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ORCIDFelix Krahmer
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- affiliation: Technical University Munich, Germany
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2020 – today
- 2024
[c22]Claudio Mayrink Verdun, Oleh Melnyk, Felix Krahmer, Peter Jung:
Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence. COLT 2024: 3823-3872- [c21]Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Sebastian Endt, Marion I. Menzel, Felix Krahmer, Holger Rauhut:
Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images. ECCV (78) 2024: 432-450 - [i60]Felix Krahmer, Anna Veselovska:
The Mathematics of Dots and Pixels: On the Theoretical Foundations of Image Halftoning. CoRR abs/2406.12760 (2024) - [i59]Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion I. Menzel, Holger Rauhut:
With or Without Replacement? Improving Confidence in Fourier Imaging. CoRR abs/2407.13575 (2024) - [i58]Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut:
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning. CoRR abs/2407.13666 (2024) - [i57]Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut:
High-Dimensional Confidence Regions in Sparse MRI. CoRR abs/2407.18964 (2024) - [i56]Santhosh Karnik, Anna Veselovska, Mark A. Iwen, Felix Krahmer:
Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent. CoRR abs/2410.16247 (2024) - 2023
- [j28]Olga Graf
, Felix Krahmer, Sara Krause-Solberg:
One-bit Sigma-Delta modulation on the circle. Adv. Comput. Math. 49(3): 32 (2023) - [j27]Henrik Eisenmann, Felix Krahmer, Max Pfeffer, André Uschmajew:
Riemannian thresholding methods for row-sparse and low-rank matrix recovery. Numer. Algorithms 93(2): 669-693 (2023) - [j26]Felix Krahmer, Anna Veselovska:
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation. SIAM J. Imaging Sci. 16(3): 1727-1761 (2023) - [c20]Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut:
High-Dimensional Confidence Regions in Sparse MRI. ICASSP 2023: 1-5 - [c19]Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut:
Uncertainty Quantification For Learned ISTA. MLSP 2023: 1-6 - [i55]Julia Kostin, Felix Krahmer, Dominik Stöger:
How robust is randomized blind deconvolution via nuclear norm minimization against adversarial noise? CoRR abs/2303.10030 (2023) - [i54]Rohan Joy, Felix Krahmer, Alessandro Lupoli, Radha Ramakrishnan:
On the reconstruction of bandlimited signals from random samples quantized via noise-shaping. CoRR abs/2306.15758 (2023) - [i53]Stefan Bamberger, Reinhard Heckel, Felix Krahmer:
Approximating Positive Homogeneous Functions with Scale Invariant Neural Networks. CoRR abs/2308.02836 (2023) - [i52]Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Hannah Laus, Holger Rauhut:
Uncertainty quantification for learned ISTA. CoRR abs/2309.07982 (2023) - 2022
- [j25]Lutz Kämmerer, Felix Krahmer, Toni Volkmer:
A sample efficient sparse FFT for arbitrary frequency candidate sets in high dimensions. Numer. Algorithms 89(4): 1479-1520 (2022) - [j24]Matthias Beckmann, Ayush Bhandari, Felix Krahmer:
The Modulo Radon Transform: Theory, Algorithms, and Applications. SIAM J. Imaging Sci. 15(2): 455-490 (2022) - [j23]Tim Fuchs, David Gross, Felix Krahmer, Richard Kueng, Dustin G. Mixon:
Sketching with Kerdock's Crayons: Fast Sparsifying Transforms for Arbitrary Linear Maps. SIAM J. Matrix Anal. Appl. 43(2): 939-952 (2022) - [j22]Stefan Bamberger, Felix Krahmer, Rachel A. Ward:
