Julian Sieber
Julian Sieber
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Zitiert von
Zitiert von
Slow-fast systems with fractional environment and dynamics
XM Li, J Sieber
The Annals of Applied Probability 32 (5), 3964-4003, 2022
Deep Learning based Forecasting: a case study from the online fashion industry
M Kunz, S Birr, M Raslan, L Ma, T Januschowski
Forecasting with Artificial Intelligence: Theory and Applications, 279-311, 2023
Bounds on the bipartite entanglement entropy for oscillator systems with or without disorder
V Beaud, J Sieber, S Warzel
Journal of Physics A: Mathematical and Theoretical 52 (23), 235202, 2019
Functional limit theorems for Volterra processes and applications to homogenization
J Gehringer, XM Li, J Sieber
arXiv preprint arXiv:2104.06364, 2021
On the (non) stationary density of fractional-driven stochastic differential equations
XM Li, F Panloup, J Sieber
The Annals of Probability 51 (6), 2056-2085, 2023
Mild stochastic sewing lemma, SPDE in random environment, and fractional averaging
XM Li, J Sieber
Stochastics and Dynamics 22 (07), 2240025, 2022
Causal forecasting for pricing
D Schultz, J Stephan, J Sieber, T Yeh, M Kunz, P Doupe, T Januschowski
arXiv preprint arXiv:2312.15282, 2023
Quantitative universal approximation bounds for deep belief networks
J Sieber, J Gehringer
International Conference on Machine Learning, 31773-31787, 2023
Formulae for the Derivative of the Poincaré Constant of Gibbs Measures
J Sieber
Stochastic Processes and their Applications 140, 1-20, 2021
Recovery Maps for Approximate Markov Chains—–a Matrix Product State Perspective
J Sieber
Bachelor’s thesis, Technical University of Munich, 2017
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