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2021

Hwijae Son, Jin Woo Jang, Woo Jin Han and Hyung Ju Hwang
Sobolev Training for the Neural Network Solutions of PDEs
2021
https://arxiv.org/abs/2101.08932

2020

David Fajman, Gernot Heißel and Jin Woo Jang
Averaging with a time-dependent perturbation parameter
2020
https://ui.adsabs.harvard.edu/abs/2020arXiv200612844F
Maximillian Fels and Lisa B. Hartung
Extremes of the 2d scale-inhomogeneous discrete Gaussian free field: Extremal process in the weakly correlated regime
2020
https://arxiv.org/abs/2002.00925
Maximilian Fels and Lisa B. Hartung
Extremes of the 2d scale-inhomogeneous discrete Gaussian free field: Convergence of the maximum in the regime of weak correlations
2020
https://arxiv.org/abs/1912.13184
Fabian Hoppe and Ira Neitzel
Optimal control of quasilinear parabolic PDEs with state constraints
2020
https://ins.uni-bonn.de/media/public/publication-media/INSPreprint2004.pdf
Fabian Hoppe and Ira Neitzel
A-posteriori reduced basis error-estimates for a semi-discrete in space quasilinear parabolic PDE
2020
https://ins.uni-bonn.de/media/public/publication-media/INSPreprint2005.pdf
Jae Yong Lee, Jin Woo Jang and Hyung Ju Hwang
The model reduction of the Vlasov-Poisson-Fokker-Planck system to the Poisson-Nernst-Planck system via the Deep Neural Network Approach
2020
https://ui.adsabs.harvard.edu/abs/2020arXiv200913280L

2019

Alexander Effland, Erich Kobler, Anne Brandenburg, Teresa Klatzer, Leonie Neuhäuser, Michael Hölzel, Jennifer Landsberg, Thomas Pock and Martin Rumpf
Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data
International Journal of Computer Assisted Radiology and Surgery, 14(4): 587--599 2019
https://dx.doi.org/10.1007/s11548-019-01919-z
Fabian Hoppe and Ira Neitzel
Convergence of the SQP Method for Quasilinear Parabolic Optimal Control Problems
2019
https://ins.uni-bonn.de/media/public/publication-media/INSPreprint1907.pdf

2018

Anton Bovier and Lisa B. Hartung
From $1$ to $6$: a finer analysis of perturbed branching Brownian motion
2018
https://arxiv.org/abs/1808.05445
D. Dũng, M. Griebel, V. N. Huy and C. Rieger
$\varepsilon$-dimension in infinite dimensional hyperbolic cross approximation and application to parametric elliptic PDEs
Journal of Complexity, 46: 66--89 2018
10.1016/j.jco.2017.12.001
Matthias Erbar, Martin Huesmann and Thomas Leblé
The one-dimensional log-gas free energy has a unique minimiser
arxiv e-print 1812.06929 2018
https://arxiv.org/abs/1812.06929
A. Giunti, R. Höfer and J.J.L. Velázquez
Homogenization for the Poisson equation in randomly perforated domains under minimal assumptions on the size of the holes
2018
https://arxiv.org/abs/1803.10214
Arianna Giunti and Richard M. Höfer
Homogenization for the Stokes equations in randomly perforated domains under almost minimal assumptions on the size of the holes
arXiv e-prints: arXiv:1809.04491 2018
https://ui.adsabs.harvard.edu/abs/2018arXiv180904491G
Michael Goldmann, Martin Huesmann and Felix Otto
A large-scale regularity theory for the Monge-Ampere equation with rough data and application to the optimal matching problem
arxiv e-print 1808.09250 2018
https://arxiv.org/abs/1808.09250
M. Gubinelli and M. Hofmanová
Global solutions to elliptic and parabolic $\Phi^4$ models in Euclidean space
ArXiv e-prints 2018
https://arxiv.org/abs/1804.11253
Massimiliano Gubinelli and Martina Hofmanová
A PDE construction of the Euclidean $\Phi^4_3$ quantum field theory
2018
https://arxiv.org/abs/1810.01700
Richard M. Höfer
The inertialess limit of particle sedimentation modeled by the Vlasov-Stokes equations
SIAM J. Math. Anal., 50(5): 5446--5476 2018
10.1137/18M1165554
Richard M. Höfer
Sedimentation of Inertialess Particles in Stokes Flows
Communications in Mathematical Physics, 360(1): 55--101 2018
10.1007/s00220-018-3131-y
Martin Huesmann and Florian Stebegg
Monotonicity preserving transformations of MOT and SEP
Stochastic Process. Appl., 128(4): 1114--1134 2018
10.1016/j.spa.2017.07.005