activity
20202026
most citedContinuous limits of generalized pentagram maps

3 citations · 4 across the 5 of their papers we have counts for

collaborators

8 papers

math.SP2026

Planar Dirichlet eigenvalue bounds from a trace identity

Romain Speciel

We prove an asymptotically sharp lower bound for the eigenvalues of the Dirichlet Laplacian on bounded open sets in the plane with area . The proof employs a trace ident…

math.SP2026

An inverse problem on eigenfunction triple products

Carl Schildkraut, Romain Speciel

On a connected closed smooth Riemannian manifold, the algebraic structure of the Laplace eigenfunctions, as described by eigenfunction triple products, uniquely determines the geom…

math.SP2026

Geometric rigidity from the Dirichlet-to-Neumann operator

Romain Speciel

The analytic properties of the Dirichlet-to-Neumann operator reflect the geometry of the underlying manifold. As a guiding example of this relationship, consider the Euclidean unit…

math.AP2025

Stability Estimates for Commutativity Properties of the Dirichlet-to-Neumann Operator

Romain Speciel

The Laplacian on the unit sphere has the property that it can explicitly be expressed in terms of , the Dirichlet-t…

math.AP2025

A Deformation Approach to the BFK Formula

Romain Speciel

Understanding how spectral quantities localize on manifolds is a central theme in geometric spectral theory and index theory. Within this framework, the BFK formula, obtained by Bu…

math.DG2025

Surfaces with Commuting Boundary Laplacian and Dirichlet-to-Neumann Map

Romain Speciel

For a smooth, connected, compact -dimensional submanifold with boundary, equipped with the standard metric, the Laplacian on is know…

math.DS2020★ 3 cited

Continuous limits of generalized pentagram maps

Danny Nackan, Romain Speciel

We provide a rigorous treatment of continuous limits for various generalizations of the pentagram map on polygons in by means of quantum calculus. Describing this l…

cs.LG2020★ 1 cited

Evaluating Ensemble Robustness Against Adversarial Attacks

George Adam, Romain Speciel

Adversarial examples, which are slightly perturbed inputs generated with the aim of fooling a neural network, are known to transfer between models; adversaries which are effective…