Felix Krahmer - RankMe

121 papers A* 4B 3Misc 6Journal 94Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Conformal Prediction for Multi-Source Detection on a Network. AAAI Xingchao Jian, Purui Zhang, Lan Tian, Feng Ji, Wenfei Liang, Wee Peng Tay, Bihan Wen, Felix Krahmer
2026	J	`jnl`	Low-Bit Quantization of Bandlimited Graph Signals via Iterative Methods. CoRR Felix Krahmer, He Lyu, Rayan Saab, Jinna Qian, Anna Veselovska, Rongrong Wang
2025	J	`jnl`	Approximating positive homogeneous functions with scale invariant neural networks. J. Approx. Theory Stefan Bamberger, Reinhard Heckel, Felix Krahmer
2025	J	`jnl`	Conformal Prediction for Multi-Source Detection on a Network. CoRR Xingchao Jian, Purui Zhang, Lan Tian, Feng Ji, Wenfei Liang, Wee Peng Tay, Bihan Wen, Felix Krahmer
2025	J	`jnl`	Fast One-Pass Sparse Approximation of the Top Eigenvectors of Huge Low-Rank Matrices? Yes, MAM CoRR Edem Boahen, Simone Brugiapaglia, Hung-Hsu Chou, Mark A. Iwen, Felix Krahmer
2025	A*	`conf`	Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent. ICML Santhosh Karnik, Anna Veselovska, Mark A. Iwen, Felix Krahmer
2025	J	`jnl`	Phasebook: A Survey of Selected Open Problems in Phase Retrieval. CoRR 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, Viktor Nikitin, Gerlind Plonka, Palina Salanevich, Matthias Wellershoff
2025	J	`jnl`	Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay. CoRR Hannah Laus, Suzanna Parkinson, Vasileios Charisopoulos, Felix Krahmer, Rebecca Willett
2025	J	`jnl`	Spectral method for low-dose Poisson and Bernoulli phase retrieval. CoRR Sjoerd Dirksen, Felix Krahmer, Patricia Römer, Palina Salanevich
2025	—	`conf`	Stable Retrieval for Unlimited Sampling via Adaptive Local Representations. SSP Felipe Pagginelli Patricio, Felix Krahmer, Paul Catala
2024	A*	`conf`	Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence. COLT Claudio Mayrink Verdun, Oleh Melnyk, Felix Krahmer, Peter Jung
2024	J	`jnl`	High-Dimensional Confidence Regions in Sparse MRI. CoRR Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
2024	—	`conf`	Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images. ECCV (78) Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Sebastian Endt, Marion I. Menzel, Felix Krahmer, Holger Rauhut
2024	J	`jnl`	Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent. CoRR Santhosh Karnik, Anna Veselovska, Mark A. Iwen, Felix Krahmer
2024	A*	`conf`	Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning. NeurIPS Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
2024	J	`jnl`	Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning. CoRR Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
2024	J	`jnl`	The Mathematics of Dots and Pixels: On the Theoretical Foundations of Image Halftoning. CoRR Felix Krahmer, Anna Veselovska
2024	J	`jnl`	With or Without Replacement? Improving Confidence in Fourier Imaging. CoRR Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Marion I. Menzel, Holger Rauhut
2023	J	`jnl`	Approximating Positive Homogeneous Functions with Scale Invariant Neural Networks. CoRR Stefan Bamberger, Reinhard Heckel, Felix Krahmer
2023	J	`jnl`	Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation. SIAM J. Imaging Sci. Felix Krahmer, Anna Veselovska
2023	Misc	`conf`	High-Dimensional Confidence Regions in Sparse MRI. ICASSP Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
