Felix Krahmer

Orcid: 0000-0002-1959-5548

Affiliations:
  • Technical University Munich, Germany


According to our database1, Felix Krahmer authored at least 89 papers between 2008 and 2024.

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Bibliography

2024
Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent.
CoRR, 2024

Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning.
CoRR, 2024

With or Without Replacement? Improving Confidence in Fourier Imaging.
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
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation.
SIAM J. Imaging Sci., September, 2023

Riemannian thresholding methods for row-sparse and low-rank matrix recovery.
Numer. Algorithms, June, 2023

Approximating Positive Homogeneous Functions with Scale Invariant Neural Networks.
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

One-bit Sigma-Delta modulation on the circle.
Adv. Comput. Math., 2023

Uncertainty Quantification For Learned ISTA.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

High-Dimensional Confidence Regions in Sparse MRI.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Johnson-Lindenstrauss Embeddings with Kronecker Structure.
SIAM J. Matrix Anal. Appl., December, 2022

The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments.
IEEE Trans. Signal Process., 2022

Computational Array Signal Processing via Modulo Non-Linearities.
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

The Modulo Radon Transform: Theory, Algorithms, and Applications.
SIAM J. Imaging Sci., 2022

A sample efficient sparse FFT for arbitrary frequency candidate sets in high dimensions.
Numer. Algorithms, 2022

Uncertainty quantification for sparse Fourier recovery.
CoRR, 2022

Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis.
CoRR, 2022

2021
On Unlimited Sampling and Reconstruction.
IEEE Trans. Signal Process., 2021

Sparse Harmonic Transforms: A New Class of Sublinear-Time Algorithms for Learning Functions of Many Variables.
Found. Comput. Math., 2021

On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds.
Discret. Comput. Geom., 2021

Proof methods for robust low-rank matrix recovery.
CoRR, 2021

Event-Driven Modulo Sampling.
Proceedings of the IEEE International Conference on Acoustics, 2021

On the randomized Kaczmarz algorithm for phase retrieval.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Unlimited Sampling with Hysteresis.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
On the robustness of noise-blind low-rank recovery from rank-one measurements.
CoRR, 2020

High order low-bit Sigma-Delta quantization for fusion frames.
CoRR, 2020

On recovery guarantees for angular synchronization.
CoRR, 2020

Well conditioned ptychograpic imaging via lost subspace completion.
CoRR, 2020

HDR Imaging From Quantization Noise.
Proceedings of the IEEE International Conference on Image Processing, 2020

HDR Tomography VIA Modulo Radon Transform.
Proceedings of the IEEE International Conference on Image Processing, 2020

One-Bit Sampling in Fractional Fourier Domain.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Stable Ptychographic Phase Retrieval via Lost Subspace Completion.
Proceedings of the 28th European Signal Processing Conference, 2020

DoA Estimation via Unlimited Sensing.
Proceedings of the 28th European Signal Processing Conference, 2020

Multidimensional Unlimited Sampling: A Geometrical Perspective.
Proceedings of the 28th European Signal Processing Conference, 2020

The Modulo Radon Transform and its Inversion.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Predicting sparse circle maps from their dynamics.
CoRR, 2019

On the geometry of polytopes generated by heavy-tailed random vectors.
CoRR, 2019

Complex phase retrieval from subgaussian measurements.
CoRR, 2019

On the convex geometry of blind deconvolution and matrix completion.
CoRR, 2019

Sparse power factorization: balancing peakiness and sample complexity.
Adv. Comput. Math., 2019

One-bit Unlimited Sampling.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Phase Retrieval Without Small-Ball Probability Assumptions.
IEEE Trans. Inf. Theory, 2018

Blind Demixing and Deconvolution at Near-Optimal Rate.
IEEE Trans. Inf. Theory, 2018

Spectral Methods for Passive Imaging: Nonasymptotic Performance and Robustness.
SIAM J. Imaging Sci., 2018

The homotopy method revisited: Computing solution paths of ℓ<sub>1</sub>-regularized problems.
Math. Comput., 2018

Are good local minima wide in sparse recovery?
CoRR, 2018

Sparse Power Factorization With Refined Peakiness Conditions.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

One-Bit Sigma-Delta Modulation on a Closed Loop.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Unlimited Sampling of Sparse Sinusoidal Mixtures.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Unlimited Sampling of Sparse Signals.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Blind Deconvolution: Convex Geometry and Noise Robustness.
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

Optimal Fast Johnson-Lindenstrauss Embeddings for Large Data Sets.
CoRR, 2017

Spectral Methods for Passive Imaging: Non-asymptotic Performance and Robustness.
CoRR, 2017

Total Variation Minimization in Compressed Sensing.
CoRR, 2017

Quantized Compressed Sensing for Partial Random Circulant Matrices.
CoRR, 2017

On Unlimited Sampling.
CoRR, 2017

Blind Demixing and Deconvolution with Noisy Data: Near-optimal Rate.
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
Compressive Sensing with Redundant Dictionaries and Structured Measurements.
SIAM J. Math. Anal., 2015

A Novel Compressed Sensing Scheme for Photoacoustic Tomography.
SIAM J. Appl. Math., 2015

Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems.
CoRR, 2015

2014
Stable and Robust Sampling Strategies for Compressive Imaging.
IEEE Trans. Image Process., 2014

An RIP-Based Approach to Σ Δ Quantization for Compressed Sensing.
IEEE Signal Process. Lett., 2014

Sparse matrices in frame theory.
Comput. Stat., 2014

Structured random measurements in signal processing.
CoRR, 2014

Improved Recovery Guarantees for Phase Retrieval from Coded Diffraction Patterns.
CoRR, 2014

An RIP-based approach to $ΣΔ$ quantization for compressed sensing.
CoRR, 2014

Quantization and Compressive Sensing.
CoRR, 2014

2013
Sigma-Delta quantization of sub-Gaussian frame expansions and its application to compressed sensing.
CoRR, 2013

Fast Subspace Approximation via Greedy Least-Squares.
CoRR, 2013

A Partial Derandomization of PhaseLift using Spherical Designs.
CoRR, 2013

2012
Root-Exponential Accuracy for Coarse Quantization of Finite Frame Expansions.
IEEE Trans. Inf. Theory, 2012

SqFreeEVAL: An (almost) optimal real-root isolation algorithm.
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

Suprema of Chaos Processes and the Restricted Isometry Property
CoRR, 2012

2011
Optimally Sparse Frames.
IEEE Trans. Inf. Theory, 2011

New and Improved Johnson-Lindenstrauss Embeddings via the Restricted Isometry Property.
SIAM J. Math. Anal., 2011

2010
Lower bounds for the error decay incurred by coarse quantization schemes
CoRR, 2010

An Optimal Family of Exponentially Accurate One-Bit Sigma-Delta Quantization Schemes
CoRR, 2010

2009
Continuous Amortization: A Non-Probabilistic Adaptive Analysis Technique.
Electron. Colloquium Comput. Complex., 2009

2008
An open question on the existence of Gabor frames in general linear position.
Proceedings of the Structured Decompositions and Efficient Algorithms, 30.11. - 05.12.2008, 2008


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