Felix Krahmer
Orcid: 0000-0002-1959-5548Affiliations:
- Technical University Munich, Germany
According to our database1,
Felix Krahmer
authored at least 89 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
CoRR, 2024
The Mathematics of Dots and Pixels: On the Theoretical Foundations of Image Halftoning.
CoRR, 2024
Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images.
Proceedings of the Computer Vision - ECCV 2024, 2024
Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
2023
SIAM J. Imaging Sci., September, 2023
Numer. Algorithms, June, 2023
CoRR, 2023
On the reconstruction of bandlimited signals from random samples quantized via noise-shaping.
CoRR, 2023
How robust is randomized blind deconvolution via nuclear norm minimization against adversarial noise?
CoRR, 2023
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
SIAM J. Matrix Anal. Appl., December, 2022
The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments.
IEEE Trans. Signal Process., 2022
IEEE Trans. Signal Process., 2022
Unlimited Sampling From Theory to Practice: Fourier-Prony Recovery and Prototype ADC.
IEEE Trans. Signal Process., 2022
Sketching with Kerdock's Crayons: Fast Sparsifying Transforms for Arbitrary Linear Maps.
SIAM J. Matrix Anal. Appl., 2022
SIAM J. Imaging Sci., 2022
A sample efficient sparse FFT for arbitrary frequency candidate sets in high dimensions.
Numer. Algorithms, 2022
Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis.
CoRR, 2022
2021
Sparse Harmonic Transforms: A New Class of Sublinear-Time Algorithms for Learning Functions of Many Variables.
Found. Comput. Math., 2021
Discret. Comput. Geom., 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
CoRR, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
2019
Adv. Comput. Math., 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
IEEE Trans. Inf. Theory, 2018
SIAM J. Imaging Sci., 2018
The homotopy method revisited: Computing solution paths of ℓ<sub>1</sub>-regularized problems.
Math. Comput., 2018
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
Optimal Injectivity Conditions for Bilinear Inverse Problems with Applications to Identifiability of Deconvolution Problems.
SIAM J. Appl. Algebra Geom., 2017
CoRR, 2017
Proceedings of the WSA 2017, 2017
2016
Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal Constraints.
Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016
2015
SIAM J. Math. Anal., 2015
SIAM J. Appl. Math., 2015
CoRR, 2015
2014
IEEE Trans. Image Process., 2014
IEEE Signal Process. Lett., 2014
CoRR, 2014
2013
Sigma-Delta quantization of sub-Gaussian frame expansions and its application to compressed sensing.
CoRR, 2013
2012
IEEE Trans. Inf. Theory, 2012
J. Symb. Comput., 2012
Local sampling and approximation of operators with bandlimited Kohn-Nirenberg symbols
CoRR, 2012
Compressive imaging: stable and robust recovery from variable density frequency samples
CoRR, 2012
2011
New and Improved Johnson-Lindenstrauss Embeddings via the Restricted Isometry Property.
SIAM J. Math. Anal., 2011
2010
CoRR, 2010
2009
Electron. Colloquium Comput. Complex., 2009
2008
Proceedings of the Structured Decompositions and Efficient Algorithms, 30.11. - 05.12.2008, 2008