Mike E. Davies

177 papers A* 7B 1C 2Misc 13Journal 106Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Perspective-Equivariant Fine-tuning for Multispectral Demosaicing without Ground Truth. CoRR Andrew Wang, Mike E. Davies
2026	J	`jnl`	Self-Supervised Learning from Noisy and Incomplete Data. CoRR Julián Tachella, Mike E. Davies
2025	—	`conf`	A Variational Autoencoder with Semi-Supervised Latent Space for Source Term Estimation. SSP Abdullah Abdulaziz, Mike E. Davies, Steve McLaughlin, Yoann Altmann
2025	C	`conf`	PiVoT: Poisson Measurements-Based Variational Multi-Object Detection and Tracking. FUSION Runze Gan, Qing Li, James R. Hopgood, Mike E. Davies, Simon J. Godsill
2025	A*	`conf`	UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate. ICLR Julián Tachella, Mike E. Davies, Laurent Jacques
2024	C	`conf`	Implementation of AKKF-based Multi-Sensor Fusion Methods in Stone Soup. FUSION James S. Wright, Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood
2024	J	`jnl`	Spline Sketches: An Efficient Approach for Photon Counting Lidar. IEEE Trans. Computational Imaging Michael P. Sheehan, Julián Tachella, Mike E. Davies
2024	J	`jnl`	UNSURE: Unknown Noise level Stein's Unbiased Risk Estimator. CoRR Julián Tachella, Mike E. Davies, Laurent Jacques
2023	J	`jnl`	Adaptive Kernel Kalman Filter. IEEE Trans. Signal Process. Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood
2023	J	`jnl`	Divergence Estimation in Message Passing Algorithms. IEEE Trans. Inf. Theory Nikolajs Skuratovs, Mike E. Davies
2023	Misc	`conf`	Hardware Friendly Spline Sketched Lidar. ICASSP Michael P. Sheehan, Julián Tachella, Mike E. Davies
2023	J	`jnl`	Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. IEEE Signal Process. Mag. Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
2023	J	`jnl`	Self-Supervised Learning for Image Super-Resolution and Deblurring. CoRR Jérémy Scanvic, Mike E. Davies, Patrice Abry, Julián Tachella
2023	J	`jnl`	Sensing Theorems for Unsupervised Learning in Linear Inverse Problems. J. Mach. Learn. Res. Julián Tachella, Dongdong Chen, Mike E. Davies
2022	J	`jnl`	A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking. CoRR Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood
2022	J	`jnl`	Adaptive Kernel Kalman Filter Based Belief Propagation Algorithm for Maneuvering Multi-Target Tracking. IEEE Signal Process. Lett. Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood
2022	—	`conf`	Deep Unrolling for Magnetic Resonance Fingerprinting. ISBI Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
2022	J	`jnl`	Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. IEEE Trans. Medical Imaging Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson
2022	J	`jnl`	Imaging with Equivariant Deep Learning. CoRR Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
2022	A*	`conf`	Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. CVPR Dongdong Chen, Julián Tachella, Mike E. Davies
2022	J	`jnl`	Sampling Theorems for Learning from Incomplete Measurements. CoRR Julián Tachella, Dongdong Chen, Mike E. Davies
2022	J	`jnl`	Sampling Theorems for Unsupervised Learning in Linear Inverse Problems. CoRR Julián Tachella, Dongdong Chen, Mike E. Davies
2022	Misc	`conf`	Sketched RT3D: How to Reconstruct Billions of Photons Per Second. ICASSP Julián Tachella, Michael P. Sheehan, Mike E. Davies
2022	J	`jnl`	Sketched RT3D: How to reconstruct billions of photons per second. CoRR Julián Tachella, Michael P. Sheehan, Mike E. Davies
2022	J	`jnl`	Staggered Coprime Pulse Repetition Frequencies Synthetic Aperture Radar (SCopSAR). IEEE Trans. Geosci. Remote. Sens. Abdulmalik Aldharrab, Mike E. Davies
