Organising Committee
Date:
Moderator of a panel of experts, “Future of ML For Space: Challenges, Needs and Expectations”, to discuss the role of ML in the future of the space sector.
Presenter in the session “Rising Stars in Machine Learning for Space” with the works: “Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models” and “Statistical Learning of Conjunction Data Messages Through a Bayesian Non-Homogeneous Poisson Process”.
🔗 Check the event details here