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DANGER2: Data, Numbers, and Geometry

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machine learning mathematical physics algebraic geometry algebraic topology number theory

Audience:	Researchers in the topic
Conference dates:	25-Aug-2022 to 26-Aug-2022
Organizers:	Alexander Kasprzyk*, Thomas Oliver, Yang-Hui He
	*contact for this listing

Upcoming talks

Past talks

Your time			Speaker	Title
Fri	Aug 26	14:15	Maria Cameron	Computing Committors in Collective Variables via Mahalanobis Diffusion Maps
Fri	Aug 26	13:00	Michael R Douglas	Numerical methods for Calabi-Yau and special geometry metrics
Fri	Aug 26	10:15	Anthea Monod	Approximating Persistent Homology for Large Datasets
Fri	Aug 26	09:00	Geordie Williamson	Equivariant deep learning: a hammer looking for a nail
Thu	Aug 25	16:15	Jesus De Loera	On the Discrete Geometric Principles of Machine Learning and Statistical Inference
Thu	Aug 25	15:00	Henry Kvinge	How Deep Learning is Being Made More Robust, More Domain-Aware, and More Capable of Generalization Through the Influence of Algebra and Topology
Thu	Aug 25	13:15	Margaret Regan	Using data as an input to parameterized polynomial systems
Thu	Aug 25	12:00	Alexey Pozdnyakov	Murmurations of elliptic curves

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