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ORCIDMike E. Davies 0001
Michael E. Davies 0001 – Michael Evan Davies 0001
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- affiliation: Edinburgh University, Institute of Digital Communications (IDCOM), United Kingdom
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Journal Articles
- 2024
[j59]Michael P. Sheehan
, Julián Tachella, Mike E. Davies:
Spline Sketches: An Efficient Approach for Photon Counting Lidar. IEEE Trans. Computational Imaging 10: 863-875 (2024)- 2023
- [j58]Julián Tachella, Dongdong Chen, Mike E. Davies:
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems. J. Mach. Learn. Res. 24: 39:1-39:45 (2023) - [j57]Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella:
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. IEEE Signal Process. Mag. 40(1): 134-147 (2023) - [j56]Nikolajs Skuratovs, Mike E. Davies:
Divergence Estimation in Message Passing Algorithms. IEEE Trans. Inf. Theory 69(11): 7461-7477 (2023) - [j55]Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood:
Adaptive Kernel Kalman Filter. IEEE Trans. Signal Process. 71: 713-726 (2023) - 2022
- [j54]Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood:
Adaptive Kernel Kalman Filter Based Belief Propagation Algorithm for Maneuvering Multi-Target Tracking. IEEE Signal Process. Lett. 29: 1452-1456 (2022) - [j53]Abdulmalik Aldharrab, Mike E. Davies:
Staggered Coprime Pulse Repetition Frequencies Synthetic Aperture Radar (SCopSAR). IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j52]Nikolajs Skuratovs, Michael E. Davies:
Compressed Sensing With Upscaled Vector Approximate Message Passing. IEEE Trans. Inf. Theory 68(7): 4818-4836 (2022) - [j51]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson:
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. IEEE Trans. Medical Imaging 41(1): 3-13 (2022) - 2021
- [j50]Ahmed Karam Eldaly, Ming Fang, Angela Di Fulvio, Steve McLaughlin, Mike E. Davies, Yoann Altmann, Yves Wiaux:
Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography. J. Imaging 7(10): 212 (2021) - [j49]Mohammad Golbabaee, Guido Buonincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez:
Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks. Medical Image Anal. 69: 101945 (2021) - [j48]Derek Driggs, Junqi Tang, Jingwei Liang, Mike E. Davies, Carola-Bibiane Schönlieb:
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization. SIAM J. Imaging Sci. 14(4): 1932-1970 (2021) - [j47]Michael P. Sheehan, Julián Tachella, Mike E. Davies:
A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar. IEEE Trans. Computational Imaging 7: 989-1004 (2021) - [j46]Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Steve McLaughlin, Michael E. Davies:
Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences. IEEE Trans. Image Process. 30: 1716-1727 (2021) - 2020
- [j45]Alessandro Perelli, Michael A. Lexa, Ali Can, Mike E. Davies:
Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing. SIAM J. Imaging Sci. 13(4): 1860-1897 (2020) - [j44]Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques:
($\ell _1, \ell _2$)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements. IEEE Signal Process. Lett. 27: 396-400 (2020) - [j43]Junqi Tang, Karen O. Egiazarian, Mohammad Golbabaee, Mike E. Davies:
The Practicality of Stochastic Optimization in Imaging Inverse Problems. IEEE Trans. Computational Imaging 6: 1471-1485 (2020) - [j42]Yoann Altmann, Steve McLaughlin, Michael E. Davies:
Fast Online 3D Reconstruction of Dynamic Scenes From Individual Single-Photon Detection Events. IEEE Trans. Image Process. 29: 2666-2675 (2020) - 2019
- [j41]Di Wu, Mehrdad Yaghoobi, Mike E. Davies:
Sparsity-Driven GMTI Processing Framework With Multichannel SAR. IEEE Trans. Geosci. Remote. Sens. 57(3): 1434-1447 (2019) - 2018
- [j40]Gabor Hannak, Alessandro Perelli, Norbert Goertz, Gerald Matz, Mike E. Davies:
Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing. IEEE J. Sel. Top. Signal Process. 12(5): 857-870 (2018) - [j39]Mohammad Golbabaee, Mike E. Davies:
