Machine learning

The goal of our group is the development of new statistical learning techniques mainly for computer vision, with a particular interest in their computational properties.

Our application domains include object detection and scene analysis, tracking of people and biological structures, and image recognition in general.

Group News

Understanding neural networks for better collaborations with AI

research — Apr 09, 2024

Understanding and explaining how AI works is key to build trust and have better human-AI collaborations. In partnership with researchers from Lausanne, Zurich, and Adelaide, our colleague Damien Teney published an article providing a fresh explanation of neural networks’ capabilities.

Damien Teney receives an Amazon Research Award

research — last modified Feb 14, 2023

The last cycle of Amazon Research Awards announced 26 awards recipients. Among them, Damien Teney was selected for his project to improve machine learning models.

Idiaper wins EPFL's EEDE Thesis Award

education — Nov 23, 2022

Former Idiap PhD Angelos Katharopoulos has received EPFL's Electrical Engineering Doctoral program (EEDE) Thesis Award for his outstanding research on the efficiency of deep learning models.

Idiap is looking for its next director

institute — Jan 14, 2022

Idiap Research Institute and the School of Engineering at EPFL invite applications for the directorship of Idiap. The successful candidate will also hold a faculty position as full professor at EPFL School of Engineering.

Two Idiap PhD students awarded with an EPFL prize

education — last modified Dec 21, 2021

Suraj Srinivas and Weipeng He received the 2021 PhD Thesis Distinction in Electrical Engineering by the EPFL.

More News

Group Job Openings

Our group is regularly posting job openings ranging from internships to researcher positions. To check the opportunities currently available or to submit a speculative applications use the link below.Our group is regularly posting job openings ranging from internships to researcher positions. To check the opportunities currently available or to submit a speculative applications use the link below.