Housen Li
Cytowane przez
Cytowane przez
NETT: Solving Inverse Problems with Deep Neural Networks
H Li, J Schwab, S Antholzer, M Haltmeier
Inverse Problems, 2020
FDR-Control in Multiscale Change-point Segmentation
H Li, A Munk, H Sieling
Electronic Journal of Statistics 10, 918-959, 2016
Incremental manifold learning by spectral embedding methods
H Li, H Jiang, R Barrio, X Liao, L Cheng, F Su
Pattern Recognition Letters, 2011
Seeded Binary Segmentation: A general methodology for fast and optimal change point detection
S Kovács, H Li, P Bühlmann, A Munk
arXiv preprint arXiv:2002.06633, 2020
Variational Multiscale Nonparametric Regression: Smooth Functions
M Grasmair, H Li, A Munk
Ann. Inst. H. Poincaré Probab. Statist. 54 (2), 1058-1097, 2018
Aggregated motion estimation for real‐time MRI reconstruction
H Li, M Haltmeier, S Zhang, J Frahm, A Munk
Magnetic resonance in medicine 72 (4), 1039-1048, 2014
Multiscale Change-point Segmentation: Beyond Step Functions
H Li, Q Guo, A Munk
Electronic Journal of Statistics 13 (2), 3254-3296, 2019
Accurate evaluation of a polynomial in Chebyshev form
H Jiang, R Barrio, H Li, X Liao, L Cheng, F Su
Applied Mathematics and Computation 217 (23), 9702-9716, 2011
Some second-derivative-free variants of Halley’s method for multiple roots
S Li, H Li, L Cheng
Applied Mathematics and Computation 215 (6), 2192-2198, 2009
Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images
P Peter, J Weickert, A Munk, T Krivobokova, H Li
Energy Minimization Methods in Computer Vision and Pattern Recognition, 263-277, 2015
A second-order and two-scale computation method for heat conduction equation with rapidly oscillatory coefficients
F Su, Z Xu, QL Dong, HS Li
Finite Elements in Analysis and Design 47 (3), 276-280, 2011
Empirical Risk Minimization as Parameter Choice Rule for General Linear Regularization Methods
H Li, F Werner
Ann. Inst. H. Poincaré Probab. Statist. 56 (1), 405--427, 2020
The Averaged Kaczmarz Iteration for Solving Inverse Problems
H Li, M Haltmeier
SIAM Journal on Imaging Science 11 (1), 618--642, 2018
The essential histogram
H Li, A Munk, H Sieling, G Walther
Biometrika 107 (2), 347--364, 2020
Variational estimators in statistical multiscale analysis
H Li
Georg-August-Universität Göttingen, 2016
Frame-constrained total variation regularization for white noise regression
M del Álamo, H Li, A Munk
arXiv preprint arXiv:1807.02038, 2018
Optimistic search strategy: Change point detection for large-scale data via adaptive logarithmic queries
S Kovács, H Li, L Haubner, A Munk, P Bühlmann
arXiv preprint arXiv:2010.10194, 2020
Accurate, Validated and Fast Evaluation of Bézier Tensor Product Surfaces
H Jiang, H Li, L Cheng, R Barrio, C Hu, X Liao
Reliable Computing 18, 55-72, 2013
Seeded intervals and noise level estimation in change point detection: A discussion of Fryzlewicz (2020)
S Kovács, H Li, P Bühlmann
Journal of the Korean Statistical Society 49, 1081--1089, 2020
Photonic Imaging with Statistical Guarantees: From Multiscale Testing to Multiscale Estimation
A Munk, K Proksch, H Li, F Werner
Nanoscale Photonic Imaging, 283-312, 2020
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