Inexact Gradient Projection and Fast Data Driven Compressed Sensing. IEEE Trans. Inf. Theory 64(10): 6707-6721 (2018) - 2017
- [j38]Gilles Puy, Mike E. Davies, Rémi Gribonval:
Recipes for Stable Linear Embeddings From Hilbert Spaces to ℝm. IEEE Trans. Inf. Theory 63(4): 2171-2187 (2017) - 2015
- [j37]Alhussein Fawzi, Mike E. Davies, Pascal Frossard:
Dictionary Learning for Fast Classification Based on Soft-thresholding. Int. J. Comput. Vis. 114(2-3): 306-321 (2015) - [j36]Mehrdad Yaghoobi, Di Wu, Mike E. Davies:
Fast Non-Negative Orthogonal Matching Pursuit. IEEE Signal Process. Lett. 22(9): 1229-1233 (2015) - [j35]Chunli Guo, Mike E. Davies:
Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing. IEEE Trans. Signal Process. 63(8): 2130-2141 (2015) - 2014
- [j34]Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux:
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting. SIAM J. Imaging Sci. 7(4): 2623-2656 (2014) - [j33]Norbert Goertz, Chunli Guo, Alexander Jung, Mike E. Davies, Gerhard Doblinger:
Iterative Recovery of Dense Signals from Incomplete Measurements. IEEE Signal Process. Lett. 21(9): 1059-1063 (2014) - [j32]Shaun Kelly, Mehrdad Yaghoobi, Mike E. Davies:
Sparsity-based autofocus for undersampled synthetic aperture radar. IEEE Trans. Aerosp. Electron. Syst. 50(2): 972-986 (2014) - [j31]Anthony Bourrier, Mike E. Davies, Tomer Peleg, Patrick Pérez, Rémi Gribonval:
Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems. IEEE Trans. Inf. Theory 60(12): 7928-7946 (2014) - [j30]Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies:
Dictionary Subselection Using an Overcomplete Joint Sparsity Model. IEEE Trans. Signal Process. 62(17): 4547-4556 (2014) - 2013
- [j29]Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies:
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling. IEEE Trans. Signal Process. 61(9): 2341-2355 (2013) - [j28]Chunli Guo, Mike E. Davies:
Sample Distortion for Compressed Imaging. IEEE Trans. Signal Process. 61(24): 6431-6442 (2013) - 2012
- [j27]Shaun Kelly, Chaoran Du, Gabriel Rilling, Mike E. Davies:
Advanced image formation and processing of partial synthetic aperture radar data. IET Signal Process. 6(5): 511-520 (2012) - [j26]Jeffrey D. Blanchard, Mike E. Davies:
Recovery Guarantees for Rank Aware Pursuits. IEEE Signal Process. Lett. 19(7): 427-430 (2012) - [j25]Mike E. Davies, Yonina C. Eldar:
Rank Awareness in Joint Sparse Recovery. IEEE Trans. Inf. Theory 58(2): 1135-1146 (2012) - [j24]Rémi Gribonval, Volkan Cevher, Mike E. Davies:
Compressible Distributions for High-Dimensional Statistics. IEEE Trans. Inf. Theory 58(8): 5016-5034 (2012) - [j23]Michael A. Lexa, Mike E. Davies, John S. Thompson:
Reconciling Compressive Sampling Systems for Spectrally Sparse Continuous-Time Signals. IEEE Trans. Signal Process. 60(1): 155-171 (2012) - 2011
- [j22]Mohammad A. Dmour, Mike E. Davies:
A New Framework for Underdetermined Speech Extraction Using Mixture of Beamformers. IEEE Trans. Speech Audio Process. 19(3): 445-457 (2011) - 2010
- [j21]Thomas Blumensath, Michael E. Davies:
Normalized Iterative Hard Thresholding: Guaranteed Stability and Performance. IEEE J. Sel. Top. Signal Process. 4(2): 298-309 (2010) - [j20]Mark D. Plumbley, Thomas Blumensath, Laurent Daudet, Rémi Gribonval, Mike E. Davies:
Sparse Representations in Audio and Music: From Coding to Source Separation. Proc. IEEE 98(6): 995-1005 (2010) - 2009
- [j19]Thomas Blumensath, Michael E. Davies:
Sampling Theorems for Signals From the Union of Finite-Dimensional Linear Subspaces. IEEE Trans. Inf. Theory 55(4): 1872-1882 (2009) - [j18]Michael Evan Davies, Rémi Gribonval:
Restricted isometry constants where lpsparse recovery can fail for 0 < p <= 1. IEEE Trans. Inf. Theory 55(5): 2203-2214 (2009) - [j17]Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies:
Dictionary learning for sparse approximations with the majorization method. IEEE Trans. Signal Process. 57(6): 2178-2191 (2009) - [j16]Thomas Blumensath, Mike E. Davies:
Stagewise weak gradient pursuits. IEEE Trans. Signal Process. 57(11): 4333-4346 (2009) - [j15]Mehrdad Yaghoobi, Laurent Daudet, Mike E. Davies:
Parametric dictionary design for sparse coding. IEEE Trans. Signal Process. 57(12): 4800-4810 (2009) - 2008
- [j14]Maria G. Jafari, Emmanuel Vincent, Samer A. Abdallah, Mark D. Plumbley, Mike E. Davies:
An adaptive stereo basis method for convolutive blind audio source separation. Neurocomputing 71(10-12): 2087-2097 (2008) - [j13]Thomas Blumensath, Michael E. Davies:
Gradient Pursuits. IEEE Trans. Signal Process. 56(6): 2370-2382 (2008) - 2007
- [j12]Mike E. Davies, Christopher J. James:
Source separation using single channel ICA. Signal Process. 87(8): 1819-1832 (2007) - [j11]Andrew Nesbit, Mark D. Plumbley, Mike E. Davies:
Audio source separation with a signal-adaptive local cosine transform. Signal Process. 87(8): 1848-1858 (2007) - [j10]Thomas Blumensath, Michael E. Davies:
Monte Carlo Methods for Adaptive Sparse Approximations of Time-Series. IEEE Trans. Signal Process. 55(9): 4474-4486 (2007) - 2006
- [j9]Christopher J. James, Oliver J. Gibson, Mike E. Davies:
On the analysis of single versus multiple channels of electromagnetic brain signals. Artif. Intell. Medicine 37(2): 131-143 (2006) - [j8]Mark D. Plumbley, Samer A. Abdallah, Thomas Blumensath, Michael E. Davies:
Sparse representations of polyphonic music. Signal Process. 86(3): 417-431 (2006) - [j7]Mike E. Davies, Laurent Daudet:
Sparse audio representations using the MCLT. Signal Process. 86(3): 457-470 (2006) - [j6]Thomas Blumensath, Mike E. Davies:
Sparse and shift-Invariant representations of music. IEEE Trans. Speech Audio Process. 14(1): 50-57 (2006) - 2005
- [j5]Juan Pablo Bello, Laurent Daudet, Samer A. Abdallah, Chris Duxbury, Mike E. Davies, Mark B. Sandler:
A Tutorial on Onset Detection in Music Signals. IEEE Trans. Speech Audio Process. 13(5-2): 1035-1047 (2005) - 2004
- [j4]Juan Pablo Bello, Chris Duxbury, Mike E. Davies, Mark B. Sandler:
On the use of phase and energy for musical onset detection in the complex domain. IEEE Signal Process. Lett. 11(6): 553-556 (2004) - 2003
- [j3]Jaroslav Stark, David S. Broomhead, Mike E. Davies, Jeremy P. Huke:
Delay Embeddings for Forced Systems. II. Stochastic Forcing. J. Nonlinear Sci. 13(6): 519-577 (2003) - [j2]Nikolaos Mitianoudis, Michael E. Davies:
Audio source separation of convolutive mixtures. IEEE Trans. Speech Audio Process. 11(5): 489-497 (2003) - 2002
- [j1]Mark D. Plumbley, Samer A. Abdallah, Juan Pablo Bello, Mike E. Davies, Giuliano Monti, Mark B. Sandler:
Automatic Music Transcription and Audio Source Separation. Cybern. Syst. 33(6): 603-627 (2002)
Conference and Workshop Papers
- 2024
- [c80]James S. Wright, Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood:
Implementation of AKKF-based Multi-Sensor Fusion Methods in Stone Soup. FUSION 2024: 1-7 - 2023
- [c79]Michael P. Sheehan, Julián Tachella, Mike E. Davies:
Hardware Friendly Spline Sketched Lidar. ICASSP 2023: 1-5 - 2022
- [c78]Dongdong Chen, Julián Tachella, Mike E. Davies:
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. CVPR 2022: 5637-5646 - [c77]Julián Tachella, Michael P. Sheehan, Mike E. Davies:
Sketched RT3D: How to Reconstruct Billions of Photons Per Second. ICASSP 2022: 1566-1570 - [c76]Dongdong Chen, Mike E. Davies, Mohammad Golbabaee:
Deep Unrolling for Magnetic Resonance Fingerprinting. ISBI 2022: 1-4 - [c75]Nikolajs Skuratovs, Mike E. Davies:
Warm-Starting in Message Passing algorithms. ISIT 2022: 1187-1192 - [c74]Sofie Macdonald, Ian K. Proudler, Michael E. Davies, James R. Hopgood:
Performance Evaluation of Simultaneous Sensor Registration and Object Tracking Algorithm. MFI 2022: 1-6 - [c73]Julián Tachella, Dongdong Chen, Mike E. Davies:
Unsupervised Learning From Incomplete Measurements for Inverse Problems. NeurIPS 2022 - 2021
- [c72]Julián Tachella, Junqi Tang, Mike E. Davies:
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters. CVPR 2021: 8618-8627 - [c71]Michael P. Sheehan, Julián Tachella, Mike E. Davies:
