Learning Physical Laws from Data | Prof. Sven Wang, HU Berlin | BLISS e.V.

We are excited to feature Prof. Sven Wang, Professor at HU Berlin, who will discuss Learning Physical Laws from Data, lasting approximately 45 minutes.
📚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).
🎥 Watch to Discover:
Dimension-Free Convergence
Computational Challenges in Bayesian Inference
Generative AI Foundations
Recorded on Jan.. 21, 2025 at TU Berlin, Berlin.
About BLISS e.V.:
We are a vibrant student organization in Berlin, fostering a community passionate about machine learning and AI. Join us this winter semester (2024/25) for an exciting lineup of talks featuring leading researchers from TU Berlin, HU Berlin, FU Berlin, Mantis Analytics, InstaDeep, SakanaAI, University of Potsdam, and University of Magdeburg. We also host:
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🔗 Event Links:
Talk-specific Meetup: www.meetup.com...
Slides: drive.google.c...
Sven Wang`s Google Scholar: scholar.google...
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[@duchoang1759]

Amazing Talk!

[@ceas9472]

32:09 I really liked his theoretical insights like for example this convergence guarantee theorem which he stated.

[@LOLOINVASION]

Yeah sven really nailed it.
Already looking forward to the next episode. Can't wait😤😤