2022	A*	`conf`	Unsupervised Learning From Incomplete Measurements for Inverse Problems. NeurIPS Julián Tachella, Dongdong Chen, Mike E. Davies
2022	B	`conf`	Warm-Starting in Message Passing algorithms. ISIT Nikolajs Skuratovs, Mike E. Davies
2022	J	`jnl`	Warm-Starting in Message Passing algorithms. CoRR Nikolajs Skuratovs, Mike E. Davies
2021	J	`jnl`	A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar. IEEE Trans. Computational Imaging Michael P. Sheehan, Julián Tachella, Mike E. Davies
2021	J	`jnl`	A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization. SIAM J. Imaging Sci. Derek Driggs, Junqi Tang, Jingwei Liang, Mike E. Davies, Carola-Bibiane Schönlieb
2021	J	`jnl`	Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography. J. Imaging Ahmed Karam Eldaly, Ming Fang, Angela Di Fulvio, Steve McLaughlin, Mike E. Davies, Yoann Altmann, Yves Wiaux
2021	J	`jnl`	Compressive Independent Component Analysis: Theory and Algorithms. CoRR Michael P. Sheehan, Mike E. Davies
2021	J	`jnl`	Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks. Medical Image Anal. Mohammad Golbabaee, Guido Buonincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez
2021	A*	`conf`	Equivariant Imaging: Learning Beyond the Range Space. ICCV Dongdong Chen, Julián Tachella, Mike E. Davies
2021	J	`jnl`	Equivariant Imaging: Learning Beyond the Range Space. CoRR Dongdong Chen, Julián Tachella, Mike E. Davies
2021	J	`jnl`	Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. CoRR Dongdong Chen, Julián Tachella, Mike E. Davies
2021	—	`conf`	Surface Detection for Sketched Single Photon Lidar. EUSIPCO Michael P. Sheehan, Julián Tachella, Mike E. Davies
2021	A*	`conf`	The Neural Tangent Link Between CNN Denoisers and Non-Local Filters. CVPR Julián Tachella, Junqi Tang, Mike E. Davies
2020	J	`jnl`	($\ell _1, \ell _2$)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements. IEEE Signal Process. Lett. Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques
2020	J	`jnl`	A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems. CoRR Junqi Tang, Mike E. Davies
2020	J	`jnl`	CNN Denoisers as Non-Local Filters: The Neural Tangent Denoiser. CoRR Julián Tachella, Junqi Tang, Mike E. Davies
2020	J	`jnl`	COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography. CoRR Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson
2020	J	`jnl`	Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing. SIAM J. Imaging Sci. Alessandro Perelli, Michael A. Lexa, Ali Can, Mike E. Davies
2020	—	`conf`	Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations. MICCAI (2) Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
2020	J	`jnl`	Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations. CoRR Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
2020	J	`jnl`	Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders. CoRR Mohammad Golbabaee, Guido Bounincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez
2020	—	`conf`	Deep Decomposition Learning for Inverse Imaging Problems. ECCV (28) Dongdong Chen, Mike E. Davies
2020	—	`conf`	DeepMP for Non-Negative Sparse Decomposition. EUSIPCO Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi
2020	J	`jnl`	DeepMP for Non-Negative Sparse Decomposition. CoRR Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi
2020	J	`jnl`	Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. CoRR Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson
2020	—	`conf`	Joint Robust Linear Regression and Anomaly Detection in Poisson noise using Expectation-Propagation. EUSIPCO Dan Yao, Yoann Altmann, Steve McLaughlin, Mike E. Davies
