Prof. Hoffmann will talk about the dynamics of interactions between algorithms and a population. In the second talk, Prof. Hoos will discuss the robustness of neural networks and its verification.
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MDSI Core Member Prof. Reinhard Heckel is working on methods that enable the storage of digital information securely and efficiently on DNA sequences. DNA is interesting for information processing as…
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Niki Kilbertus is going to talk about distinguishing causal relationships from mere associations, formalizing this difference, estimating causal relationships from observational data using the…
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Deep neural networks have led to breakthrough results in numerous practical machine learning tasks. In this lecture, we will attempt a journey through the mathematical universe behind these practical…
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The Digitizing Materials (DigiMat) workshop, hosted by the Atomistic Modelling Center (AMC), the Munich Data Science Institute (MDSI) and the Excellence Cluster e-conversion, will take place on…
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The next CAUSE Double-Header Seminar features the talks "On optimal treatment regimes assisted by algorithms" and "Scaling Causal Inference with Deep Learning and Foundation Models".
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At the TUM Talk on the Campus Heilbronn, representatives from science and business will discuss the role of confidence, entrepreneurial visions and thought leaders. The series of events aims to offer…
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Dr. Alfred Spector, Visiting Scholar at MIT and Senior Advisor at Blackstone, and former CTO and Vicepresident at Two Sigma Investments, Google and IBM, is visiting MDSI to give a talk on applying…
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Would you like to manage your research data (more) efficiently? Then join our workshop on Research Data Management for Science and Engineering on October 22, 2024.
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