activity
20162026
most citedA pocket guide to nonlinear differential equations in the Musielak--Orlicz spaces

117 citations · 335 across the 29 of their papers we have counts for

collaborators

35 papers

stat.ML2026

Born Discrete, Made Smooth: Variational Formulation of Shallow Neural Networks

Matej Benko, Pierre Bousquet, Iwona Chlebicka +1

Although neural networks are remarkably effective, their underlying optimization principles remain theoretically elusive, often characterized by non-convex landscapes and stochasti…

math.AP2026

Orlicz Potential Theory: Balayage, Riesz Measures, and Very Weak Solutions

Iwona Chlebicka, Minhyun Kim, Ying Li +1

We develop a nonlinear potential theory for elliptic equations with Orlicz growth under general monotonicity and growth conditions, without any homogeneity or scaling assumptions.…

math.AP2025

Gradient higher integrability of bounded solutions to parabolic double-phase systems

Iwona Chlebicka, Prashanta Garain, Wontae Kim

We prove that bounded solutions to degenerate parabolic double-phase problem modelled upon \[u_t-\dv(|\na u|^{p-2}\na u+a(x,t)|\na u|^{q-2}\na u)=-\dv(|F|^{p-2}F+a(x,t)|F|^{q-2}F)\…

stat.ML2024

Langevin Monte Carlo Beyond Lipschitz Gradient Continuity

Matej Benko, Iwona Chlebicka, Jørgen Endal +1

We present a significant advancement in the field of Langevin Monte Carlo (LMC) methods by introducing the Inexact Proximal Langevin Algorithm (IPLA). This novel algorithm broadens…

math.AP2024★ 1 cited

Discarding Lavrentiev's Gap in Non-autonomous and Non-Convex Variational Problems

Michał Borowski, Pierre Bousquet, Iwona Chlebicka +2

We establish that the Lavrentiev gap between Sobolev and Lipschitz maps does not occur for a scalar variational problem of the form: \[ \textrm{to minimize} \qquad u \mapsto \int_Ω…

math.NA2024★ 1 cited

Convergence rates of particle approximation of forward-backward splitting algorithm for granular medium equations

Matej Benko, Iwona Chlebicka, Jørgen Endal +1

We study the spatially homogeneous granular medium equation \[\partial_tμ=\rm{div}(μ\nabla V)+\rm{div}(μ(\nabla W \ast μ))+Δμ\,,\] within a large and natural class of the confineme…

math.AP2024

Refined asymptotics for the Cauchy problem for the fast -Laplace evolution equation

Matteo Bonforte, Iwona Chlebicka, Nikita Simonov

Our focus is on the fast diffusion equation driven by the -Laplacian operator, that is with , posed in the whole space , . The…

math.AP2024

Riesz potential estimates for mixed local-nonlocal problems with measure data

Iwona Chlebicka, Kyeong Song, Yeonghun Youn +1

We study gradient regularity for mixed local-nonlocal problems modelled upon \[ -Δ_p u +(-Δ_p)^su=μ\qquad\text{for} \quad 2-\tfrac{1}{n}<p<\infty\quad \text{and}\quad s\in(0,1)\,,\…

math.AP2023★ 1 cited

Gradient Riesz potential estimates for a general class of measure data quasilinear systems

Iwona Chlebicka, Minhyun Kim, Marvin Weidner

We study the gradient regularity of solutions to measure data elliptic systems with Uhlenbeck-type structure and Orlicz growth. For any bounded Borel measure, pointwise estimates f…

stat.CO2023

Solidarity of Gibbs Samplers: the spectral gap

Iwona Chlebicka, Krzysztof Łatuszyński, Błażej Miasojedow

Gibbs samplers are preeminent Markov chain Monte Carlo algorithms used in computational physics and statistical computing. Yet, their most fundamental properties, such as relations…

math.AP2023★ 1 cited

A direct proof of existence of weak solutions to fully anisotropic and inhomogeneous elliptic problems

Iwona Chlebicka, Arttu Karppinen, Ying Li

We provide a direct proof of existence and uniqueness of weak solutions to a broad family of strongly nonlinear elliptic equations with lower order terms. The leading part of the o…

math.AP2023★ 2 cited

Absence and presence of Lavrentiev's phenomenon for double phase functionals upon every choice of exponents

