Program

– Lourdes Agapito – Learning 3D representations of shape and deformations from images and video

– Stephanie Allassonière – Geometry-aware variational autoencoders for medical data augmentation

– Alex Cristia – Reverse-engineering language acquisition

– Andrew Davison – From SLAM to spatial AI

– Pascale Fung – Deeper conversational AI

– Arthur Gretton – Probability divergences and generative models

– Hannah Kerner, Catherine Nakalembe – Enhancing global food security with machine learning and Earth observations

– Yann LeCun – Self-supervised learning and energy-based models

– Cordelia Schmid – Learning multimodal video representations

– Jean-Philippe Vert – Machine learning against cancer

In addition to these live lectures we will be organizing several social activities restricted to our attendees. They will take place in Gathertown, during the 5 social breaks:

• Meet-the-speaker informal discussions with the speakers of the day
• Poster sessions for the attendees to present their work
• Discussions with social guests, i.e., academics/researchers in AI who will answer questions about a topic of their choice.

 

Social guests for 2021 include: Yannis Avrithis (Inria), Cécile Boulard (Naver Labs Europe), Gabriela Csurka (Naver Labs Europe), Dima Damen (University of Bristol), Kosta Derpanis (York University/Samsung AI Centre Toronto), Mohamed Elhoseiny (KAUST), Hady Elsahar (Naver Labs Europe), Elisa Fromont (Université Rennes 1/IRISA/Inria), Adrien Gaidon (Toyota Research Institute), Efstratios Gavves (University of Amsterdam), Xavier Giro-i-Nieto (UPC Barcelona), Fatma Guney (Koc University), Torsten Sattler (Czech Technical University in Prague), Marie Sacksick (CybelAngel), Stavros Tsogkas (Samsung), Gul Varol (Ecole des Ponts ParisTech).

Attendees will also have access to Gathertown break rooms, a job board, and different discussion channels in Slack.