Global minimality of the degree-one Ginzburg-Landau vortex solution in the unit ball in dimensions $n \geq 2$
Ignat, R
Nguyen, L
(28 Sep 2026)
https://arxiv.org/abs/2609.35398v1
Lower error bounds and optimality of approximation for jump-diffusion SDEs with discontinuous drift
Przybyłowicz, P
Schwarz, V
Szölgyenyi, M
(10 Mar 2023)
https://arxiv.org/abs/2303.05945v3
A Skorohod measurable universal functional representation of solutions to semimartingale SDEs
Przybyłowicz, P
Schwarz, V
Steinicke, A
Szölgyenyi, M
(17 Jan 2022)
https://arxiv.org/abs/2201.06278v4
A higher order approximation method for jump-diffusion SDEs with discontinuous drift coefficient
Przybyłowicz, P
Schwarz, V
Szölgyenyi, M
(16 Nov 2022)
https://arxiv.org/abs/2211.08739v2
Randomized Milstein algorithm for approximation of solutions of jump-diffusion SDEs
Przybyłowicz, P
Schwarz, V
Szölgyenyi, M
(01 Dec 2022)
https://arxiv.org/abs/2212.00411v2
Strong order 1 adaptive approximation of jump-diffusion SDEs with discontinuous drift
Schwarz, V
(13 Apr 2025)
https://arxiv.org/abs/2504.09452v2
Approximation of the Lévy-driven stochastic heat equation on the sphere
Lang, A
Papini, A
Schwarz, V
(07 Jul 2025)
https://arxiv.org/abs/2507.05005v2
Analysis of Normal-Form Algorithms for Solving Systems of Polynomial Equations
Parkinson, S
Ringer, H
Wall, K
Parkinson, E
Erekson, L
Christensen, D
Jarvis, T
(08 Apr 2021)
https://arxiv.org/abs/2104.03526v1
Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay
Laus, H
Parkinson, S
Charisopoulos, V
Krahmer, F
Willett, R
(21 Feb 2025)
https://arxiv.org/abs/2502.15522v3
ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models
Parkinson, S
Ongie, G
Willett, R
(24 May 2023)
https://arxiv.org/abs/2305.15598v4