activity
20242026
most citedToric invariance of vertically parametrized systems

1 citations · 1 across the 1 of their papers we have counts for

collaborators

7 papers

q-bio.MN2026

The generic geometry of steady state varieties

Elisenda Feliu, Oskar Henriksson, Beatriz Pascual-Escudero

We answer several fundamental geometric questions about reaction networks with power-law kinetics, on topics such as generic finiteness of the number of steady states, robustness,…

math.AG20261 cited

Toric invariance of vertically parametrized systems

Elisenda Feliu, Oskar Henriksson

We consider the problem of deciding whether the solution sets of a parametrized polynomial system are toric in the sense that they admit a monomial parametrization. We focus on ver…

math.AG2026

Elimination Without Eliminating: Computing Complements of Real Hypersurfaces Using Pseudo-Witness Sets

Paul Breiding, John Cobb, Aviva K. Englander +6

Many hypersurfaces in algebraic geometry, such as discriminants, arise as the projection of another variety. The real complement of such a hypersurface partitions its ambient space…

math.DS2026

A flux-based approach for analyzing the disguised toric locus of reaction networks

Balázs Boros, Gheorghe Craciun, Oskar Henriksson +2

Dynamical systems with polynomial right-hand sides are very important in various applications, e.g., in biochemistry and population dynamics. The mathematical study of these dynami…

q-bio.MN2025

Maximum likelihood estimation of log-affine models using detailed-balanced reaction networks

Oskar Henriksson, Carlos Améndola, Jose Israel Rodriguez +1

A fundamental question in the field of molecular computation is what computational tasks a biochemical system can carry out. In this work, we focus on the problem of finding the ma…

math.AG2024

A tropical method for solving parametrized polynomial systems

Paul Alexander Helminck, Oskar Henriksson, Yue Ren

We give a framework for constructing generically optimal homotopies for parametrized polynomial systems from tropical data. Here, generically optimal means that the number of paths…