Pascal Frossard
EPFL STI IEL LTS4
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Office: ELE 241
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Doctorant·es actuel·les
Athanasios Charisoudis, Nikolaos Dimitriadis, Alba Carballo Castro, Cem Bilaloglu, Elisa Messori, Adam Hazimeh, Ke Wang, Ortal Yona Senouf, Haolin Chen, Vincent Jung, William Cappelletti, Yiming Qin, Sevda Ögüt, Manuel Monteiro Lança Madeira, Mahdi Amiri, Abdellah Rahmani, Alessandro Favero
A dirigé les thèses EPFL de
Mattia Rossi, Hermina Petric Maretic, Apostolos Modas, Zafer Arican, Clément Arthur Yvon Vignac, Stefano D'Aronco, Yamin Sepehri, Ana Karina De Abreu Goes, Jean-Paul Wagner, Sofia Karygianni, Effrosyni Kokiopoulou, Elif Vural, Effrosyni Simou, Clémentine Léa Aguet, Luigi Bagnato, Alhussein Fawzi, Ahmet Caner Yüzügüler, Tamara Tosic, Ntorina Thanou, Guillermo Ortiz Jimenez, Eirina Bourtsoulatze, Ádám Dániel Ivánkay, Seyed Mohsen Moosavi Dezfooli, Isabela Cunha Maia Nobre, Beril Besbinar, Vijayaraghavan Thirumalai, Jelena Simeunovic, Arnaud Pannatier, Javier Alejandro Maroto Morales, Suraj Srinivas, Angelos Katharopoulos, Harshitha Machiraju, Xiaowen Dong, Renata Khasanova, Ivana Tosic
Cours
EECS Seminar: Advanced Topics in Machine Learning
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
Fundamentals, methods, algorithms and applications of network machine learning