2020	J	`jnl`	One Bit to Rule Them All : Binarizing the Reconstruction in 1-bit Compressive Sensing. CoRR Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques
2020	J	`jnl`	The Practicality of Stochastic Optimization in Imaging Inverse Problems. IEEE Trans. Computational Imaging Junqi Tang, Karen O. Egiazarian, Mohammad Golbabaee, Mike E. Davies
2019	J	`jnl`	(l1, l2)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements. CoRR Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques
2019	J	`jnl`	A Deep DUAL-PATH Network for Improved Mammogram Image Processing. CoRR Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson
2019	Misc	`conf`	A Deep Dual-path Network for Improved Mammogram Image Processing. ICASSP Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson
2019	—	`conf`	Compressive Independent Component Analysis. EUSIPCO Michael P. Sheehan, Madeleine S. Kotzagiannidis, Mike E. Davies
2019	J	`jnl`	Compressive Learning for Semi-Parametric Models. CoRR Michael P. Sheehan, Antoine Gonon, Mike E. Davies
2019	J	`jnl`	Deep Decomposition Learning for Inverse Imaging Problems. CoRR Dongdong Chen, Mike E. Davies
2019	Misc	`conf`	Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing. ICASSP Yoann Altmann, Alessandro Perelli, Mike E. Davies
2019	Misc	`conf`	Geometry of Deep Learning for Magnetic Resonance Fingerprinting. ICASSP Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies
2019	Misc	`conf`	Hyper-parameter Learning for Sparse Structured Probabilistic Models. ICASSP Tatiana Shpakova, Francis R. Bach, Mike E. Davies
2019	J	`jnl`	Revisiting hard thresholding for DNN pruning. CoRR Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst
2019	—	`conf`	Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. MICCAI (6) Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson
2019	J	`jnl`	Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. CoRR Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson
2019	J	`jnl`	Sparsity-Driven GMTI Processing Framework With Multichannel SAR. IEEE Trans. Geosci. Remote. Sens. Di Wu, Mehrdad Yaghoobi, Mike E. Davies
2019	Misc	`conf`	The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems. ICASSP Junqi Tang, Karen O. Egiazarian, Mike E. Davies
2019	J	`jnl`	The Practicality of Stochastic Optimization in Imaging Inverse Problems. CoRR Junqi Tang, Karen O. Egiazarian, Mohammad Golbabaee, Mike E. Davies
2018	J	`jnl`	A deep learning approach for Magnetic Resonance Fingerprinting. CoRR Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies
2018	—	`conf`	Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs. GlobalSIP Madeleine S. Kotzagiannidis, Mike E. Davies
2018	J	`jnl`	Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs. CoRR Madeleine S. Kotzagiannidis, Mike E. Davies
2018	J	`jnl`	Analysis vs Synthesis with Structure - An Investigation of Union of Subspace Models on Graphs. CoRR Madeleine S. Kotzagiannidis, Mike E. Davies
2018	—	`conf`	Anomaly Detection with High Resolution Hyperspectral Observations. GlobalSIP Cecile Chenot, Mehrdad Yaghoobi, Mike E. Davies, Yoann Altmann
2018	J	`jnl`	Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF. CoRR Arnold Julian Vinoj Benjamin, Pedro A. Gómez, Mohammad Golbabaee, Tim Sprenger, Marion I. Menzel, Mike E. Davies, Ian Marshall
2018	J	`jnl`	CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction. CoRR Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies
2018	J	`jnl`	CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery. CoRR Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies
2018	—	`conf`	Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss. MICCAI (1) Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze
2018	J	`jnl`	Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss. CoRR Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze
2018	J	`jnl`	FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees. CoRR Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst
2018	—	`conf`	Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net. RAMBO+BIA+TIA@MICCAI Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson
2018	J	`jnl`	Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net. CoRR Heyi Li, Dongdong Chen, Bill Nailon, Mike E. Davies, Dave Laurenson
2018	J	`jnl`	Inexact Gradient Projection and Fast Data Driven Compressed Sensing. IEEE Trans. Inf. Theory Mohammad Golbabaee, Mike E. Davies
2018	J	`jnl`	Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine. CoRR Dongdong Chen, Jiancheng Lv, Mike E. Davies
2018	J	`jnl`	PAC-Bayesian Margin Bounds for Convolutional Neural Networks - Technical Report. CoRR Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst
2018	J	`jnl`	Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing. IEEE J. Sel. Top. Signal Process. Gabor Hannak, Alessandro Perelli, Norbert Goertz, Gerald Matz, Mike E. Davies
2018	A*	`conf`	Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes. NeurIPS Junqi Tang, Mohammad Golbabaee, Francis R. Bach, Mike E. Davies
2017	—	`conf`	A Monte Carlo Framework for Low Dose CT Reconstruction Testing. SASHIMI@MICCAI Jonathan H. Mason, William H. Nailon, Mike E. Davies
2017	—	`conf`	Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT? MIUA Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies
2017	J	`jnl`	Compressed sensing in Hilbert spaces. CoRR Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies
2017	—	`conf`	Cover tree compressed sensing for fast mr fingerprint recovery. MLSP Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies
2017	—	`conf`	Exploiting the structure via sketched gradient algorithms. GlobalSIP Junqi Tang, Mohammad Golbabaee, Mike E. Davies
2017	A*	`conf`	Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares. ICML Junqi Tang, Mohammad Golbabaee, Mike E. Davies
2017	J	`jnl`	Inexact Gradient Projection and Fast Data Driven Compressed Sensing. CoRR Mohammad Golbabaee, Mike E. Davies
2017	—	`conf`	Multi denoising approximate message passing for optimal recovery with lower computational cost. EUSIPCO Alessandro Perelli, Mike E. Davies
2017	J	`jnl`	Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing. CoRR Gabor Hannak, Alessandro Perelli, Norbert Goertz, Gerald Matz, Mike E. Davies
2017	—	`conf`	Quantitative Electron Density CT Imaging for Radiotherapy Planning. MIUA Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies
2017	J	`jnl`	Recipes for Stable Linear Embeddings From Hilbert Spaces to ℝ IEEE Trans. Inf. Theory Gilles Puy, Mike E. Davies, Rémi Gribonval
2017	—	`conf`	Time-data trade-off in the sparse Fourier transform. EUSIPCO Abdulmalik Aldharrab, Mike E. Davies
2016	—	`conf`	A new approach for multi-dimensional signal processing and modelling for signals from gel electrophoresis. EUSIPCO Ebtihal H. G. Yousif, James R. Hopgood, John S. Thompson, Mike E. Davies
2016	J	`jnl`	Denoising Message Passing for X-ray Computed Tomography Reconstruction. CoRR Alessandro Perelli, Michael A. Lexa, Ali Can, Mike E. Davies
2015	—	`conf`	Compressive computed tomography image reconstruction with denoising message passing algorithms. EUSIPCO Alessandro Perelli, Mike E. Davies
