LTS2 is a team of researchers led by Prof. Pierre Vandergheynst working within the Institute of Electrical Engineering of the EPFL, one of the two Swiss federal institutes of technology.
We develop mathematical and computational foundations for learning on structured domains, including graphs, geometric spaces, physical systems, and scientific data, with applications ranging from molecular biology and materials science to complex dynamical systems.
— Many drug and antibody discovery pathways focus on intricately folded cell membrane proteins. When molecules of a drug candidate bind to these proteins, like a key going into a lock, they trigger chemical cascades that alter cellular behavior. Understanding how proteins fold and move is therefore essential for developing drugs that interact well with their targets.
— Christophe Ballif, director of the Phototovoltaics and Thin Film Electronics Laboratory (PV-Lab) at the Institute of Microengineering in Neuchâtel, was selected for the project, "Ultimative Photovoltaics" along with Stefan Glunz of the Albert Ludwigs University Freiburg (Germany) and Stéphane Collin of the National Center for Scientific Research (CNRS) (France). Pierre Vandergheynst, head of the Signal Processing Laboratory (LTS2), was selected for the project, "Generative machine learning for combined process control and materials design" along with Cyril Aymonier of the National Center for Scientific Research (CNRS) (France) and Gian-Marco Rignagnese of the Catholic University of Louvain (Belgium).
— In the parable of the blind men and the elephant, several blind men each describe a different part of an elephant they are touching – a sharp tusk, a flexible trunk, or a broad leg – and disagree about the animal’s true nature. The story illustrates the problem of understanding an unseen, or latent object based on incomplete individual perceptions. Likewise, when researchers study brain dynamics based on recordings of a limited number of neurons, they must infer the latent patterns of brain dynamics that generate these recordings.
