

Prof. Michele Ceriotti

Physics-inspired machine learning for materials discovery

Prof. Jamie Paik

The hard challenges in soft robotics

Prof. Alexandre Alahi

Socially aware AI for last-mile mobility

Prof. Simone Deparis

Modeling and simulation of vascular flows: Reduced order modeling and physics based neural network

Prof. Lenka Zdeborova

Insights on gradient-based algorithms in high-dimensional non-convex learning

Dr. Pascal Mieville

AI for chemistry ?

Prof. Frédéric Courbin

Intelligent systems for astrophysics and cosmology

Prof. Mackenzie Mathis

Using mice and machine learning to understand cortical contributions to forelimb motor adaptation