#14: Learning Physical Laws from Data by Prof. Sven Wang

Join our free BLISS Speaker Series!

We are excited to feature Prof. Sven Wang, Professor at HU Berlin, who will discuss Learning Physical Laws from Data, lasting approximately 45 minutes. After the talk, seize the opportunity to connect with fellow AI enthusiasts to share ideas and questions while enjoying free drinks. Door close by 7.15pm, so please come early! Also, "attend"ing (RSVP) here on Meetup is strictly necessary to be guaranteed entry.

Abstract:
Many data collection processes in natural scientific settings are described by partial differential equations (PDEs) and stochastic differential equations (SDEs). In these settings, key statistical tasks such as the estimation of unknown high-dimensional parameters, prediction and uncertainty quantification have given rise to sophisticated frequentist and Bayesian statistical methodology. Recently, "Scientific Machine Learning" has also played a big role in inferring complex relationships from data. In this talk, we discuss recent mathematical results in this broad context. In particular, we discuss dimension-free statistical convergence results for regression of "operators" with neural networks, and we discuss the computational complexity of sampling from high-dimensional posterior distributions. If time permits, we will also discuss some mathematical foundations for PDE and SDE-based generative AI models.

About the Speaker:
Prof. Sven Wang is an assistant professor for Mathematical Statistics and Stochastics at the Humboldt University of Berlin. He previously studied mathematics at LMU Munich and Cambridge University and holds a PhD in Mathematical Statistics from Cambridge University. Before he started his position as an assistant professor here in Berlin, he spent two years as a PostDoc at the Massachusetts Institute of Technology (MIT).

About us:
We are BLISS e.V., a student organisation in Berlin that connects like-minded individuals who share great interest and passion for the field of machine learning. This winter semester (2024/25), we will again host an exciting speaker series on site in Berlin, featuring excellent researchers from TU Berlin, Mantis Analytics, HU Berlin, InstaDeep, FU Berlin, SakanaAI, University of Potsdam and University of Magdeburg. Besides, we also have a weekly reading group and biweekly community events!

Website: https://bliss.berlin
Youtube: https://www.youtube.com/@bliss.ev.berlin

Disclaimer: By attending this event you agree to be photographed.