An open question on the existence of Gabor frames in general linear position. - Felix Krahmer; Götz E. Pfander; Peter Rashkov (Structured Decompositions and Efficient Algorithms, 2008)

Continuous Amortization: A Non-Probabilistic Adaptive Analysis Technique. - Michael A. Burr; Felix Krahmer; Chee Yap (Electron. Colloquium Comput. Complex., 2009)

An Optimal Family of Exponentially Accurate One-Bit Sigma-Delta Quantization Schemes - Percy Deift; C. Sinan Güntürk; Felix Krahmer (CoRR, 2010)

Lower bounds for the error decay incurred by coarse quantization schemes - Felix Krahmer; Rachel A. Ward (CoRR, 2010)

New and Improved Johnson-Lindenstrauss Embeddings via the Restricted Isometry Property. - Felix Krahmer; Rachel A. Ward (SIAM J. Math. Anal., 2011)

Optimally Sparse Frames. - Peter G. Casazza; Andreas Heinecke; Felix Krahmer; Gitta Kutyniok (IEEE Trans. Inf. Theory, 2011)

Suprema of Chaos Processes and the Restricted Isometry Property - Felix Krahmer; Shahar Mendelson; Holger Rauhut (CoRR, 2012)

Compressive imaging: stable and robust recovery from variable density frequency samples - Felix Krahmer; Rachel A. Ward (CoRR, 2012)

Local sampling and approximation of operators with bandlimited Kohn-Nirenberg symbols - Felix Krahmer; Götz E. Pfander (CoRR, 2012)

SqFreeEVAL: An (almost) optimal real-root isolation algorithm. - Michael A. Burr; Felix Krahmer (J. Symb. Comput., 2012)

Root-Exponential Accuracy for Coarse Quantization of Finite Frame Expansions. - Felix Krahmer; Rayan Saab; Rachel A. Ward (IEEE Trans. Inf. Theory, 2012)

A Partial Derandomization of PhaseLift using Spherical Designs. - David Gross 003; Felix Krahmer; Richard Kueng (CoRR, 2013)

Fast Subspace Approximation via Greedy Least-Squares. - Mark A. Iwen; Felix Krahmer (CoRR, 2013)

Sigma-Delta quantization of sub-Gaussian frame expansions and its application to compressed sensing. - Felix Krahmer; Rayan Saab; Özgür Yilmaz (CoRR, 2013)

Quantization and Compressive Sensing. - Petros T. Boufounos; Laurent Jacques; Felix Krahmer; Rayan Saab (CoRR, 2014)

An RIP-based approach to $ΣΔ$ quantization for compressed sensing. - Joe-Mei Feng; Felix Krahmer (CoRR, 2014)

Improved Recovery Guarantees for Phase Retrieval from Coded Diffraction Patterns. - David Gross 003; Felix Krahmer; Richard Kueng (CoRR, 2014)

Structured random measurements in signal processing. - Felix Krahmer; Holger Rauhut (CoRR, 2014)

Sparse matrices in frame theory. - Felix Krahmer; Gitta Kutyniok; Jakob Lemvig (Comput. Stat., 2014)

An RIP-Based Approach to Σ Δ Quantization for Compressed Sensing. - Joe-Mei Feng; Felix Krahmer (IEEE Signal Process. Lett., 2014)

Stable and Robust Sampling Strategies for Compressive Imaging. - Felix Krahmer; Rachel A. Ward (IEEE Trans. Image Process., 2014)

Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems. - Evan Chou; C. Sinan Güntürk; Felix Krahmer; Rayan Saab; Özgür Yilmaz (CoRR, 2015)

A Novel Compressed Sensing Scheme for Photoacoustic Tomography. - Michael Sandbichler; Felix Krahmer; Thomas Berer; Peter Burgholzer; Markus Haltmeier (SIAM J. Appl. Math., 2015)

Compressive Sensing with Redundant Dictionaries and Structured Measurements. - Felix Krahmer; Deanna Needell; Rachel A. Ward (SIAM J. Math. Anal., 2015)

Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal Constraints. - Cagdas Ulas; Pedro A. Gómez; Felix Krahmer; Jonathan I. Sperl; Marion I. Menzel; Bjoern H. Menze (RAMBO+HVSMR@MICCAI, 2016)

Blind Demixing and Deconvolution with Noisy Data: Near-optimal Rate. - Dominik Stöger; Peter Jung 001; Felix Krahmer (WSA, 2017)

On Unlimited Sampling. - Ayush Bhandari; Felix Krahmer; Ramesh Raskar (CoRR, 2017)

Quantized Compressed Sensing for Partial Random Circulant Matrices. - Joe-Mei Feng; Felix Krahmer; Rayan Saab (CoRR, 2017)

Total Variation Minimization in Compressed Sensing. - Felix Krahmer; Christian Kruschel; Michael Sandbichler (CoRR, 2017)

Spectral Methods for Passive Imaging: Non-asymptotic Performance and Robustness. - Kiryung Lee; Felix Krahmer; Justin Romberg (CoRR, 2017)

Optimal Fast Johnson-Lindenstrauss Embeddings for Large Data Sets. - Stefan Bamberger; Felix Krahmer (CoRR, 2017)

Optimal Injectivity Conditions for Bilinear Inverse Problems with Applications to Identifiability of Deconvolution Problems. - Michael Kech; Felix Krahmer (SIAM J. Appl. Algebra Geom., 2017)

Blind Deconvolution: Convex Geometry and Noise Robustness. - Felix Krahmer; Dominik Stöger (ACSSC, 2018)

Unlimited Sampling of Sparse Signals. - Ayush Bhandari; Felix Krahmer; Ramesh Raskar (ICASSP, 2018)

Unlimited Sampling of Sparse Sinusoidal Mixtures. - Ayush Bhandari; Felix Krahmer; Ramesh Raskar (ISIT, 2018)

One-Bit Sigma-Delta Modulation on a Closed Loop. - Sara Krause-Solberg; Olga Graf; Felix Krahmer (SSP, 2018)

Sparse Power Factorization With Refined Peakiness Conditions. - Dominik Stöger; Jakob Geppert; Felix Krahmer (SSP, 2018)

Are good local minima wide in sparse recovery? - Michael Moeller 001; Otmar Loffeld; Juergen Gall; Felix Krahmer (CoRR, 2018)

The homotopy method revisited: Computing solution paths of ℓ1-regularized problems. - Björn Bringmann; Daniel Cremers; Felix Krahmer; Michael Möller 001 (Math. Comput., 2018)

Spectral Methods for Passive Imaging: Nonasymptotic Performance and Robustness. - Kiryung Lee; Felix Krahmer; Justin Romberg (SIAM J. Imaging Sci., 2018)

Blind Demixing and Deconvolution at Near-Optimal Rate. - Peter Jung 001; Felix Krahmer; Dominik Stöger (IEEE Trans. Inf. Theory, 2018)

Phase Retrieval Without Small-Ball Probability Assumptions. - Felix Krahmer; Yi-Kai Liu 001 (IEEE Trans. Inf. Theory, 2018)

One-bit Unlimited Sampling. - Olga Graf; Ayush Bhandari; Felix Krahmer (ICASSP, 2019)

Sparse power factorization: balancing peakiness and sample complexity. - Jakob Geppert; Felix Krahmer; Dominik Stöger (Adv. Comput. Math., 2019)

On the convex geometry of blind deconvolution and matrix completion. - Felix Krahmer; Dominik Stöger (CoRR, 2019)

Complex phase retrieval from subgaussian measurements. - Felix Krahmer; Dominik Stöger (CoRR, 2019)

On the geometry of polytopes generated by heavy-tailed random vectors. - Olivier Guédon; Felix Krahmer; Christian Kümmerle; Shahar Mendelson; Holger Rauhut (CoRR, 2019)

Predicting sparse circle maps from their dynamics. - Felix Krahmer; Christian Kühn; Nada Sissouno (CoRR, 2019)

The Modulo Radon Transform and its Inversion. - Ayush Bhandari; Matthias Beckmann; Felix Krahmer (EUSIPCO, 2020)