Johnson-Lindenstrauss Embeddings with Kronecker Structure. SIAM J. Matrix Anal. Appl. 43(4): 1806-1850 (2022) - [j21]Dorian Florescu, Felix Krahmer, Ayush Bhandari:
The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments. IEEE Trans. Signal Process. 70: 616-630 (2022) - [j20]Ayush Bhandari, Felix Krahmer, Thomas Poskitt:
Unlimited Sampling From Theory to Practice: Fourier-Prony Recovery and Prototype ADC. IEEE Trans. Signal Process. 70: 1131-1141 (2022) - [j19]Samuel Fernández-Menduiña, Felix Krahmer, Geert Leus, Ayush Bhandari:
Computational Array Signal Processing via Modulo Non-Linearities. IEEE Trans. Signal Process. 70: 2168-2179 (2022) - [i51]Felix Krahmer, Anna Veselovska:
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation. CoRR abs/2202.04986 (2022) - [i50]Maternus Herold, Anna Veselovska, Jonas Jehle, Felix Krahmer:
Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis. CoRR abs/2212.14507 (2022) - [i49]Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut:
Uncertainty quantification for sparse Fourier recovery. CoRR abs/2212.14864 (2022) - 2021
- [j18]Mark A. Iwen, Felix Krahmer, Sara Krause-Solberg, Johannes Maly:
On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds. Discret. Comput. Geom. 65(4): 953-998 (2021) - [j17]Bosu Choi, Mark A. Iwen, Felix Krahmer:
Sparse Harmonic Transforms: A New Class of Sublinear-Time Algorithms for Learning Functions of Many Variables. Found. Comput. Math. 21(2): 275-329 (2021) - [j16]Ayush Bhandari, Felix Krahmer, Ramesh Raskar:
On Unlimited Sampling and Reconstruction. IEEE Trans. Signal Process. 69: 3827-3839 (2021) - [c18]Dorian Florescu, Felix Krahmer, Ayush Bhandari:
Unlimited Sampling with Hysteresis. ACSCC 2021: 831-835 - [c17]Patricia Römer, Frank Filbir, Felix Krahmer:
On the randomized Kaczmarz algorithm for phase retrieval. ACSCC 2021: 847-851 - [c16]Dorian Florescu, Felix Krahmer, Ayush Bhandari:
Event-Driven Modulo Sampling. ICASSP 2021: 5435-5439 - [i48]Henrik Eisenmann, Felix Krahmer, Max Pfeffer, André Uschmajew:
Riemannian thresholding methods for row-sparse and low-rank matrix recovery. CoRR abs/2103.02356 (2021) - [i47]Matthias Beckmann, Ayush Bhandari, Felix Krahmer:
The Modulo Radon Transform: Theory, Algorithms and Applications. CoRR abs/2105.04194 (2021) - [i46]Ayush Bhandari, Felix Krahmer, Thomas Poskitt:
Unlimited Sampling from Theory to Practice: Fourier-Prony Recovery and Prototype ADC. CoRR abs/2105.05818 (2021) - [i45]Tim Fuchs, David Gross, Felix Krahmer, Richard Kueng, Dustin G. Mixon:
Sketching with Kerdock's crayons: Fast sparsifying transforms for arbitrary linear maps. CoRR abs/2105.05879 (2021) - [i44]Tim Fuchs, David Gross, Peter Jung, Felix Krahmer, Richard Kueng, Dominik Stöger:
Proof methods for robust low-rank matrix recovery. CoRR abs/2106.04382 (2021) - [i43]Stefan Bamberger, Felix Krahmer, Rachel A. Ward:
Johnson-Lindenstrauss Embeddings with Kronecker Structure. CoRR abs/2106.13349 (2021) - [i42]Dorian Florescu, Felix Krahmer, Ayush Bhandari:
The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments. CoRR abs/2111.12675 (2021) - 2020
- [c15]Ayush Bhandari, Matthias Beckmann, Felix Krahmer:
The Modulo Radon Transform and its Inversion. EUSIPCO 2020: 770-774 - [c14]Oleh Melnyk, Anton Forstner, Felix Krahmer, Nada Sissouno:
Stable Ptychographic Phase Retrieval via Lost Subspace Completion. EUSIPCO 2020: 975-979 - [c13]Samuel Fernández-Menduiña, Felix Krahmer, Geert Leus, Ayush Bhandari:
