activity
20182026
most citedMirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal

20 citations · 32 across the 9 of their papers we have counts for

collaborators

13 papers

math.AP2026

Low-Temperature Large Deviations for the Two-Dimensional Wick-Ordered Cubic Wave Equation

Daniel Heydecker

We prove a trajectory large deviation principle, in the low-temperature limit, for the two-dimensional Wick-ordered defocusing cubic nonlinear wave equation, with initial data draw…

math.PR2026

Pathological Large Deviations of the KMP Process in Dimension

Daniel Heydecker

We study dynamic large deviations for the Kipnis--Marchioro--Presutti process on the discrete torus . By recasting the candidate rate function in terms of a linear…

math.PR2023★ 1 cited

Landau-Lifshitz-Navier-Stokes Equations: Large Deviations and Relationship to The Energy Equality

Benjamin Gess, Daniel Heydecker, Zhengyan Wu

The dynamical large deviations principle for the three-dimensional incompressible Landau-Lifschitz-Navier-Stokes equations is shown, in the joint scaling regime of vanishing noise…

math.PR2023

The Porous Medium Equation: Large Deviations and Gradient Flow with Degenerate and Unbounded Diffusion

Benjamin Gess, Daniel Heydecker

The problem of deriving a gradient flow structure for the porous medium equation which is {\em thermodynamic}, in that it arises from the large deviations of some microscopic parti…

stat.ML2021

Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings

Dominik Kloepfer, Angelica I. Aviles-Rivero, Daniel Heydecker

Graph vertex embeddings based on random walks have become increasingly influential in recent years, showing good performance in several tasks as they efficiently transform a graph…

math.PR2021★ 4 cited

Large Deviations of Kac's Conservative Particle System and Energy Non-Conserving Solutions to the Boltzmann Equation: A Counterexample to the Predicted Rate Function

Daniel Heydecker

We consider the dynamic large deviation behaviour of Kac's collisional process for a range of initial conditions including equilibrium. We prove an upper bound with a rate function…

math.AP2020

Stability, well-posedness and regularity of the homogeneous Landau equation for hard potentials

Nicolas Fournier, Daniel Heydecker

We establish the well-posedness and some quantitative stability of the spatially homogeneous Landau equation for hard potentials, using some specific Monge-Kantorovich cost, assumi…

math.PR2020

Kac's Process with Hard Potentials and a Moderate Angular Singularity

Daniel Heydecker

We investigate Kac's many-particle stochastic model of gas dynamics in the case of hard potentials with a moderate angular singularity, and show that the noncutoff particle system…

cs.CV2019★ 7 cited

Dynamic Spectral Residual Superpixels

Jianchao Zhang, Angelica I. Aviles-Rivero, Daniel Heydecker +3

We consider the problem of segmenting an image into superpixels in the context of -means clustering, in which we wish to decompose an image into local, homogeneous regions corre…

math.PR2019

Bilinear Coagulation Equations

Daniel Heydecker, Robert I. A. Patterson

We consider coagulation equations of Smoluchowski or Flory type where the total merge rate has a bilinear form for a vector of conserved quantities , generalis…

cs.CV2018★ 20 cited

Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal

Daniel Heydecker, Georg Maierhofer, Angelica I. Aviles-Rivero +4

Removing reflection artefacts from a single image is a problem of both theoretical and practical interest, which still presents challenges because of the massively ill-posed nature…

cs.CV2018

Peekaboo - Where are the Objects? Structure Adjusting Superpixels

Georg Maierhofer, Daniel Heydecker, Angelica I. Aviles-Rivero +2

This paper addresses the search for a fast and meaningful image segmentation in the context of -means clustering. The proposed method builds on a widely-used local version of Ll…

math.PR2018

Pathwise Convergence of the Hard Spheres Kac Process

Daniel Heydecker

We derive two estimates for the deviation of the -particle, hard-spheres Kac process from the corresponding Boltzmann equation, measured in expected Wasserstein distance. Partic…