The London Geometry and Machine Learning Summer School 2021 was held 12-16 July online. The week boasted 20 projects, each undertaken by a small group of participants under the guidance of an experienced mentor. There were also 12 talks on geometry and/or machine learning from some of the leading figures in the field, a variety of social events, and a company networking night.
Talks of speakers who agreed to be recorded can be found here.
TOPICS OF INTEREST
The event covered a broad range of topics where machine learning and geometry are combined. A non-exhaustive list includes:
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3D Computer Vision and Computer Graphics
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Graph Neural Networks (e.g. in bioinformatics, recommender systems…)
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Optimal Transport and its applications
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Topological data analysis
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Representation learning and geometry (e.g. hyperbolic embeddings, hyperbolic neural networks, mixed-curvature representations)
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Riemannian MCMC
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Invariant and equivariant representations
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And more...
Please consult our past list of speakers and mentors for more information.
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Timezone: BST (UTC + 1)