Get to know your neighbors Each seminar allows one of our professors from EPFL to give an overview of her/his current research and interests. Please note that this seminar is geared towards an EPFL audience. Jamie Paik © Alain Herzog Upcoming events in 2023 Maria Brbic Jan. 30, 2023 Mats Stensrud Feb. 27, 2023 Alex Persat Date TBC Prof. Bart Deplancke March 6, 2023 Prof. Anne-Clémence Corminboeuf Date TBC Past 2022 Prof. Pascal Fua Deep Surface Meshes Prof. Alexander Mathis Multi-individual pose estimation, identification and tracking Prof. Touradj Ebrahimi JPEG AI: The next generation of learning based image compression Prof. Kathryn Hess The case for diversifying your mathematical toolbox Prof. Jean-Philippe Thiran Microstructure imaging by diffusion MRI: modeling, simulation, machine learning, application to brain imaging and more Prof. Antoine Bosselut Neuro-symbolic Scaffolds for Commonsense Representation and Reasoning Prof. Edoardo Charbon Photon counting cameras for quantum imaging applications Prof. Josie Hughes Improving Robot Design: Data-Driven Approaches to Design & Fabrication Prof. Matteo Dal Peraro From Integrative Structural Biology to Bioengineering Prof. Maryam Kamgarpour Learning for safety and coordination in uncertain dynamical systems Prof. Olga Fink “Domain adaptation and hybrid algorithms fusing physics-based…” Prof. Philippe Schwaller Accelerating Chemical Synthesis with Transformers Prof. Paolo De Los Rios Exploring the sequence landscape space of proteins Prof. Paolo Ricci and Dr. Alessandro Pau Can artificial intelligence and machine learning… Prof. Tanja Kaeser Machine Learning to Understand and Improve Human Learning Prof. Stefana Parascho The Robot in the Loop: On Multi-Agent Construction Approaches Prof. Gabriele Manoli On trees and cities 2021 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 2020 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 Contact If you have any questions please contact: [email protected] If you have a suggestion for a future speaker or would like to take part in the CIS Get To Know Your Neighbors seminar series as a speaker, please fill out the Speaker Suggestion Form.