2015	J	`jnl`	Dictionary Learning for Fast Classification Based on Soft-thresholding. Int. J. Comput. Vis. Alhussein Fawzi, Mike E. Davies, Pascal Frossard
2015	J	`jnl`	Fast Non-Negative Orthogonal Matching Pursuit. IEEE Signal Process. Lett. Mehrdad Yaghoobi, Di Wu, Mike E. Davies
2015	—	`conf`	Fast non-negative orthogonal least squares. EUSIPCO Mehrdad Yaghoobi, Mike E. Davies
2015	—	`conf`	Linear embeddings of low-dimensional subsets of a Hilbert space to R EUSIPCO Gilles Puy, Mike E. Davies, Rémi Gribonval
2015	J	`jnl`	Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing. IEEE Trans. Signal Process. Chunli Guo, Mike E. Davies
2015	J	`jnl`	Recipes for stable linear embeddings from Hilbert spaces to $\mathbb{R}^m$. CoRR Gilles Puy, Mike E. Davies, Rémi Gribonval
2014	J	`jnl`	A Compressed Sensing Framework for Magnetic Resonance Fingerprinting. SIAM J. Imaging Sci. Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
2014	Misc	`conf`	A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers. ICASSP Mehrdad Yaghoobi, Michael A. Lexa, Fabien Millioz, Mike E. Davies
2014	—	`conf`	Bayesian optimal compressed sensing without priors: Parametric sure approximate message passing. EUSIPCO Chunli Guo, Mike E. Davies
2014	Misc	`conf`	Compressed quantitative MRI: Bloch response recovery through iterated projection. ICASSP Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
2014	J	`jnl`	Dictionary learning for fast classification based on soft-thresholding. CoRR Alhussein Fawzi, Mike E. Davies, Pascal Frossard
2014	J	`jnl`	Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems. IEEE Trans. Inf. Theory Anthony Bourrier, Mike E. Davies, Tomer Peleg, Patrick Pérez, Rémi Gribonval
2014	J	`jnl`	Iterative Recovery of Dense Signals from Incomplete Measurements. IEEE Signal Process. Lett. Norbert Goertz, Chunli Guo, Alexander Jung, Mike E. Davies, Gerhard Doblinger
2014	Misc	`conf`	Modulated measurement matrix design for compressed sensing. ICASSP Chunli Guo, Mike E. Davies
2014	J	`jnl`	Near optimal compressed sensing without priors: Parametric SURE Approximate Message Passing. CoRR Chunli Guo, Mike E. Davies
2014	J	`jnl`	Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic
2014	J	`jnl`	Sparsity-based autofocus for undersampled synthetic aperture radar. IEEE Trans. Aerosp. Electron. Syst. Shaun Kelly, Mehrdad Yaghoobi, Mike E. Davies
2013	J	`jnl`	A Compressed Sensing Framework for Magnetic Resonance Fingerprinting. CoRR Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
2013	J	`jnl`	Compressed Quantitative MRI: Bloch Response Recovery through Iterated Projection. CoRR Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux
2013	—	`conf`	Compressed sensing and best approximation from unions of subspaces: Beyond dictionaries. EUSIPCO Tomer Peleg, Rémi Gribonval, Mike E. Davies
2013	J	`jnl`	Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling. IEEE Trans. Signal Process. Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies
2013	J	`jnl`	Fundamental performance limits for ideal decoders in high-dimensional linear inverse problems. CoRR Anthony Bourrier, Mike E. Davies, Tomer Peleg, Patrick Pérez, Rémi Gribonval
2013	J	`jnl`	Sample Distortion for Compressed Imaging CoRR Chunli Guo, Mike E. Davies
2013	J	`jnl`	Sample Distortion for Compressed Imaging. IEEE Trans. Signal Process. Chunli Guo, Mike E. Davies
2013	Misc	`conf`	Sample allocation for statistical multiresolution compressed sensing. ICASSP Chunli Guo, Mike E. Davies
2012	J	`jnl`	Advanced image formation and processing of partial synthetic aperture radar data. IET Signal Process. Shaun Kelly, Chaoran Du, Gabriel Rilling, Mike E. Davies
