VLDB 2026 Research / reviewers in the wild / expert
Dorette Pronk
dblp:90/3843
· DBLP profile ↗
3ranked-venue papers
1as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 3 · 1 first-author · 2 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Pseudolimits for tangent categories with applications to equivariant algebraic and differential geometryabstractAbstract In this paper, we show that if $\mathscr{C}$ is a category and if $F\colon \mathscr{C}^{\;\textrm {op}} \to \mathfrak{Cat}$ is a pseudofunctor such that for each object $X$ of $\mathscr{C}$ the category $F(X)$ is a tangent category and for each morphism $f$ of $\mathscr{C}$ the functor $F(\,f)$ is part of a strong tangent morphism $(F(\,f),\!\,_{f}{\alpha })$ and that furthermore the natural transformations $\!\,_{f}{\alpha }$ vary pseudonaturally in $\mathscr{C}^{\;\textrm {op}}$ , then there is a tangent structure on the pseudolimit $\mathbf{PC}(F)$ which is induced by the tangent structures on the categories $F(X)$ together with how they vary through the functors $F(\,f)$ . We use this observation to show that the forgetful $2$ -functor $\operatorname {Forget}:\mathfrak{Tan} \to \mathfrak{Cat}$ creates and preserves pseudolimits indexed by $1$ -categories. As an application, this allows us to describe how equivariant descent interacts with the tangent structures on the category of smooth (real) manifolds and on various categories of (algebraic) varieties over a field. Dorette Pronk, Geoff Vooys |
Math. Struct. Comput. Sci. | 1 |
| 2022 | Monoidal reverse differential categoriesabstractAbstract Cartesian reverse differential categories (CRDCs) are a recently defined structure which categorically model the reverse differentiation operations used in supervised learning. Here, we define a related structure called a monoidal reverse differential category, prove important results about its relationship to CRDCs, and provide examples of both structures, including examples coming from models of quantum computation. Geoff S. H. Cruttwell, Jonathan Gallagher, Jean-Simon Lemay, Dorette Pronk |
Math. Struct. Comput. Sci. | 4 |
| 2020 | Reverse Derivative CategoriesabstractThe reverse derivative is a fundamental operation in machine learning and automatic differentiation. This paper gives a direct axiomatization of a category with a reverse derivative operation, in a similar style to that given by Cartesian differential categories for a forward derivative. Intriguingly, a category with a reverse derivative also has a forward derivative, but the converse is not true. In fact, we show explicitly what a forward derivative is missing: a reverse derivative is equivalent to a forward derivative with a dagger structure on its subcategory of linear maps. Furthermore, we show that these linear maps form an additively enriched category with dagger biproducts. J. Robin B. Cockett, Geoff S. H. Cruttwell, Jonathan Gallagher, Jean-Simon Lemay, Benjamin MacAdam, Gordon D. Plotkin, Dorette Pronk |
CSL | 7 |