Michał Borowski, Iwona Chlebicka, Filomena De Filippis +1

We study classes of weights ensuring the absence and presence of the Lavrentiev's phenomenon for double phase functionals upon every choice of exponents. We introduce a new sharp s…

math.AP2022★ 3 cited

Absence of Lavrentiev's gap for anisotropic functionals

Michał Borowski, Iwona Chlebicka, Błażej Miasojedow

We establish the absence of the Lavrentiev gap between Sobolev and smooth maps for a non-autonomous variational problem of a general structure, where the integrand is assumed to be…

math.AP2022★ 1 cited

Boundedness of Wolff-type potentials and applications to PDEs

Michał Borowski, Iwona Chlebicka, Błażej Miasojedow

We provide a short proof of a sharp rearrangement estimate for a generalized version of a potential of Wolff--Havin--Maz'ya type. As a consequence, we prove a reduction principle f…

math.AP2021

Controlling monotonicity of nonlinear operators

Michał Borowski, Iwona Chlebicka

Controlling the monotonicity and growth of Leray--Lions' operators including the -Laplacian plays a fundamental role in the theory of existence and regularity of solutions to se…

math.AP2021

Functional inequalities and applications to doubly nonlinear diffusion equations

Iwona Chlebicka, Nikita Simonov

We study weighted inequalities of Hardy and Hardy-Poincaré type and find necessary and sufficient conditions on the weights so that the considered inequalities hold. Examples with…

math.AP2021★ 1 cited

Measure data systems with Orlicz growth

Iwona Chlebicka, Yeonghun Youn, Anna Zatorska-Goldstein

We study the existence of very weak solutions to a system \[\begin{cases}-\mathrm{div} \mathcal{A}(x,D\mathbf{u})=\mathbfμ\quad\text{in }\ Ω, \mathbf{u}=0\quad\text{on }\ \partialΩ…

math.AP2021★ 1 cited

Wolff potentials and measure data vectorial problems with Orlicz growth

Iwona Chlebicka, Yeonghun Youn, Anna Zatorska-Goldstein

We study solutions to measure data elliptic systems with Uhlenbeck-type structure that involve operator of divergence form, depending continuously on the spacial variable, and expo…

math.AP2020★ 3 cited

Measure data elliptic problems with generalized Orlicz growth

Iwona Chlebicka

We study nonlinear measure data elliptic problems involving the operator exposing generalized Orlicz growth. Our framework embraces reflexive Orlicz spaces, as well as natural vari…

math.AP2020

Essentially fully anisotropic Orlicz functions and uniqueness to measure data problem

Iwona Chlebicka, Piotr Nayar

Studying elliptic measure data problem with strongly nonlinear operator whose growth is described by the means of fully anisotropic -function, we prove the uniqueness for a broa…

math.AP2020★ 5 cited

Wolff potentials and local behaviour of solutions to measure data elliptic problems with Orlicz growth

Iwona Chlebicka, Flavia Giannetti, Anna Zatorska-Goldstein

We establish pointwise estimates expressed in terms of a nonlinear potential of a generalized Wolff type for -superharmonic functions with nonlinear operator $A:Ω\times\mathbb{R…

math.AP2020

Generalized superharmonic functions with strongly nonlinear operator

Iwona Chlebicka, Anna Zatorska-Goldstein

We study properties of -harmonic and -superharmonic functions involving an operator having generalized Orlicz-growth embracing besides Orlicz case also na…

math.AP2020

Boundary regularity for manifold constrained -harmonic maps

Iwona Chlebicka, Cristiana De Filippis, Lukas Koch

We prove partial and full boundary regularity for manifold constrained -harmonic maps.

math.AP2020

Removable sets in elliptic equations with Musielak-Orlicz growth

Iwona Chlebicka, Arttu Karppinen

We characterize, in the terms of intrinsic Hausdorff measures, the size of~removable sets for Hölder continuous solutions to elliptic equations with Musielak-Orlicz growth. In the…