David J. Prömel

According to our database, David J. Prömel authored at least 9 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Global universality via discrete-time signatures.

Mihriban Ceylan, David J. Prömel

CoRR, March, 2026

Universal approximation with signatures of non-geometric rough paths.

Mihriban Ceylan, Anna P. Kwossek, David J. Prömel

CoRR, February, 2026

2025

Global universal approximation with Brownian signatures.

Mihriban Ceylan, David J. Prömel

CoRR, December, 2025

Distributionally robust approximation property of neural networks.

Mihriban Ceylan, David J. Prömel

CoRR, October, 2025

Universal approximation property of neural stochastic differential equations.

Anna P. Kwossek, David J. Prömel, Josef Teichmann

CoRR, March, 2025

2024

Neural stochastic Volterra equations: learning path-dependent dynamics.

David J. Prömel, David Scheffels

CoRR, 2024

2023

Pathwise convergence of the Euler scheme for rough and stochastic differential equations.

Andrew L. Allan, Anna P. Kwossek, Chong Liu, David J. Prömel

CoRR, 2023

2022

One-dimensional game-theoretic differential equations.

Rafal M. Lochowski, Nicolas Perkowski, David J. Prömel

Int. J. Approx. Reason., 2022

2017

Pathwise superreplication via Vovk's outer measure.

Mathias Beiglböck, Alexander M. G. Cox, Martin Huesmann, Nicolas Perkowski, David J. Prömel

Finance Stochastics, 2017