Multidimensional Unlimited Sampling: A Geometrical Perspective. - Vincent Bouis; Felix Krahmer; Ayush Bhandari (EUSIPCO, 2020)

DoA Estimation via Unlimited Sensing. - Samuel Fernández-Menduiña; Felix Krahmer; Geert Leus; Ayush Bhandari (EUSIPCO, 2020)

Stable Ptychographic Phase Retrieval via Lost Subspace Completion. - Oleh Melnyk; Anton Forstner; Felix Krahmer; Nada Sissouno (EUSIPCO, 2020)

One-Bit Sampling in Fractional Fourier Domain. - Ayush Bhandari; Olga Graf; Felix Krahmer; Ahmed I. Zayed (ICASSP, 2020)

HDR Tomography VIA Modulo Radon Transform. - Matthias Beckmann; Felix Krahmer; Ayush Bhandari (ICIP, 2020)

HDR Imaging From Quantization Noise. - Ayush Bhandari; Felix Krahmer (ICIP, 2020)

Well conditioned ptychograpic imaging via lost subspace completion. - Anton Forstner; Felix Krahmer; Oleh Melnyk; Nada Sissouno (CoRR, 2020)

On recovery guarantees for angular synchronization. - Frank Filbir; Felix Krahmer; Oleh Melnyk (CoRR, 2020)

High order low-bit Sigma-Delta quantization for fusion frames. - Zhen Gao; Felix Krahmer; Alexander M. Powell (CoRR, 2020)

On the robustness of noise-blind low-rank recovery from rank-one measurements. - Felix Krahmer; Christian Kümmerle; Oleh Melnyk (CoRR, 2020)

Unlimited Sampling with Hysteresis. - Dorian Florescu; Felix Krahmer; Ayush Bhandari (ACSCC, 2021)

On the randomized Kaczmarz algorithm for phase retrieval. - Patricia Römer; Frank Filbir; Felix Krahmer (ACSCC, 2021)

Event-Driven Modulo Sampling. - Dorian Florescu; Felix Krahmer; Ayush Bhandari (ICASSP, 2021)

Proof methods for robust low-rank matrix recovery. - Tim Fuchs; David Gross 003; Peter Jung 001; Felix Krahmer; Richard Kueng; Dominik Stöger (CoRR, 2021)

On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds. - Mark A. Iwen; Felix Krahmer; Sara Krause-Solberg; Johannes Maly (Discret. Comput. Geom., 2021)

Sparse Harmonic Transforms: A New Class of Sublinear-Time Algorithms for Learning Functions of Many Variables. - Bosu Choi; Mark A. Iwen; Felix Krahmer (Found. Comput. Math., 2021)

On Unlimited Sampling and Reconstruction. - Ayush Bhandari; Felix Krahmer; Ramesh Raskar (IEEE Trans. Signal Process., 2021)

Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis. - Maternus Herold; Anna Veselovska; Jonas Jehle; Felix Krahmer (CoRR, 2022)

Uncertainty quantification for sparse Fourier recovery. - Frederik Hoppe; Felix Krahmer; Claudio Mayrink Verdun; Marion I. Menzel; Holger Rauhut (CoRR, 2022)

A sample efficient sparse FFT for arbitrary frequency candidate sets in high dimensions. - Lutz Kämmerer; Felix Krahmer; Toni Volkmer (Numer. Algorithms, 2022)

The Modulo Radon Transform: Theory, Algorithms, and Applications. - Matthias Beckmann; Ayush Bhandari; Felix Krahmer (SIAM J. Imaging Sci., 2022)

Sketching with Kerdock's Crayons: Fast Sparsifying Transforms for Arbitrary Linear Maps. - Tim Fuchs; David Gross 003; Felix Krahmer; Richard Kueng; Dustin G. Mixon (SIAM J. Matrix Anal. Appl., 2022)

Unlimited Sampling From Theory to Practice: Fourier-Prony Recovery and Prototype ADC. - Ayush Bhandari; Felix Krahmer; Thomas Poskitt (IEEE Trans. Signal Process., 2022)

Computational Array Signal Processing via Modulo Non-Linearities. - Samuel Fernández-Menduiña; Felix Krahmer; Geert Leus; Ayush Bhandari (IEEE Trans. Signal Process., 2022)

