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Pascal Frossard

EPFL STI IEL LTS4
ELE 241 (Bâtiment ELE)
Station 11
1015 Lausanne

Teaching & PhD

Current Phd

Yiming Qin, Alba Carballo Castro, Elisa Messori, Ke Wang, Sevda Ögüt, Tuna Alikasifoglu, William Cappelletti, Manuel Madeira, Mahdi Amiri, Ortal Yona Senouf, Vasiliki Rizou, Nikolaos Dimitriadis, Cem Bilaloglu, Abdellah Rahmani, Amel Abdelraheem, Jérémy Jean Philippe Baffou, Adam Hazimeh, Vincent Jung

Past Phd As Director

Dan Jurca, Jean-Paul Wagner, Ivana Radulovic, Ivana Tosic, Effrosyni Kokiopoulou, Zafer Arican, Vijayaraghavan Thirumalai, Tamara Tosic, Eirina Bourtsoulatze, Elif Vural, Xiaowen Dong, Sofia Karygianni, Ana Karina De Abreu Goes, Dorina Thanou, Alhussein Fawzi, Stefano D'Aronco, Seyed Mohsen Moosavi Dezfooli, Renata Khasanova, Mattia Rossi, Hermina Petric Maretic, Effrosyni Simou, Beril Besbinar, Isabela Cunha Maia Nobre, Apostolos Modas, Clémentine Léa Aguet, Ahmet Caner Yüzügüler, Clément Vignac, Guillermo Ortiz Jimenez, Ádám Dániel Ivánkay, Arnaud Pannatier, Yamin Sepehri, Javier Alejandro Maroto Morales, Jelena Simeunovic, Haolin Chen

Past Phd As Codirector

Luigi Bagnato, Suraj Srinivas, Angelos Katharopoulos, Ahmet Caner Yüzügüler, Guillermo Ortiz Jimenez, Harshitha Machiraju, Alessandro Favero

Courses

EECS Seminar: Advanced Topics in Machine Learning

ENG-704

Students learn about advanced topics in machine learning, artificial intelligence, optimization, and data science. Students also learn to interact with scientific work, analyze and understand strengths and weaknesses of scientific arguments of both theoretical and experimental results.

Network machine learning

EE-452

Fundamentals, methods, algorithms and applications of network machine learning and graph neural networks

Signal processing

EE-350

In this course, we introduce the main methods in signal processing.