DoA Estimation via Unlimited Sensing. EUSIPCO 2020: 1866-1870 - [c12]Vincent Bouis, Felix Krahmer, Ayush Bhandari:
Multidimensional Unlimited Sampling: A Geometrical Perspective. EUSIPCO 2020: 2314-2318 - [c11]Ayush Bhandari, Olga Graf, Felix Krahmer, Ahmed I. Zayed:
One-Bit Sampling in Fractional Fourier Domain. ICASSP 2020: 9140-9144 - [c10]Ayush Bhandari, Felix Krahmer:
HDR Imaging From Quantization Noise. ICIP 2020: 101-105 - [c9]Matthias Beckmann, Felix Krahmer, Ayush Bhandari:
HDR Tomography VIA Modulo Radon Transform. ICIP 2020: 3025-3029 - [i41]Anton Forstner, Felix Krahmer, Oleh Melnyk, Nada Sissouno:
Well conditioned ptychograpic imaging via lost subspace completion. CoRR abs/2004.04458 (2020) - [i40]Frank Filbir, Felix Krahmer, Oleh Melnyk:
On recovery guarantees for angular synchronization. CoRR abs/2005.02032 (2020) - [i39]Zhen Gao, Felix Krahmer, Alexander M. Powell:
High order low-bit Sigma-Delta quantization for fusion frames. CoRR abs/2006.09732 (2020) - [i38]Lutz Kämmerer, Felix Krahmer, Toni Volkmer:
A sample efficient sparse FFT for arbitrary frequency candidate sets in high dimensions. CoRR abs/2006.13053 (2020) - [i37]Felix Krahmer, Christian Kümmerle, Oleh Melnyk:
On the robustness of noise-blind low-rank recovery from rank-one measurements. CoRR abs/2010.12402 (2020)
2010 – 2019
- 2019
- [j15]Jakob Geppert, Felix Krahmer, Dominik Stöger:
Sparse power factorization: balancing peakiness and sample complexity. Adv. Comput. Math. 45(3): 1711-1728 (2019) - [c8]Olga Graf, Ayush Bhandari, Felix Krahmer:
One-bit Unlimited Sampling. ICASSP 2019: 5102-5106 - [i36]Felix Krahmer, Dominik Stöger:
On the convex geometry of blind deconvolution and matrix completion. CoRR abs/1902.11156 (2019) - [i35]Ayush Bhandari, Felix Krahmer, Ramesh Raskar:
On Unlimited Sampling and Reconstruction. CoRR abs/1905.03901 (2019) - [i34]Felix Krahmer, Dominik Stöger:
Complex phase retrieval from subgaussian measurements. CoRR abs/1906.08385 (2019) - [i33]Olivier Guédon, Felix Krahmer, Christian Kümmerle, Shahar Mendelson, Holger Rauhut:
On the geometry of polytopes generated by heavy-tailed random vectors. CoRR abs/1907.07258 (2019) - [i32]Felix Krahmer, Christian Kühn, Nada Sissouno:
Predicting sparse circle maps from their dynamics. CoRR abs/1911.06312 (2019) - 2018
- [j14]Björn Bringmann, Daniel Cremers, Felix Krahmer, Michael Möller:
The homotopy method revisited: Computing solution paths of ℓ1-regularized problems. Math. Comput. 87(313): 2343-2364 (2018) - [j13]Kiryung Lee, Felix Krahmer, Justin Romberg:
Spectral Methods for Passive Imaging: Nonasymptotic Performance and Robustness. SIAM J. Imaging Sci. 11(3): 2110-2164 (2018) - [j12]Felix Krahmer, Yi-Kai Liu:
Phase Retrieval Without Small-Ball Probability Assumptions. IEEE Trans. Inf. Theory 64(1): 485-500 (2018) - [j11]Peter Jung, Felix Krahmer, Dominik Stöger:
Blind Demixing and Deconvolution at Near-Optimal Rate. IEEE Trans. Inf. Theory 64(2): 704-727 (2018) - [c7]Felix Krahmer, Dominik Stöger:
Blind Deconvolution: Convex Geometry and Noise Robustness. ACSSC 2018: 643-646 - [c6]Ayush Bhandari, Felix Krahmer, Ramesh Raskar:
Unlimited Sampling of Sparse Signals. ICASSP 2018: 4569-4573 - [c5]Ayush Bhandari, Felix Krahmer, Ramesh Raskar:
Unlimited Sampling of Sparse Sinusoidal Mixtures. ISIT 2018: 336-340 - [c4]Sara Krause-Solberg, Olga Graf, Felix Krahmer:
One-Bit Sigma-Delta Modulation on a Closed Loop. SSP 2018: 208-212 - [c3]Dominik Stöger, Jakob Geppert, Felix Krahmer:
Sparse Power Factorization With Refined Peakiness Conditions. SSP 2018: 816-820 - [i31]Jakob Geppert, Felix Krahmer, Dominik Stöger:
Sparse Power Factorization: Balancing peakiness and sample complexity. CoRR abs/1804.09097 (2018) - [i30]Michael Moeller, Otmar Loffeld, Juergen Gall, Felix Krahmer:
Are good local minima wide in sparse recovery? CoRR abs/1806.08296 (2018) - [i29]Mark A. Iwen, Felix Krahmer, Sara Krause-Solberg, Johannes Maly:
On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds. CoRR abs/1807.06490 (2018) - 2017
- [j10]Michael Kech, Felix Krahmer:
Optimal Injectivity Conditions for Bilinear Inverse Problems with Applications to Identifiability of Deconvolution Problems. SIAM J. Appl. Algebra Geom. 1(1): 20-37 (2017) - [c2]Dominik Stöger, Peter Jung, Felix Krahmer:
Blind Demixing and Deconvolution with Noisy Data: Near-optimal Rate. WSA 2017: 1-5 - [i28]Joe-Mei Feng, Felix Krahmer, Rayan Saab:
Quantized Compressed Sensing for Partial Random Circulant Matrices. CoRR abs/1702.04711 (2017) - [i27]Felix Krahmer, Christian Kruschel, Michael Sandbichler:
Total Variation Minimization in Compressed Sensing. CoRR abs/1704.02105 (2017) - [i26]Peter Jung, Felix Krahmer, Dominik Stöger:
Blind Demixing and Deconvolution at Near-Optimal Rate. CoRR abs/1704.04178 (2017) - [i25]Ayush Bhandari, Felix Krahmer, Ramesh Raskar:
On Unlimited Sampling. CoRR abs/1707.06340 (2017) - [i24]Kiryung Lee, Felix Krahmer, Justin Romberg:
Spectral Methods for Passive Imaging: Non-asymptotic Performance and Robustness. CoRR abs/1708.04343 (2017) - [i23]Stefan Bamberger, Felix Krahmer:
Optimal Fast Johnson-Lindenstrauss Embeddings for Large Data Sets. CoRR abs/1712.01774 (2017) - 2016
- [c1]Cagdas Ulas, Pedro A. Gómez, Felix Krahmer, Jonathan I. Sperl, Marion I. Menzel, Bjoern H. Menze:
Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal Constraints. RAMBO+HVSMR@MICCAI 2016: 37-47 - [i22]Michael Kech, Felix Krahmer:
Optimal Injectivity Conditions for Bilinear Inverse Problems with Applications to Identifiability of Deconvolution Problems. CoRR abs/1603.07316 (2016) - [i21]Felix Krahmer, Yi-Kai Liu:
Phase Retrieval Without Small-Ball Probability Assumptions. CoRR abs/1604.07281 (2016) - 2015
- [j9]Michael Sandbichler, Felix Krahmer, Thomas Berer, Peter Burgholzer, Markus Haltmeier:
A Novel Compressed Sensing Scheme for Photoacoustic Tomography. SIAM J. Appl. Math. 75(6): 2475-2494 (2015) - [j8]Felix Krahmer, Deanna Needell, Rachel A. Ward:
Compressive Sensing with Redundant Dictionaries and Structured Measurements. SIAM J. Math. Anal. 47(6): 4606-4629 (2015) - [i20]Felix Krahmer, Deanna Needell, Rachel A. Ward:
Compressive Sensing with Redundant Dictionaries and Structured Measurements. CoRR abs/1501.03208 (2015) - [i19]Michael Sandbichler, Felix Krahmer, Thomas Berer, Peter Burgholzer, Markus Haltmeier:
A Novel Compressed Sensing Scheme for Photoacoustic Tomography. CoRR abs/1501.04305 (2015) - [i18]Evan Chou, C. Sinan Güntürk, Felix Krahmer, Rayan Saab, Özgür Yilmaz:
Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems. CoRR abs/1502.05807 (2015) - 2014
- [j7]Felix Krahmer, Gitta Kutyniok, Jakob Lemvig:
Sparse matrices in frame theory. Comput. Stat. 29(3): 547-568 (2014) - [j6]Joe-Mei Feng, Felix Krahmer:
An RIP-Based Approach to Σ Δ Quantization for Compressed Sensing. IEEE Signal Process. Lett. 21(11): 1351-1355 (2014) - [j5]Felix Krahmer, Rachel A. Ward:
Stable and Robust Sampling Strategies for Compressive Imaging. IEEE Trans. Image Process. 23(2): 612-622 (2014) - [i17]Felix Krahmer, Holger Rauhut:
Structured random measurements in signal processing. CoRR abs/1401.1106 (2014) - [i16]David Gross, Felix Krahmer, Richard Kueng:
Improved Recovery Guarantees for Phase Retrieval from Coded Diffraction Patterns. CoRR abs/1402.6286 (2014) - [i15]Joe-Mei Feng, Felix Krahmer:
An RIP-based approach to $ΣΔ$ quantization for compressed sensing. CoRR abs/1405.0237 (2014) - [i14]Petros T. Boufounos, Laurent Jacques, Felix Krahmer, Rayan Saab:
Quantization and Compressive Sensing. CoRR abs/1405.1194 (2014) - 2013
- [i13]Felix Krahmer, Rayan Saab, Özgür Yilmaz:
Sigma-Delta quantization of sub-Gaussian frame expansions and its application to compressed sensing. CoRR abs/1306.4549 (2013) - [i12]David Gross, Felix Krahmer, Richard Kueng:
A Partial Derandomization of PhaseLift using Spherical Designs. CoRR abs/1310.2267 (2013) - [i11]Mark A. Iwen, Felix Krahmer:
Fast Subspace Approximation via Greedy Least-Squares. CoRR abs/1312.1413 (2013) - 2012
- [j4]Michael A. Burr, Felix Krahmer:
SqFreeEVAL: An (almost) optimal real-root isolation algorithm. J. Symb. Comput. 47(2): 153-166 (2012) - [j3]Felix Krahmer, Rayan Saab, Rachel A. Ward:
Root-Exponential Accuracy for Coarse Quantization of Finite Frame Expansions. IEEE Trans. Inf. Theory 58(2): 1069-1079 (2012) - [i10]Felix Krahmer, Shahar Mendelson, Holger Rauhut:
Suprema of Chaos Processes and the Restricted Isometry Property. CoRR abs/1207.0235 (2012) - [i9]Felix Krahmer, Rachel A. Ward:
Compressive imaging: stable and robust recovery from variable density frequency samples. CoRR abs/1210.2380 (2012) - [i8]Felix Krahmer, Götz E. Pfander:
Local sampling and approximation of operators with bandlimited Kohn-Nirenberg symbols. CoRR abs/1211.6048 (2012) - 2011
- [j2]Felix Krahmer, Rachel A. Ward:
New and Improved Johnson-Lindenstrauss Embeddings via the Restricted Isometry Property. SIAM J. Math. Anal. 43(3): 1269-1281 (2011) - [j1]Peter G. Casazza, Andreas Heinecke, Felix Krahmer, Gitta Kutyniok:
Optimally Sparse Frames. IEEE Trans. Inf. Theory 57(11): 7279-7287 (2011) - [i7]Michael A. Burr, Felix Krahmer:
SqFreeEVAL: An (almost) optimal real-root isolation algorithm. CoRR abs/1102.5266 (2011) - 2010
- [i6]Percy Deift, C. Sinan Güntürk, Felix Krahmer:
An Optimal Family of Exponentially Accurate One-Bit Sigma-Delta Quantization Schemes. CoRR abs/1001.5079 (2010) - [i5]Felix Krahmer, Rachel A. Ward:
Lower bounds for the error decay incurred by coarse quantization schemes. CoRR abs/1004.3517 (2010) - [i4]Felix Krahmer, Rachel A. Ward:
New and improved Johnson-Lindenstrauss embeddings via the Restricted Isometry Property. CoRR abs/1009.0744 (2010) - [i3]Peter G. Casazza, Andreas Heinecke, Felix Krahmer, Gitta Kutyniok:
Optimally Sparse Frames. CoRR abs/1009.3663 (2010)
2000 – 2009
- 2009
- [i2]Michael A. Burr, Felix Krahmer, Chee Yap:
Continuous Amortization: A Non-Probabilistic Adaptive Analysis Technique. Electron. Colloquium Comput. Complex. TR09 (2009) - 2008
- [i1]Felix Krahmer, Götz E. Pfander, Peter Rashkov:
An open question on the existence of Gabor frames in general linear position. Structured Decompositions and Efficient Algorithms 2008
Coauthor Index
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