September 17, 2025 3:30 PM CEST
Live on Google Meet.
On 17 September at 15:30 CEST, the ESA Φ-Lab Collaborative Innovation Network will host a new technical seminar. Details are below.
Meet the speaker
Jan N. van Rijn holds a tenured position as assistant professor at Leiden University, where he co-leads the Automated Design of Algorithms group (ADA) within the Leiden Institute of Advanced Computer Science (LIACS). He researches and develops methods and evaluation methodologies that democratise the use of artificial intelligence.
Talk abstract
Earth observation models have to adhere to many requirements. Beyond the need to be accurate and small enough to be deployed on satellite hardware, they need to be robust against various types of domain shifts. Automated machine learning has been successful in supporting data scientists in selecting appropriate machine learning architectures, as well as optimising hyperparameters. By doing so, data scientists can focus their attention on more important tasks.
During the Horizon TAILOR project, with which ESA also informally collaborated, we have seen a demand for AutoML techniques to not only provide solutions that are accurate but also those that are trustworthy according to several relevant criteria. Many models are known to be vulnerable to various types of input perturbations, whereas robustness against such deviations is an important criterion of trustworthiness.
In this talk, I will summarise various projects we have done through the TAILOR project, which envision AutoML solutions that specifically address the robustness of neural networks, but also include what hyperparameters are important to tune.
Register now!