2012	J	`jnl`	Compressible Distributions for High-Dimensional Statistics. IEEE Trans. Inf. Theory Rémi Gribonval, Volkan Cevher, Mike E. Davies
2012	J	`jnl`	Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling CoRR Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies
2012	J	`jnl`	Rank Awareness in Joint Sparse Recovery. IEEE Trans. Inf. Theory Mike E. Davies, Yonina C. Eldar
2012	J	`jnl`	Reconciling Compressive Sampling Systems for Spectrally Sparse Continuous-Time Signals. IEEE Trans. Signal Process. Michael A. Lexa, Mike E. Davies, John S. Thompson
2012	J	`jnl`	Recovery Guarantees for Rank Aware Pursuits. IEEE Signal Process. Lett. Jeffrey D. Blanchard, Mike E. Davies
2011	J	`jnl`	A New Framework for Underdetermined Speech Extraction Using Mixture of Beamformers. IEEE Trans. Speech Audio Process. Mohammad A. Dmour, Mike E. Davies
2011	—	`conf`	Analysis operator learning for overcomplete cosparse representations. EUSIPCO Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies
2011	J	`jnl`	Compressible Distributions for High-dimensional Statistics. CoRR Rémi Gribonval, Volkan Cevher, Mike E. Davies
2011	J	`jnl`	Compressive and Noncompressive Power Spectral Density Estimation from Periodic Nonuniform Samples CoRR Michael A. Lexa, Mike E. Davies, John S. Thompson
2011	Misc	`conf`	Compressive power spectral density estimation. ICASSP Michael A. Lexa, Mike E. Davies, John S. Thompson, Janosch Nikolic
2011	—	`conf`	Iterative cosparse projection algorithms for the recovery of cosparse vectors. EUSIPCO Raja Giryes, Sangnam Nam, Rémi Gribonval, Mike E. Davies
2011	J	`jnl`	Reconciling Compressive Sampling Systems for Spectrally-sparse Continuous-time Signals CoRR Michael A. Lexa, Mike E. Davies, John S. Thompson
2011	—	`conf`	Sample-distortion functions for compressed sensing. Allerton Mike E. Davies, Chunli Guo
2011	J	`jnl`	The Cosparse Analysis Model and Algorithms CoRR Sangnam Nam, Mike E. Davies, Michael Elad, Rémi Gribonval
2010	—	`conf`	Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach. LVA/ICA Mehrdad Yaghoobi, Mike E. Davies
2010	J	`jnl`	Rank Awareness in Joint Sparse Recovery CoRR Mike E. Davies, Yonina C. Eldar
2010	J	`jnl`	Sparse Representations in Audio and Music: From Coding to Source Separation. Proc. IEEE Mark D. Plumbley, Thomas Blumensath, Laurent Daudet, Rémi Gribonval, Mike E. Davies
2009	Misc	`conf`	A simple, efficient and near optimal algorithm for compressed sensing. ICASSP Thomas Blumensath, Mike E. Davies
2009	J	`jnl`	Dictionary learning for sparse approximations with the majorization method. IEEE Trans. Signal Process. Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
2009	J	`jnl`	Parametric dictionary design for sparse coding. IEEE Trans. Signal Process. Mehrdad Yaghoobi, Laurent Daudet, Mike E. Davies
2009	J	`jnl`	Stagewise weak gradient pursuits. IEEE Trans. Signal Process. Thomas Blumensath, Mike E. Davies
2008	J	`jnl`	An adaptive stereo basis method for convolutive blind audio source separation. Neurocomputing Maria G. Jafari, Emmanuel Vincent, Samer A. Abdallah, Mark D. Plumbley, Mike E. Davies
2008	—	`conf`	Gradient pursuit for non-linear sparse signal modelling. EUSIPCO Thomas Blumensath, Mike E. Davies
2008	J	`jnl`	Iterative Hard Thresholding for Compressed Sensing CoRR Thomas Blumensath, Mike E. Davies
2008	—	`conf`	Regularized dictionary learning for sparse approximation. EUSIPCO Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
2007	J	`jnl`	Audio source separation with a signal-adaptive local cosine transform. Signal Process. Andrew Nesbit, Mark D. Plumbley, Mike E. Davies
