The ML-DE Workshop on Machine Learning Meets Differential Equations: From Theory to Applications, co-located with the leading european conference in AI, is designed to spotlight the dynamic interplay between Machine Learning (ML) and Differential Equations (DE). This workshop aims to delve into how DEs, foundational in modelling complex systems across various domains, can be ingeniously coupled with ML to unlock new potentials, from enhancing prediction accuracies to fostering advancements in explainable AI. It is motivated by the emerging need to transcend traditional boundaries, leveraging the predictive power of ML to tackle DE-driven challenges in novel ways. Participants will explore the integration of DEs into ML architectures, the application of ML in solving intricate DE problems, and the potential of these convergences to revolutionize fields as diverse as physics, biology, and beyond.

For more information visit https://mlde-ecai-2024.github.io/