2023	J	`jnl`	How robust is randomized blind deconvolution via nuclear norm minimization against adversarial noise? CoRR Julia Kostin, Felix Krahmer, Dominik Stöger
2023	J	`jnl`	On the reconstruction of bandlimited signals from random samples quantized via noise-shaping. CoRR Rohan Joy, Felix Krahmer, Alessandro Lupoli, Radha Ramakrishnan
2023	J	`jnl`	One-bit Sigma-Delta modulation on the circle. Adv. Comput. Math. Olga Graf, Felix Krahmer, Sara Krause-Solberg
2023	J	`jnl`	Riemannian thresholding methods for row-sparse and low-rank matrix recovery. Numer. Algorithms Henrik Eisenmann, Felix Krahmer, Max Pfeffer, André Uschmajew
2023	—	`conf`	Uncertainty Quantification For Learned ISTA. MLSP Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
2023	J	`jnl`	Uncertainty quantification for learned ISTA. CoRR Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Hannah Laus, Holger Rauhut
2022	J	`jnl`	A sample efficient sparse FFT for arbitrary frequency candidate sets in high dimensions. Numer. Algorithms Lutz Kämmerer, Felix Krahmer, Toni Volkmer
2022	J	`jnl`	Computational Array Signal Processing via Modulo Non-Linearities. IEEE Trans. Signal Process. Samuel Fernández-Menduiña, Felix Krahmer, Geert Leus, Ayush Bhandari
2022	J	`jnl`	Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation. CoRR Felix Krahmer, Anna Veselovska
2022	J	`jnl`	Johnson-Lindenstrauss Embeddings with Kronecker Structure. SIAM J. Matrix Anal. Appl. Stefan Bamberger, Felix Krahmer, Rachel A. Ward
2022	J	`jnl`	Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis. CoRR Maternus Herold, Anna Veselovska, Jonas Jehle, Felix Krahmer
2022	J	`jnl`	Sketching with Kerdock's Crayons: Fast Sparsifying Transforms for Arbitrary Linear Maps. SIAM J. Matrix Anal. Appl. Tim Fuchs, David Gross, Felix Krahmer, Richard Kueng, Dustin G. Mixon
2022	J	`jnl`	The Modulo Radon Transform: Theory, Algorithms, and Applications. SIAM J. Imaging Sci. Matthias Beckmann, Ayush Bhandari, Felix Krahmer
2022	J	`jnl`	The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments. IEEE Trans. Signal Process. Dorian Florescu, Felix Krahmer, Ayush Bhandari
2022	J	`jnl`	Uncertainty quantification for sparse Fourier recovery. CoRR Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut
2022	J	`jnl`	Unlimited Sampling From Theory to Practice: Fourier-Prony Recovery and Prototype ADC. IEEE Trans. Signal Process. Ayush Bhandari, Felix Krahmer, Thomas Poskitt
2021	Misc	`conf`	Event-Driven Modulo Sampling. ICASSP Dorian Florescu, Felix Krahmer, Ayush Bhandari
2021	J	`jnl`	Johnson-Lindenstrauss Embeddings with Kronecker Structure. CoRR Stefan Bamberger, Felix Krahmer, Rachel A. Ward
2021	J	`jnl`	On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds. Discret. Comput. Geom. Mark A. Iwen, Felix Krahmer, Sara Krause-Solberg, Johannes Maly
2021	J	`jnl`	On Unlimited Sampling and Reconstruction. IEEE Trans. Signal Process. Ayush Bhandari, Felix Krahmer, Ramesh Raskar
2021	—	`conf`	On the randomized Kaczmarz algorithm for phase retrieval. ACSCC Patricia Römer, Frank Filbir, Felix Krahmer
2021	J	`jnl`	Proof methods for robust low-rank matrix recovery. CoRR Tim Fuchs, David Gross, Peter Jung, Felix Krahmer, Richard Kueng, Dominik Stöger
2021	J	`jnl`	Riemannian thresholding methods for row-sparse and low-rank matrix recovery. CoRR Henrik Eisenmann, Felix Krahmer, Max Pfeffer, André Uschmajew