2007	—	`ch.`	Blind Source Separation using Space-Time Independent Component Analysis. Blind Speech Separation Mike E. Davies, Maria G. Jafari, Samer A. Abdallah, Emmanuel Vincent, Mark D. Plumbley
2007	—	`conf`	Compressed Sensing and Source Separation. ICA Thomas Blumensath, Mike E. Davies
2007	—	`conf`	In greedy PURSUIT of new directions: (Nearly) Orthogonal Matching Pursuit by directional optimisation. EUSIPCO Thomas Blumensath, Mike E. Davies
2007	—	`ed.`	Independent Component Analysis and Signal Separation, 7th International Conference, ICA 2007, London, UK, September 9-12, 2007. ICA Mike E. Davies, Christopher J. James, Samer A. Abdallah, Mark D. Plumbley
2007	—	`conf`	Iterative Hard Thresholding and L0 Regularisation. ICASSP (3) Thomas Blumensath, Mehrdad Yaghoobi, Mike E. Davies
2007	—	`conf`	Quantized Sparse Approximation with Iterative Thresholding for Audio Coding. ICASSP (1) Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
2007	J	`jnl`	Source separation using single channel ICA. Signal Process. Mike E. Davies, Christopher J. James
2007	—	`conf`	Space-Time ICA and EM Brain Signals. ICA Mike E. Davies, Christopher J. James, Suogang Wang
2006	—	`conf`	A multi-channel maximum likelihood approach to de-reverberation. EUSIPCO Massimiliano Tonelli, Maria G. Jafari, Mike E. Davies
2006	—	`conf`	Embedding side information into a speech codec residual. EUSIPCO Nicolas Chetry, Mike E. Davies
2006	J	`jnl`	On the analysis of single versus multiple channels of electromagnetic brain signals. Artif. Intell. Medicine Christopher J. James, Oliver J. Gibson, Mike E. Davies
2006	—	`conf`	Source extraction from two-channel mixtures by joint cosine packet analysis. EUSIPCO Andrew Nesbit, Mike E. Davies, Mark D. Plumbley, Mark B. Sandler
2006	—	`conf`	Sparse Coding for Convolutive Blind Audio Source Separation. ICA Maria G. Jafari, Samer A. Abdallah, Mark D. Plumbley, Mike E. Davies
2006	J	`jnl`	Sparse and shift-Invariant representations of music. IEEE Trans. Speech Audio Process. Thomas Blumensath, Mike E. Davies
2006	J	`jnl`	Sparse audio representations using the MCLT. Signal Process. Mike E. Davies, Laurent Daudet
2005	J	`jnl`	A Tutorial on Onset Detection in Music Signals. IEEE Trans. Speech Audio Process. Juan Pablo Bello, Laurent Daudet, Samer A. Abdallah, Chris Duxbury, Mike E. Davies, Mark B. Sandler
2005	—	`conf`	A fast importance sampling algorithm for unsupervised learning of over-complete dictionaries. ICASSP (5) Thomas Blumensath, Mike E. Davies
2004	—	`conf`	An efficient two-stage implementation of harmonic matching pursuit. EUSIPCO Chris Duxbury, Nicolas Chetry, Mark B. Sandler, Mike E. Davies
2004	—	`conf`	Fast sparse subband decomposition using FIRSP. EUSIPCO Mike E. Davies, Laurent Daudet
2004	—	`conf`	On Shift-Invariant Sparse Coding. ICA Thomas Blumensath, Mike E. Davies
2004	J	`jnl`	On the use of phase and energy for musical onset detection in the complex domain. IEEE Signal Process. Lett. Juan Pablo Bello, Chris Duxbury, Mike E. Davies, Mark B. Sandler
2004	—	`conf`	Unsupervised learning of sparse and shift-invariant decompositions of polyphonic music. ICASSP (5) Thomas Blumensath, Mike E. Davies
2003	J	`jnl`	Delay Embeddings for Forced Systems. II. Stochastic Forcing. J. Nonlinear Sci. Jaroslav Stark, David S. Broomhead, Mike E. Davies, Jeremy P. Huke
2002	J	`jnl`	Automatic Music Transcription and Audio Source Separation. Cybern. Syst. Mark D. Plumbley, Samer A. Abdallah, Juan Pablo Bello, Mike E. Davies, Giuliano Monti, Mark B. Sandler