Claudia Schillings

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 25

Top Topics

Driven Learning

Inverse Problems

Steepest Ascent

Top Venues

SIAM/ASA J. Uncertain. Quantification

SIAM J. Numer. Anal.

Numerische Mathematik

Publications

Philipp A. Guth, Claudia Schillings, Simon Weissmann
One-Shot Learning of Surrogates in PDE-Constrained Optimization under Uncertainty. SIAM/ASA J. Uncertain. Quantification 12 (2) (2024)
David Sommer, Robert Gruhlke, Max Kirstein, Martin Eigel, Claudia Schillings
Generative Modelling with Tensor Train approximations of Hamilton-Jacobi-Bellman equations. CoRR (2024)
Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan
Parabolic PDE-constrained optimal control under uncertainty with entropic risk measure using quasi-Monte Carlo integration. Numerische Mathematik 156 (2) (2024)
Vesa Kaarnioja, Claudia Schillings
Quasi-Monte Carlo for Bayesian design of experiment problems governed by parametric PDEs. CoRR (2024)
Claudia Schillings, Claudia Totzeck, Philipp Wacker
Ensemble-Based Gradient Inference for Particle Methods in Optimization and Sampling. SIAM/ASA J. Uncertain. Quantification 11 (3) (2023)
Matei Hanu, Jonas Latz, Claudia Schillings
Subsampling in ensemble Kalman inversion. CoRR (2023)
Steffen Jung, Jan Christian Schwedhelm, Claudia Schillings, Margret Keuper
Happy People - Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models. CoRR (2023)
Matei Hanu, Jürgen Hesser, Guido Kanschat, Javier Moviglia, Claudia Schillings, Jan Stallkamp
Ensemble Kalman Inversion for Image Guided Guide Wire Navigation in Vascular Systems. CoRR (2023)
Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan
Parabolic PDE-constrained optimal control under uncertainty with entropic risk measure using quasi-Monte Carlo integration. CoRR (2022)
Dirk Blömker, Claudia Schillings, Philipp Wacker, Simon Weissmann
Continuous Time Limit of the Stochastic Ensemble Kalman Inversion: Strong Convergence Analysis. SIAM J. Numer. Anal. 60 (6) (2022)
Claudia Schillings, Claudia Totzeck, Philipp Wacker
Ensemble-based gradient inference for particle methods in optimization and sampling. CoRR (2022)
Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan
A Quasi-Monte Carlo Method for Optimal Control Under Uncertainty. SIAM/ASA J. Uncertain. Quantification 9 (2) (2021)
Dirk Blömker, Claudia Schillings, Philipp Wacker, Simon Weissmann
Continuous time limit of the stochastic ensemble Kalman inversion: Strong convergence analysis. CoRR (2021)
Philipp A. Guth, Claudia Schillings, Simon Weissmann
A General Framework for Machine Learning based Optimization Under Uncertainty. CoRR (2021)
Simon Weissmann, Neil K. Chada, Claudia Schillings, Xin T. Tong
Adaptive Tikhonov strategies for stochastic ensemble Kalman inversion. CoRR (2021)
Neil K. Chada, Claudia Schillings, Xin T. Tong, Simon Weissmann
Consistency analysis of bilevel data-driven learning in inverse problems. CoRR (2020)
Claudia Schillings, Björn Sprungk, Philipp Wacker
On the convergence of the Laplace approximation and noise-level-robustness of Laplace-based Monte Carlo methods for Bayesian inverse problems. Numerische Mathematik 145 (4) (2020)
Philipp A. Guth, Claudia Schillings, Simon Weissmann
Ensemble Kalman filter for neural network based one-shot inversion. CoRR (2020)
Neil K. Chada, Claudia Schillings, Simon Weissmann
On the Incorporation of Box-Constraints for Ensemble Kalman Inversion. CoRR (2019)
Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan
A quasi-Monte Carlo Method for an Optimal Control Problem Under Uncertainty. CoRR (2019)
Ralf Hiptmair, Laura Scarabosio, Claudia Schillings, Christoph Schwab
Large deformation shape uncertainty quantification in acoustic scattering. Adv. Comput. Math. 44 (5) (2018)
Dirk Blömker, Claudia Schillings, Philipp Wacker
A Strongly Convergent Numerical Scheme from Ensemble Kalman Inversion. SIAM J. Numer. Anal. 56 (4) (2018)
Dishi Liu, Alexander Litvinenko, Claudia Schillings, Volker Schulz
Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties - Comparison of Approaches. SIAM/ASA J. Uncertain. Quantification 5 (1) (2017)
Claudia Schillings, Andrew M. Stuart
Analysis of the Ensemble Kalman Filter for Inverse Problems. SIAM J. Numer. Anal. 55 (3) (2017)
Claudia Schillings, Mikael Sunnåker, Jörg Stelling, Christoph Schwab
Efficient Characterization of Parametric Uncertainty of Complex (Bio)chemical Networks. PLoS Comput. Biol. 11 (8) (2015)
Markus Hansen, Claudia Schillings, Christoph Schwab
Sparse Approximation Algorithms for High Dimensional Parametric Initial Value Problems. HPSC (2012)