2021	J	`jnl`	Sketching with Kerdock's crayons: Fast sparsifying transforms for arbitrary linear maps. CoRR Tim Fuchs, David Gross, Felix Krahmer, Richard Kueng, Dustin G. Mixon
2021	J	`jnl`	Sparse Harmonic Transforms: A New Class of Sublinear-Time Algorithms for Learning Functions of Many Variables. Found. Comput. Math. Bosu Choi, Mark A. Iwen, Felix Krahmer
2021	J	`jnl`	The Modulo Radon Transform: Theory, Algorithms and Applications. CoRR Matthias Beckmann, Ayush Bhandari, Felix Krahmer
2021	J	`jnl`	The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments. CoRR Dorian Florescu, Felix Krahmer, Ayush Bhandari
2021	J	`jnl`	Unlimited Sampling from Theory to Practice: Fourier-Prony Recovery and Prototype ADC. CoRR Ayush Bhandari, Felix Krahmer, Thomas Poskitt
2021	—	`conf`	Unlimited Sampling with Hysteresis. ACSCC Dorian Florescu, Felix Krahmer, Ayush Bhandari
2020	J	`jnl`	A sample efficient sparse FFT for arbitrary frequency candidate sets in high dimensions. CoRR Lutz Kämmerer, Felix Krahmer, Toni Volkmer
2020	—	`conf`	DoA Estimation via Unlimited Sensing. EUSIPCO Samuel Fernández-Menduiña, Felix Krahmer, Geert Leus, Ayush Bhandari
2020	B	`conf`	HDR Imaging From Quantization Noise. ICIP Ayush Bhandari, Felix Krahmer
2020	B	`conf`	HDR Tomography VIA Modulo Radon Transform. ICIP Matthias Beckmann, Felix Krahmer, Ayush Bhandari
2020	J	`jnl`	High order low-bit Sigma-Delta quantization for fusion frames. CoRR Zhen Gao, Felix Krahmer, Alexander M. Powell
2020	—	`conf`	Multidimensional Unlimited Sampling: A Geometrical Perspective. EUSIPCO Vincent Bouis, Felix Krahmer, Ayush Bhandari
2020	J	`jnl`	On recovery guarantees for angular synchronization. CoRR Frank Filbir, Felix Krahmer, Oleh Melnyk
2020	J	`jnl`	On the robustness of noise-blind low-rank recovery from rank-one measurements. CoRR Felix Krahmer, Christian Kümmerle, Oleh Melnyk
2020	Misc	`conf`	One-Bit Sampling in Fractional Fourier Domain. ICASSP Ayush Bhandari, Olga Graf, Felix Krahmer, Ahmed I. Zayed
2020	—	`conf`	Stable Ptychographic Phase Retrieval via Lost Subspace Completion. EUSIPCO Oleh Melnyk, Anton Forstner, Felix Krahmer, Nada Sissouno
2020	—	`conf`	The Modulo Radon Transform and its Inversion. EUSIPCO Ayush Bhandari, Matthias Beckmann, Felix Krahmer
2020	J	`jnl`	Well conditioned ptychograpic imaging via lost subspace completion. CoRR Anton Forstner, Felix Krahmer, Oleh Melnyk, Nada Sissouno
2019	J	`jnl`	Complex phase retrieval from subgaussian measurements. CoRR Felix Krahmer, Dominik Stöger
2019	J	`jnl`	On Unlimited Sampling and Reconstruction. CoRR Ayush Bhandari, Felix Krahmer, Ramesh Raskar
2019	J	`jnl`	On the convex geometry of blind deconvolution and matrix completion. CoRR Felix Krahmer, Dominik Stöger
2019	J	`jnl`	On the geometry of polytopes generated by heavy-tailed random vectors. CoRR Olivier Guédon, Felix Krahmer, Christian Kümmerle, Shahar Mendelson, Holger Rauhut
2019	Misc	`conf`	One-bit Unlimited Sampling. ICASSP Olga Graf, Ayush Bhandari, Felix Krahmer
2019	J	`jnl`	Predicting sparse circle maps from their dynamics. CoRR Felix Krahmer, Christian Kühn, Nada Sissouno
2019	J	`jnl`	Sparse power factorization: balancing peakiness and sample complexity. Adv. Comput. Math. Jakob Geppert, Felix Krahmer, Dominik Stöger
2018	J	`jnl`	Are good local minima wide in sparse recovery? CoRR Michael Moeller, Otmar Loffeld, Juergen Gall, Felix Krahmer
2018	Misc	`conf`	Blind Deconvolution: Convex Geometry and Noise Robustness. ACSSC Felix Krahmer, Dominik Stöger
