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Special Talk by Christian Horvat: Density Estimation on Low-Dimensional Manifolds, March 15
On Wednesday, March 15, 10:30am, Christian Horvat (University of Bern) will give a talk on “Density estimation on low-dimensional manifolds”. Learning from low-dimensional data is a highly relevant topic in STRUCTURES' Comprehensive Project CP6 (“Networks and Machine Learning”), as natural data often exists as high-dimensional data points that can be described by a significantly smaller number of factors. These need to be identified and their distribution learned, which is the topic of Christian Horvat's public lecture on Wednesday.
The talk will be streamed via Teams: Meeting Link.