Felix Krahmer

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 79

Top Venues

CoRR

ICASSP

IEEE Trans. Signal Process.

EUSIPCO

Publications

Felix Krahmer, Anna Veselovska
The Mathematics of Dots and Pixels: On the Theoretical Foundations of Image Halftoning. CoRR (2024)
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning. CoRR (2024)
Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion I. Menzel, Holger Rauhut
With or Without Replacement? Improving Confidence in Fourier Imaging. CoRR (2024)
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
High-Dimensional Confidence Regions in Sparse MRI. CoRR (2024)
Claudio Mayrink Verdun, Oleh Melnyk, Felix Krahmer, Peter Jung
Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence. COLT (2024)
Stefan Bamberger, Reinhard Heckel, Felix Krahmer
Approximating Positive Homogeneous Functions with Scale Invariant Neural Networks. CoRR (2023)
Olga Graf, Felix Krahmer, Sara Krause-Solberg
One-bit Sigma-Delta modulation on the circle. Adv. Comput. Math. 49 (3) (2023)
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
High-Dimensional Confidence Regions in Sparse MRI. ICASSP (2023)
Henrik Eisenmann, Felix Krahmer, Max Pfeffer, André Uschmajew
Riemannian thresholding methods for row-sparse and low-rank matrix recovery. Numer. Algorithms 93 (2) (2023)
Rohan Joy, Felix Krahmer, Alessandro Lupoli, Radha Ramakrishnan
On the reconstruction of bandlimited signals from random samples quantized via noise-shaping. CoRR (2023)
Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Hannah Laus, Holger Rauhut
Uncertainty quantification for learned ISTA. CoRR (2023)
Julia Kostin, Felix Krahmer, Dominik Stöger
How robust is randomized blind deconvolution via nuclear norm minimization against adversarial noise? CoRR (2023)
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
Uncertainty Quantification For Learned ISTA. MLSP (2023)
Felix Krahmer, Anna Veselovska
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation. SIAM J. Imaging Sci. 16 (3) (2023)
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) (2022)
Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
Uncertainty quantification for sparse Fourier recovery. CoRR (2022)
Dorian Florescu, Felix Krahmer, Ayush Bhandari
The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments. IEEE Trans. Signal Process. 70 (2022)
Lutz Kämmerer, Felix Krahmer, Toni Volkmer
A sample efficient sparse FFT for arbitrary frequency candidate sets in high dimensions. Numer. Algorithms 89 (4) (2022)
Ayush Bhandari, Felix Krahmer, Thomas Poskitt
Unlimited Sampling From Theory to Practice: Fourier-Prony Recovery and Prototype ADC. IEEE Trans. Signal Process. 70 (2022)
Samuel Fernández-Menduiña, Felix Krahmer, Geert Leus, Ayush Bhandari
Computational Array Signal Processing via Modulo Non-Linearities. IEEE Trans. Signal Process. 70 (2022)
Maternus Herold, Anna Veselovska, Jonas Jehle, Felix Krahmer
Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis. CoRR (2022)
Felix Krahmer, Anna Veselovska
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation. CoRR (2022)
Stefan Bamberger, Felix Krahmer, Rachel Ward
Johnson-Lindenstrauss Embeddings with Kronecker Structure. SIAM J. Matrix Anal. Appl. 43 (4) (2022)
Matthias Beckmann, Ayush Bhandari, Felix Krahmer
The Modulo Radon Transform: Theory, Algorithms, and Applications. SIAM J. Imaging Sci. 15 (2) (2022)
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) (2021)
Matthias Beckmann, Ayush Bhandari, Felix Krahmer
The Modulo Radon Transform: Theory, Algorithms and Applications. CoRR (2021)
Henrik Eisenmann, Felix Krahmer, Max Pfeffer, André Uschmajew
Riemannian thresholding methods for row-sparse and low-rank matrix recovery. CoRR (2021)
Ayush Bhandari, Felix Krahmer, Ramesh Raskar
On Unlimited Sampling and Reconstruction. IEEE Trans. Signal Process. 69 (2021)
Patricia Römer, Frank Filbir, Felix Krahmer
On the randomized Kaczmarz algorithm for phase retrieval. ACSCC (2021)
Ayush Bhandari, Felix Krahmer, Thomas Poskitt
Unlimited Sampling from Theory to Practice: Fourier-Prony Recovery and Prototype ADC. CoRR (2021)
Stefan Bamberger, Felix Krahmer, Rachel Ward
Johnson-Lindenstrauss Embeddings with Kronecker Structure. CoRR (2021)