2018	J	`jnl`	Blind Demixing and Deconvolution at Near-Optimal Rate. IEEE Trans. Inf. Theory Peter Jung, Felix Krahmer, Dominik Stöger
2018	J	`jnl`	On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds. CoRR Mark A. Iwen, Felix Krahmer, Sara Krause-Solberg, Johannes Maly
2018	—	`conf`	One-Bit Sigma-Delta Modulation on a Closed Loop. SSP Sara Krause-Solberg, Olga Graf, Felix Krahmer
2018	J	`jnl`	Phase Retrieval Without Small-Ball Probability Assumptions. IEEE Trans. Inf. Theory Felix Krahmer, Yi-Kai Liu
2018	—	`conf`	Sparse Power Factorization With Refined Peakiness Conditions. SSP Dominik Stöger, Jakob Geppert, Felix Krahmer
2018	J	`jnl`	Sparse Power Factorization: Balancing peakiness and sample complexity. CoRR Jakob Geppert, Felix Krahmer, Dominik Stöger
2018	J	`jnl`	Spectral Methods for Passive Imaging: Nonasymptotic Performance and Robustness. SIAM J. Imaging Sci. Kiryung Lee, Felix Krahmer, Justin Romberg
2018	J	`jnl`	The homotopy method revisited: Computing solution paths of ℓ Math. Comput. Björn Bringmann, Daniel Cremers, Felix Krahmer, Michael Möller
2018	Misc	`conf`	Unlimited Sampling of Sparse Signals. ICASSP Ayush Bhandari, Felix Krahmer, Ramesh Raskar
2018	B	`conf`	Unlimited Sampling of Sparse Sinusoidal Mixtures. ISIT Ayush Bhandari, Felix Krahmer, Ramesh Raskar
2017	J	`jnl`	Blind Demixing and Deconvolution at Near-Optimal Rate. CoRR Peter Jung, Felix Krahmer, Dominik Stöger
2017	—	`conf`	Blind Demixing and Deconvolution with Noisy Data: Near-optimal Rate. WSA Dominik Stöger, Peter Jung, Felix Krahmer
2017	J	`jnl`	On Unlimited Sampling. CoRR Ayush Bhandari, Felix Krahmer, Ramesh Raskar
2017	J	`jnl`	Optimal Fast Johnson-Lindenstrauss Embeddings for Large Data Sets. CoRR Stefan Bamberger, Felix Krahmer
2017	J	`jnl`	Optimal Injectivity Conditions for Bilinear Inverse Problems with Applications to Identifiability of Deconvolution Problems. SIAM J. Appl. Algebra Geom. Michael Kech, Felix Krahmer
2017	J	`jnl`	Quantized Compressed Sensing for Partial Random Circulant Matrices. CoRR Joe-Mei Feng, Felix Krahmer, Rayan Saab
2017	J	`jnl`	Spectral Methods for Passive Imaging: Non-asymptotic Performance and Robustness. CoRR Kiryung Lee, Felix Krahmer, Justin Romberg
2017	J	`jnl`	Total Variation Minimization in Compressed Sensing. CoRR Felix Krahmer, Christian Kruschel, Michael Sandbichler
2016	J	`jnl`	Optimal Injectivity Conditions for Bilinear Inverse Problems with Applications to Identifiability of Deconvolution Problems. CoRR Michael Kech, Felix Krahmer
2016	J	`jnl`	Phase Retrieval Without Small-Ball Probability Assumptions. CoRR Felix Krahmer, Yi-Kai Liu
2016	—	`conf`	Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal Constraints. RAMBO+HVSMR@MICCAI Cagdas Ulas, Pedro A. Gómez, Felix Krahmer, Jonathan I. Sperl, Marion I. Menzel, Bjoern H. Menze
2015	J	`jnl`	A Novel Compressed Sensing Scheme for Photoacoustic Tomography. CoRR Michael Sandbichler, Felix Krahmer, Thomas Berer, Peter Burgholzer, Markus Haltmeier
2015	J	`jnl`	A Novel Compressed Sensing Scheme for Photoacoustic Tomography. SIAM J. Appl. Math. Michael Sandbichler, Felix Krahmer, Thomas Berer, Peter Burgholzer, Markus Haltmeier
2015	J	`jnl`	Compressive Sensing with Redundant Dictionaries and Structured Measurements. CoRR Felix Krahmer, Deanna Needell, Rachel A. Ward
