EPFL STI IEM LIDIAP
ELD 241 (Bâtiment ELD)
Web site: Web site: https://idiap.epfl.ch/
Teaching & PhD
Electrical and Electronics Engineering
PhD StudentsBittar Alexandre Samuel Philippe, Boghetti Roberto, Délitroz Maxime, Fritsch Julian David, Girgin Hakan, Gupta Anshul, Hermann Enno, Messori Elisa, Ramírez Atrio Alejandro, Sarkar Eklavya, Tafasca Samy, Tarigopula Neha, Vuillecard Pierre François Marie,
Past EPFL PhD StudentsBa Silèye Oumar , Can Gülcan , Da Silva Quelhas Pedro Manuel , Funes Mora Kenneth Alberto , He Weipeng , Heili Alexandre , Jaques Christian , Kulak Thibaut Antoine , Lathoud Guillaume , Le Do Hoang Nam , Lembono Teguh Santoso , Mariani Olivia , Martinez Gonzalez Angel Noe , Roman Rangel Edgar , Sheikhi Samira , Siegfried Rémy Alain , Varadarajan Jagannadan , Yu Yu ,
Machine Learning for Engineers
The objective of this course is to give an overview of machine learning techniques used for real-world applications, and to teach how to implement and use them in practice. Laboratories will be done in python using jupyter notebooks.
Perception and learning from multimodal sensors
The course will cover different aspects of multimodal processing (complementarity vs redundancy; alignment and synchrony; fusion), with an emphasis on the analysis of people, behaviors and interactions from multimodal sensor, using statistical models and deep learning as main modeling tools.