Dorian Florescu, Felix Krahmer, Ayush Bhandari
Unlimited Sampling with Hysteresis. ACSCC (2021)
Dorian Florescu, Felix Krahmer, Ayush Bhandari
Event-Driven Modulo Sampling. ICASSP (2021)
Tim Fuchs, David Gross, Peter Jung, Felix Krahmer, Richard Kueng, Dominik Stöger
Proof methods for robust low-rank matrix recovery. CoRR (2021)
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) (2021)
Dorian Florescu, Felix Krahmer, Ayush Bhandari
The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments. CoRR (2021)
Tim Fuchs, David Gross, Felix Krahmer, Richard Kueng, Dustin G. Mixon
Sketching with Kerdock's crayons: Fast sparsifying transforms for arbitrary linear maps. CoRR (2021)
Lutz Kämmerer, Felix Krahmer, Toni Volkmer
A sample efficient sparse FFT for arbitrary frequency candidate sets in high dimensions. CoRR (2020)
Frank Filbir, Felix Krahmer, Oleh Melnyk
On recovery guarantees for angular synchronization. CoRR (2020)
Felix Krahmer, Christian Kümmerle, Oleh Melnyk
On the robustness of noise-blind low-rank recovery from rank-one measurements. CoRR (2020)
Anton Forstner, Felix Krahmer, Oleh Melnyk, Nada Sissouno
Well conditioned ptychograpic imaging via lost subspace completion. CoRR (2020)
Ayush Bhandari, Matthias Beckmann, Felix Krahmer
The Modulo Radon Transform and its Inversion. EUSIPCO (2020)
Ayush Bhandari, Felix Krahmer
HDR Imaging From Quantization Noise. ICIP (2020)
Ayush Bhandari, Olga Graf, Felix Krahmer, Ahmed I. Zayed
One-Bit Sampling in Fractional Fourier Domain. ICASSP (2020)
Oleh Melnyk, Anton Forstner, Felix Krahmer, Nada Sissouno
Stable Ptychographic Phase Retrieval via Lost Subspace Completion. EUSIPCO (2020)
Matthias Beckmann, Felix Krahmer, Ayush Bhandari
HDR Tomography VIA Modulo Radon Transform. ICIP (2020)
Vincent Bouis, Felix Krahmer, Ayush Bhandari
Multidimensional Unlimited Sampling: A Geometrical Perspective. EUSIPCO (2020)
Samuel Fernández-Menduiña, Felix Krahmer, Geert Leus, Ayush Bhandari
DoA Estimation via Unlimited Sensing. EUSIPCO (2020)
Zhen Gao, Felix Krahmer, Alexander M. Powell
High order low-bit Sigma-Delta quantization for fusion frames. CoRR (2020)
Ayush Bhandari, Felix Krahmer, Ramesh Raskar
On Unlimited Sampling and Reconstruction. CoRR (2019)
Olga Graf, Ayush Bhandari, Felix Krahmer
One-bit Unlimited Sampling. ICASSP (2019)
Olivier Guédon, Felix Krahmer, Christian Kümmerle, Shahar Mendelson, Holger Rauhut
On the geometry of polytopes generated by heavy-tailed random vectors. CoRR (2019)
Felix Krahmer, Dominik Stöger
On the convex geometry of blind deconvolution and matrix completion. CoRR (2019)
Jakob Geppert, Felix Krahmer, Dominik Stöger
Sparse power factorization: balancing peakiness and sample complexity. Adv. Comput. Math. 45 (3) (2019)
Felix Krahmer, Dominik Stöger
Complex phase retrieval from subgaussian measurements. CoRR (2019)
Felix Krahmer, Christian Kühn, Nada Sissouno
Predicting sparse circle maps from their dynamics. CoRR (2019)
Kiryung Lee, Felix Krahmer, Justin Romberg
Spectral Methods for Passive Imaging: Nonasymptotic Performance and Robustness. SIAM J. Imaging Sci. 11 (3) (2018)
Ayush Bhandari, Felix Krahmer, Ramesh Raskar
Unlimited Sampling of Sparse Signals. ICASSP (2018)
Felix Krahmer, Yi-Kai Liu
Phase Retrieval Without Small-Ball Probability Assumptions. IEEE Trans. Inf. Theory 64 (1) (2018)
Sara Krause-Solberg, Olga Graf, Felix Krahmer
One-Bit Sigma-Delta Modulation on a Closed Loop. SSP (2018)
Dominik Stöger, Jakob Geppert, Felix Krahmer
Sparse Power Factorization With Refined Peakiness Conditions. SSP (2018)
Jakob Geppert, Felix Krahmer, Dominik Stöger
Sparse Power Factorization: Balancing peakiness and sample complexity. CoRR (2018)
Ayush Bhandari, Felix Krahmer, Ramesh Raskar
Unlimited Sampling of Sparse Sinusoidal Mixtures. ISIT (2018)
Mark A. Iwen, Felix Krahmer, Sara Krause-Solberg, Johannes Maly
On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds. CoRR (2018)
Michael Moeller, Otmar Loffeld, Juergen Gall, Felix Krahmer
Are good local minima wide in sparse recovery? CoRR (2018)
Felix Krahmer, Dominik Stöger
Blind Deconvolution: Convex Geometry and Noise Robustness. ACSSC (2018)
Peter Jung, Felix Krahmer, Dominik Stöger
