Invitation to the SDSC PhD fellow’s workshop

In 2019, the Swiss Data Science Center (SDSC) awarded fellowships to ten PhD students working on various aspects of data science theory and methods at EPFL and ETH Zürich, from statistics to computer vision, including machine learning, statistical signal processing, and natural language processing.

We are pleased to organize a workshop providing a forum of exchange on methods in data science and an opportunity for five of these fellows to present their work in person.

We would also like to like to invite any EPFL PhD students and postdocs working in various areas of methods of data science to present a poster in the afternoon poster session (registration is necessary). 

On that occasion, we will be happy to communicate the new list of PhD students who received the same SDSC fellowship in 2022.

Please note that registration is mandatory for this event. 

Program:
10:45 - Foreword and session opening – Dr. Guillaume Obozinski, Deputy Chief Data Scientist, SDSC

11:00 - Fabian Latorre, LIONS, EPFL. Finding actual descent directions in Adversarial Training

11:40 - Stephan Ihle, LBB, ETH Zürich. Reinforcement Learning to control spiking behavior of Biological Neuronal Networks 

12:30 - Break

13:30 - Clément Vignac, LTS4, EPFL. Discrete denoising diffusion models for graph generation

14:10 - Poster session and coffee break – BC Forum (ground floor)

15:20 - Xiaying Wang, ISL, ETH Zürich. Near-Sensor Analytics and Machine Learning for Long-Term Wearable Biomedical Systems

16:00 - Jean-Baptiste Cordonnier, MLO, EPFL.  Differentiable Patch Selection for Image Recognition

16:45 - Closing words