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Jan Draisma: Learning the continuous symmetries of a variety from noisy samples

Date: 2026-06-22

Time: 11:00 - 11:45

Speaker
Jan Draisma, University of Bern

Abstract
An embedded variety X in R^n may be presented to us in different ways:

via equations, via a parameterisation, or via (noisy) samples. An

important invariant of X is its symmetry group G_X: the subgroup of

GL_n(R) consisting of all matrices that preserve X. I will describe

methods for learning the Lie algebra of G_X in these three settings. In

the parameterised setting, this is joint work with Biaggi, Gesmundo,

Maraj, and Mišinová. The sample setting is work in progress that started

earlier this year at the Bernoulli Center in Lausanne, and leads to

several open problems relating metric algebraic geometry to Lie theory.