activity
20122021
most citedA category theory framework for Bayesian learning

2 citations · 3 across the 4 of their papers we have counts for

collaborators

7 papers

math.CT2021★ 2 cited

A category theory framework for Bayesian learning

Kotaro Kamiya, John Welliaveetil

Inspired by the foundational works by Spivak and Fong and Cruttwell et al., we introduce a categorical framework to formalize Bayesian inference and learning. The two key ideas at…

math.AG2021

Specialization morphisms

Ildar Gaisin, John Welliaveetil

We define the notion of a specialization morphism from a locally noetherian analytic adic space to a scheme. This captures the (classical) specialization morphism associated to a f…

math.AG2021

A study of compatible deformations in non-Archimedean geometry

John Welliaveetil

In 2010, Hrushovski--Loeser showed that the Berkovich analytification of a quasi-projective variety over a non-Archimedean valued field admits a deformation retraction onto a finit…

math.AG2018

Radiality of definable sets

John Welliaveetil

In this article we use techniques developed by Hrushovski-Loeser to study certain metric properties of the Berkovich analytification of a finite morphism of smooth connected projec…

math.AG2017

Constructibility and Reflexivity in non-Archimedean geometry

Ildar Gaisin, John Welliaveetil

We introduce a notion of constructibility for étale sheaves with torsion coefficients over a suitable class of adic spaces. This notion is related to the classical notion of constr…

math.AG2013

A Riemann-Hurwitz Formula for Skeleta in Non-Archimedean Geometry

John Welliaveetil

Let be a finite morphism between smooth, projective, irreducible curves defined over a non-archimedean valued, algebraically closed field . This morphism induces a…

math.AG2012★ 1 cited

Finite Morphisms between Projective Varieties and Skeleta

John Welliaveetil

In this paper we study finite morphisms between irreducible projective varieties in terms of the morphisms they induce between the respective analytifications. The background for t…