Prati
Simon Weissmann
Simon Weissmann
Potvrđena adresa e-pošte na uni-mannheim.de
Naslov
Citirano
Citirano
Godina
Well posedness and convergence analysis of the ensemble Kalman inversion
D Blömker, C Schillings, P Wacker, S Weissmann
Inverse Problems 35 (8), 085007, 2019
562019
Fokker--Planck particle systems for Bayesian inference: Computational approaches
S Reich, S Weissmann
SIAM/ASA Journal on Uncertainty Quantification 9 (2), 446-482, 2021
442021
On the incorporation of box-constraints for ensemble Kalman inversion
NK Chada, C Schillings, S Weissmann
Foundations of Data Science 1 (4), 433-456, 2019
282019
Continuous time limit of the stochastic ensemble Kalman inversion: strong convergence analysis
D Blömker, C Schillings, P Wacker, S Weissmann
SIAM Journal on Numerical Analysis 60 (6), 3181-3215, 2022
142022
Adaptive Tikhonov strategies for stochastic ensemble Kalman inversion
S Weissmann, NK Chada, C Schillings, XT Tong
Inverse Problems 38 (4), 045009, 2022
132022
Ensemble Kalman filter for neural network based one-shot inversion
PA Guth, C Schillings, S Weissmann
arXiv preprint arXiv:2005.02039, 2020
112020
Consistency analysis of bilevel data-driven learning in inverse problems
NK Chada, C Schillings, XT Tong, S Weissmann
Communications in Mathematical Sciences 20 (1), 123-164, 2022
82022
Gradient flow structure and convergence analysis of the ensemble Kalman inversion for nonlinear forward models
S Weissmann
Inverse Problems 38 (10), 105011, 2022
72022
14 Ensemble Kalman filter for neural network-based one-shot inversion
PA Guth, C Schillings, S Weissmann
Optimization and Control for Partial Differential Equations: Uncertainty …, 2022
62022
Multilevel Optimization for Inverse Problems
S Weissmann, A Wilson, J Zech
Conference on Learning Theory, 2022, 5489-5524, 2022
32022
Particle based sampling and optimization methods for inverse problems
SL Weissmann
PQDT-Global, 2020
32020
Metropolis-adjusted interacting particle sampling
B Sprungk, S Weissmann, J Zech
arXiv preprint arXiv:2312.13889, 2023
12023
Adaptive multilevel subset simulation with selective refinement
D Elfverson, R Scheichl, S Weissmann, FA DiazDelaO
arXiv preprint arXiv:2208.05392, 2022
12022
On the mean-field limit for Stein variational gradient descent: stability and multilevel approximation
S Weissmann, J Zech
arXiv preprint arXiv:2402.01320, 2024
2024
The Ensemble Kalman Filter for Dynamic Inverse Problems
S Weissmann, NK Chada, XT Tong
arXiv preprint arXiv:2401.11948, 2024
2024
On the ensemble Kalman inversion under inequality constraints
M Hanu, S Weissmann
arXiv preprint arXiv:2312.13804, 2023
2023
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods
S Klein, S Weissmann, L Döring
arXiv preprint arXiv:2310.02671, 2023
2023
One-shot Learning of Surrogates in PDE-constrained Optimization Under Uncertainty
PA Guth, C Schillings, S Weissmann
arXiv preprint arXiv:2112.11126, 2021
2021
A General Framework for Machine Learning based Optimization Under Uncertainty
C Schillings, PA Guth, S Weissmann
., 2021
2021
A General Framework for Machine Learning based Optimization Under Uncertainty.
PA Guth, C Schillings, S Weissmann
CoRR, 2021
2021
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