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
Depth Separation in Norm-Bounded Infinite-Width Neural Networks
Parkinson, S
Ongie, G
Willett, R
Shamir, O
Srebro, N
(13 Feb 2024)
https://arxiv.org/abs/2402.08808v1
A stabilization result for Z/2-harmonic 1-forms by constructing solutions on closed 3-manifolds with long cylindrical necks
Salm, W
(09 Oct 2024)
https://arxiv.org/abs/2410.07015v2
Search for Z/2 eigenfunctions on the sphere using machine learning
Haydys, A
Salm, W
(17 Jul 2025)
https://arxiv.org/abs/2507.13122v1