Concept
Vanishing gradient problem
Personnes associées (30)
Nicolas Henri Bernard Flammarion
Nicolas Flammarion is a tenure-track assistant professor in computer science at EPFL. Prior to that, he was a postdoctoral fellow at UC Berkeley, hosted by Michael I. Jordan. He received his PhD in 2017 from Ecole Normale Superieure in Paris, where he was advised by Alexandre d’Aspremont and Francis Bach. In 2018 he received the prize of the Fondation Mathematique Jacques Hadamard for the best PhD thesis in the field of optimization. His research focuses primarily on learning problems at the interface of machine learning, statistics and optimization.
Lenka Zdeborová
Lenka Zdeborová is a Professor of Physics and of Computer Science in École Polytechnique Fédérale de Lausanne where she leads the Statistical Physics of Computation Laboratory. She received a PhD in physics from University Paris-Sud and from Charles University in Prague in 2008. She spent two years in the Los Alamos National Laboratory as the Director's Postdoctoral Fellow. Between 2010 and 2020 she was a researcher at CNRS working in the Institute of Theoretical Physics in CEA Saclay, France. In 2014, she was awarded the CNRS bronze medal, in 2016 Philippe Meyer prize in theoretical physics and an ERC Starting Grant, in 2018 the Irène Joliot-Curie prize, in 2021 the Gibbs lectureship of AMS. She is an editorial board member for Journal of Physics A, Physical Review E, Physical Review X, SIMODS, Machine Learning: Science and Technology, and Information and Inference. Lenka's expertise is in applications of concepts from statistical physics, such as advanced mean field methods, replica method and related message-passing algorithms, to problems in machine learning, signal processing, inference and optimization. She enjoys erasing the boundaries between theoretical physics, mathematics and computer science.
Martin Jaggi
Martin Jaggi is a Tenure Track Assistant Professor at EPFL, heading the Machine Learning and Optimization Laboratory. Before that, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, and at École Polytechnique in Paris. He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich.
Fernando Porté Agel
FERNANDO PORTÉ AGEL Professor Director, Wind Engineering and Renewable Energy Laboratory (WIRE) School of Architecture, Civil and Environmental Engineering (ENAC) École Polytechnique Fédérale de Lausanne (EPFL) e-mail: fernando.porte-agel@epfl.ch RESEARCH INTERESTS Environmental fluid mechanics. Computational fluid dynamics. Atmospheric boundary layers. Turbulence. Large-eddy simulation. Wind energy. Wind engineering. Renewable energy. EDUCATION Ph.D. 1999 Johns Hopkins University, Environmental Engineering M.Sc. 1995 Hydrologic Engineering, IHE - Delft, The Netherlands B.S. 1992 Universidad Politécnica de Cataluña, Spain ACADEMIC POSITIONS 2010-present: Full Professor, School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Switzerland 2005-2009: Associate Professor, St. Anthony Falls Laboratory and Department of Civil Engineering, University of Minnesota, Minneapolis, MN, USA 2000-2005: Assistant Professor, St. Anthony Falls Laboratory, Department of Civil Engineering, University of Minnesota, Minneapolis, MN, USA AWARDS AND FELLOWSHIPS McKnight Presidential Fellow (2006-2009), University of Minnesota, USA McKnight Land-Grant Professorship (2003-2005), University of Minnesota, USA NASA Young Investigator Award (2001-2004), USA NSF CAREER Award (2001-2006), (Division of Earth Sciences Hydrological Sciences), USA Outstanding Student Paper Award: Hydrology Section, Fall Meeting of the American Geophysical Union; San Francisco, 1998. Research Award (1995-1997): La Caixa fellowship program; Barcelona, Spain. Research Award (1993-1995): Dutch Ministry of Foreign Affairs fellowship. Research Award (1990-1993): Spanish Civil Engineering Association.
Colin Neil Jones
Colin Jones is an Associate Professor in the Automatic Control Laboratory at the Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland. He was a Senior Researcher at the Automatic Control Lab at ETH Zurich until 2011 and obtained a PhD in 2005 from the University of Cambridge for his work on polyhedral computational methods for constrained control. Prior to that, he was at the University of British Columbia in Canada, where he took a BASc and MASc in Electrical Engineering and Mathematics. Colin has worked in a variety of industrial roles, ranging from commercial building control to the development of custom optimization tools focusing on retail human resource scheduling. His current research interests are in the theory and computation of predictive control and optimization, and their application to green energy generation, distribution and management.