The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments. - Dorian Florescu; Felix Krahmer; Ayush Bhandari (IEEE Trans. Signal Process., 2022)

Johnson-Lindenstrauss Embeddings with Kronecker Structure. - Stefan Bamberger; Felix Krahmer; Rachel A. Ward (SIAM J. Matrix Anal. Appl., 2022)

High-Dimensional Confidence Regions in Sparse MRI. - Frederik Hoppe; Felix Krahmer; Claudio Mayrink Verdun; Marion I. Menzel; Holger Rauhut (ICASSP, 2023)

Uncertainty Quantification For Learned ISTA. - Frederik Hoppe; Claudio Mayrink Verdun; Hannah Laus; Felix Krahmer; Holger Rauhut (MLSP, 2023)

One-bit Sigma-Delta modulation on the circle. - Olga Graf; Felix Krahmer; Sara Krause-Solberg (Adv. Comput. Math., 2023)

How robust is randomized blind deconvolution via nuclear norm minimization against adversarial noise? - Julia Kostin; Felix Krahmer; Dominik Stöger (CoRR, 2023)

On the reconstruction of bandlimited signals from random samples quantized via noise-shaping. - Rohan Joy; Felix Krahmer; Alessandro Lupoli; Radha Ramakrishnan (CoRR, 2023)

Riemannian thresholding methods for row-sparse and low-rank matrix recovery. - Henrik Eisenmann; Felix Krahmer; Max Pfeffer; André Uschmajew (Numer. Algorithms, 2023)

Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation. - Felix Krahmer; Anna Veselovska (SIAM J. Imaging Sci., 2023)

Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence. - Claudio Mayrink Verdun; Oleh Melnyk; Felix Krahmer; Peter Jung 001 (COLT, 2024)

Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images. - Frederik Hoppe; Claudio Mayrink Verdun; Hannah Laus; Sebastian Endt; Marion I. Menzel; Felix Krahmer; Holger Rauhut (ECCV (78), 2024)

Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning. - Frederik Hoppe; Claudio Mayrink Verdun; Hannah Laus; Felix Krahmer; Holger Rauhut (NeurIPS, 2024)

The Mathematics of Dots and Pixels: On the Theoretical Foundations of Image Halftoning. - Felix Krahmer; Anna Veselovska (CoRR, 2024)

With or Without Replacement? Improving Confidence in Fourier Imaging. - Frederik Hoppe; Claudio Mayrink Verdun; Felix Krahmer; Marion I. Menzel; Holger Rauhut (CoRR, 2024)

Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent. - Santhosh Karnik; Anna Veselovska; Mark A. Iwen; Felix Krahmer (CoRR, 2024)

Stable Retrieval for Unlimited Sampling via Adaptive Local Representations. - Felipe Pagginelli Patricio; Felix Krahmer; Paul Catala (SSP, 2025)

Approximating positive homogeneous functions with scale invariant neural networks. - Stefan Bamberger; Reinhard Heckel; Felix Krahmer (J. Approx. Theory, 2025)

Spectral method for low-dose Poisson and Bernoulli phase retrieval. - Sjoerd Dirksen; Felix Krahmer; Patricia Römer; Palina Salanevich (CoRR, 2025)

Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay. - Hannah Laus; Suzanna Parkinson; Vasileios Charisopoulos; Felix Krahmer; Rebecca Willett (CoRR, 2025)

Phasebook: A Survey of Selected Open Problems in Phase Retrieval. - Marc Allain; Selin Aslan; Wim Coene; Sjoerd Dirksen; Jonathan Dong; Julien Flamant; Mark A. Iwen; Felix Krahmer; Tristan van Leeuwen; Oleh Melnyk; Andreas Menzel; Allard P. Mosk; et al. (CoRR, 2025)

Fast One-Pass Sparse Approximation of the Top Eigenvectors of Huge Low-Rank Matrices? Yes, MAM*! - Edem Boahen; Simone Brugiapaglia; Hung-Hsu Chou; Mark A. Iwen; Felix Krahmer (CoRR, 2025)