Idiap’s Awards go to Noémie Jaquier and Angelos Katharopoulos
Noémie Jaquier received the Student Award of Idiap. Her work focuses on extending learning and control methods in robotics to take into account the structure and geometry of the data, by exploiting Riemannian manifolds and tensor methods. She started her PhD in August 2016 and she will submit her thesis in June 2020. Her work attracted attention outside the field of robotics. This year, she made a 6 months internship at the Bosch Center for Artificial Intelligence (BCAI) in Renningen, Germany, she gave 9 invited talks. She also excels at supervising students.
Angelos Katharopoulos received the Paper Award of Idiap. He published a paper at ICML this year on using an attention-sampling mechanism to handle very large signal size. This has a fantastic potential in the field, since memory footprint and computational cost is the main bottleneck to deal with giga-pixel signals as generated in microscopy, astronomy, or high-energy physics.
A. Katharopoulos and F. Fleuret. Processing Megapixel Images with Deep Attention-Sampling Models. In Proceedings of the International Conference on Machine Learning (ICML), pages 3282–3291, 2019.
More information
- List of Idiap’s awards
- Noémie Jaquier web page
- Angelos Katharopoulos web page
- Angelos Katharopoulos’ paper