Blind Demixing and Deconvolution at Near-Optimal Rate. IEEE Trans. Inf. Theory 64 (2) (2018)
Björn Bringmann, Daniel Cremers, Felix Krahmer, Michael Möller
-regularized problems. Math. Comput. 87 (313) (2018)
Dominik Stöger, Peter Jung, Felix Krahmer
Blind Demixing and Deconvolution with Noisy Data: Near-optimal Rate. WSA (2017)
Peter Jung, Felix Krahmer, Dominik Stöger
Blind Demixing and Deconvolution at Near-Optimal Rate. CoRR (2017)
Ayush Bhandari, Felix Krahmer, Ramesh Raskar
On Unlimited Sampling. CoRR (2017)
Kiryung Lee, Felix Krahmer, Justin Romberg
Spectral Methods for Passive Imaging: Non-asymptotic Performance and Robustness. CoRR (2017)
Felix Krahmer, Christian Kruschel, Michael Sandbichler
Total Variation Minimization in Compressed Sensing. CoRR (2017)
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) (2017)
Stefan Bamberger, Felix Krahmer
Optimal Fast Johnson-Lindenstrauss Embeddings for Large Data Sets. CoRR (2017)
Joe-Mei Feng, Felix Krahmer, Rayan Saab
Quantized Compressed Sensing for Partial Random Circulant Matrices. CoRR (2017)
Michael Kech, Felix Krahmer
Optimal Injectivity Conditions for Bilinear Inverse Problems with Applications to Identifiability of Deconvolution Problems. CoRR (2016)
Felix Krahmer, Yi-Kai Liu
Phase Retrieval Without Small-Ball Probability Assumptions. CoRR (2016)
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)
Felix Krahmer, Deanna Needell, Rachel Ward
Compressive Sensing with Redundant Dictionaries and Structured Measurements. SIAM J. Math. Anal. 47 (6) (2015)
Felix Krahmer, Deanna Needell, Rachel Ward
Compressive Sensing with Redundant Dictionaries and Structured Measurements. CoRR (2015)
Michael Sandbichler, Felix Krahmer, Thomas Berer, Peter Burgholzer, Markus Haltmeier
A Novel Compressed Sensing Scheme for Photoacoustic Tomography. SIAM J. Appl. Math. 75 (6) (2015)
Michael Sandbichler, Felix Krahmer, Thomas Berer, Peter Burgholzer, Markus Haltmeier
A Novel Compressed Sensing Scheme for Photoacoustic Tomography. CoRR (2015)
Evan Chou, C. Sinan Güntürk, Felix Krahmer, Rayan Saab, Özgür Yilmaz
Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems. CoRR (2015)
Joe-Mei Feng, Felix Krahmer
An RIP-Based Approach to Σ Δ Quantization for Compressed Sensing. IEEE Signal Process. Lett. 21 (11) (2014)
David Gross, Felix Krahmer, Richard Kueng
Improved Recovery Guarantees for Phase Retrieval from Coded Diffraction Patterns. CoRR (2014)
Felix Krahmer, Rachel Ward
Stable and Robust Sampling Strategies for Compressive Imaging. IEEE Trans. Image Process. 23 (2) (2014)
Felix Krahmer, Gitta Kutyniok, Jakob Lemvig
Sparse matrices in frame theory. Comput. Stat. 29 (3) (2014)
Joe-Mei Feng, Felix Krahmer
An RIP-based approach to $ΣΔ$ quantization for compressed sensing. CoRR (2014)
Felix Krahmer, Holger Rauhut
Structured random measurements in signal processing. CoRR (2014)
Petros T. Boufounos, Laurent Jacques, Felix Krahmer, Rayan Saab
Quantization and Compressive Sensing. CoRR (2014)
Mark A. Iwen, Felix Krahmer
Fast Subspace Approximation via Greedy Least-Squares. CoRR (2013)
David Gross, Felix Krahmer, Richard Kueng
A Partial Derandomization of PhaseLift using Spherical Designs. CoRR (2013)
Felix Krahmer, Rayan Saab, Özgür Yilmaz
Sigma-Delta quantization of sub-Gaussian frame expansions and its application to compressed sensing. CoRR (2013)
Felix Krahmer, Rayan Saab, Rachel Ward
Root-Exponential Accuracy for Coarse Quantization of Finite Frame Expansions. IEEE Trans. Inf. Theory 58 (2) (2012)
Felix Krahmer, Shahar Mendelson, Holger Rauhut
Suprema of Chaos Processes and the Restricted Isometry Property CoRR (2012)
Felix Krahmer, Götz E. Pfander
Local sampling and approximation of operators with bandlimited Kohn-Nirenberg symbols CoRR (2012)
Michael A. Burr, Felix Krahmer
SqFreeEVAL: An (almost) optimal real-root isolation algorithm. J. Symb. Comput. 47 (2) (2012)
Felix Krahmer, Rachel Ward
Compressive imaging: stable and robust recovery from variable density frequency samples CoRR (2012)
Felix Krahmer, Rachel Ward
New and Improved Johnson-Lindenstrauss Embeddings via the Restricted Isometry Property. SIAM J. Math. Anal. 43 (3) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Felix Krahmer