2015	J	`jnl`	Compressive Sensing with Redundant Dictionaries and Structured Measurements. SIAM J. Math. Anal. Felix Krahmer, Deanna Needell, Rachel A. Ward
2015	J	`jnl`	Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems. CoRR Evan Chou, C. Sinan Güntürk, Felix Krahmer, Rayan Saab, Özgür Yilmaz
2014	J	`jnl`	An RIP-Based Approach to Σ Δ Quantization for Compressed Sensing. IEEE Signal Process. Lett. Joe-Mei Feng, Felix Krahmer
2014	J	`jnl`	An RIP-based approach to $ΣΔ$ quantization for compressed sensing. CoRR Joe-Mei Feng, Felix Krahmer
2014	J	`jnl`	Improved Recovery Guarantees for Phase Retrieval from Coded Diffraction Patterns. CoRR David Gross, Felix Krahmer, Richard Kueng
2014	J	`jnl`	Quantization and Compressive Sensing. CoRR Petros T. Boufounos, Laurent Jacques, Felix Krahmer, Rayan Saab
2014	J	`jnl`	Sparse matrices in frame theory. Comput. Stat. Felix Krahmer, Gitta Kutyniok, Jakob Lemvig
2014	J	`jnl`	Stable and Robust Sampling Strategies for Compressive Imaging. IEEE Trans. Image Process. Felix Krahmer, Rachel A. Ward
2014	J	`jnl`	Structured random measurements in signal processing. CoRR Felix Krahmer, Holger Rauhut
2013	J	`jnl`	A Partial Derandomization of PhaseLift using Spherical Designs. CoRR David Gross, Felix Krahmer, Richard Kueng
2013	J	`jnl`	Fast Subspace Approximation via Greedy Least-Squares. CoRR Mark A. Iwen, Felix Krahmer
2013	J	`jnl`	Sigma-Delta quantization of sub-Gaussian frame expansions and its application to compressed sensing. CoRR Felix Krahmer, Rayan Saab, Özgür Yilmaz
2012	J	`jnl`	Compressive imaging: stable and robust recovery from variable density frequency samples CoRR Felix Krahmer, Rachel A. Ward
2012	J	`jnl`	Local sampling and approximation of operators with bandlimited Kohn-Nirenberg symbols CoRR Felix Krahmer, Götz E. Pfander
2012	J	`jnl`	Root-Exponential Accuracy for Coarse Quantization of Finite Frame Expansions. IEEE Trans. Inf. Theory Felix Krahmer, Rayan Saab, Rachel A. Ward
2012	J	`jnl`	SqFreeEVAL: An (almost) optimal real-root isolation algorithm. J. Symb. Comput. Michael A. Burr, Felix Krahmer
2012	J	`jnl`	Suprema of Chaos Processes and the Restricted Isometry Property CoRR Felix Krahmer, Shahar Mendelson, Holger Rauhut
2011	J	`jnl`	New and Improved Johnson-Lindenstrauss Embeddings via the Restricted Isometry Property. SIAM J. Math. Anal. Felix Krahmer, Rachel A. Ward
2011	J	`jnl`	Optimally Sparse Frames. IEEE Trans. Inf. Theory Peter G. Casazza, Andreas Heinecke, Felix Krahmer, Gitta Kutyniok
2011	J	`jnl`	SqFreeEVAL: An (almost) optimal real-root isolation algorithm CoRR Michael A. Burr, Felix Krahmer
2010	J	`jnl`	An Optimal Family of Exponentially Accurate One-Bit Sigma-Delta Quantization Schemes CoRR Percy Deift, C. Sinan Güntürk, Felix Krahmer
2010	J	`jnl`	Lower bounds for the error decay incurred by coarse quantization schemes CoRR Felix Krahmer, Rachel A. Ward
2010	J	`jnl`	New and improved Johnson-Lindenstrauss embeddings via the Restricted Isometry Property CoRR Felix Krahmer, Rachel A. Ward
2010	J	`jnl`	Optimally Sparse Frames CoRR Peter G. Casazza, Andreas Heinecke, Felix Krahmer, Gitta Kutyniok
2009	J	`jnl`	Continuous Amortization: A Non-Probabilistic Adaptive Analysis Technique. Electron. Colloquium Comput. Complex. Michael A. Burr, Felix Krahmer, Chee Yap
2008	—	`conf`	An open question on the existence of Gabor frames in general linear position. Structured Decompositions and Efficient Algorithms Felix Krahmer, Götz E. Pfander, Peter Rashkov