Surface Detection for Sketched Single Photon Lidar. EUSIPCO 2021: 621-625 - [c70]Mengwei Sun, Michael E. Davies, James R. Hopgood, Ian K. Proudler:
Adaptive Kernel Kalman Filter Multi-Sensor Fusion. FUSION 2021: 1-8 - [c69]Dongdong Chen, Julián Tachella, Mike E. Davies:
Equivariant Imaging: Learning Beyond the Range Space. ICCV 2021: 4359-4368 - 2020
- [c68]Dongdong Chen, Mike E. Davies:
Deep Decomposition Learning for Inverse Imaging Problems. ECCV (28) 2020: 510-526 - [c67]Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi:
DeepMP for Non-Negative Sparse Decomposition. EUSIPCO 2020: 2035-2039 - [c66]Dan Yao, Yoann Altmann, Steve McLaughlin, Mike E. Davies:
Joint Robust Linear Regression and Anomaly Detection in Poisson noise using Expectation-Propagation. EUSIPCO 2020: 2463-2467 - [c65]Dongdong Chen, Mike E. Davies, Mohammad Golbabaee:
Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations. MICCAI (2) 2020: 13-22 - 2019
- [c64]Michael P. Sheehan, Madeleine S. Kotzagiannidis, Mike E. Davies:
Compressive Independent Component Analysis. EUSIPCO 2019: 1-5 - [c63]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson:
A Deep Dual-path Network for Improved Mammogram Image Processing. ICASSP 2019: 1224-1228 - [c62]Tatiana Shpakova, Francis R. Bach, Mike E. Davies:
Hyper-parameter Learning for Sparse Structured Probabilistic Models. ICASSP 2019: 3347-3351 - [c61]Yoann Altmann, Alessandro Perelli, Mike E. Davies:
Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing. ICASSP 2019: 5067-5071 - [c60]Junqi Tang, Karen O. Egiazarian, Mike E. Davies:
The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems. ICASSP 2019: 7680-7684 - [c59]Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies:
Geometry of Deep Learning for Magnetic Resonance Fingerprinting. ICASSP 2019: 7825-7829 - [c58]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson:
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. MICCAI (6) 2019: 486-494 - 2018
- [c57]Madeleine S. Kotzagiannidis, Mike E. Davies:
Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs. GlobalSIP 2018: 698-702 - [c56]Cecile Chenot, Mehrdad Yaghoobi, Mike E. Davies, Yoann Altmann:
Anomaly Detection with High Resolution Hyperspectral Observations. GlobalSIP 2018: 963-967 - [c55]Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze:
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss. MICCAI (1) 2018: 39-47 - [c54]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson:
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net. RAMBO+BIA+TIA@MICCAI 2018: 81-89 - [c53]Junqi Tang, Mohammad Golbabaee, Francis R. Bach, Mike E. Davies:
Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes. NeurIPS 2018: 427-438 - 2017
- [c52]Abdulmalik Aldharrab, Mike E. Davies:
Time-data trade-off in the sparse Fourier transform. EUSIPCO 2017: 2116-2120 - [c51]Alessandro Perelli, Mike E. Davies:
Multi denoising approximate message passing for optimal recovery with lower computational cost. EUSIPCO 2017: 2131-2135 - [c50]Junqi Tang, Mohammad Golbabaee, Mike E. Davies:
Exploiting the structure via sketched gradient algorithms. GlobalSIP 2017: 1305-1309 - [c49]Junqi Tang, Mohammad Golbabaee, Mike E. Davies:
Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares. ICML 2017: 3377-3386 - [c48]Jonathan H. Mason, William H. Nailon, Mike E. Davies:
A Monte Carlo Framework for Low Dose CT Reconstruction Testing. SASHIMI@MICCAI 2017: 79-88 - [c47]Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies:
Quantitative Electron Density CT Imaging for Radiotherapy Planning. MIUA 2017: 297-308 - [c46]Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies:
Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT? MIUA 2017: 629-640 - [c45]Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies:
Cover tree compressed sensing for fast mr fingerprint recovery. MLSP 2017: 1-6 - 2016
- [c44]Ebtihal H. G. Yousif, James R. Hopgood, John S. Thompson, Mike E. Davies:
A new approach for multi-dimensional signal processing and modelling for signals from gel electrophoresis. EUSIPCO 2016: 682-686 - 2015
- [c43]Gilles Puy, Mike E. Davies, Rémi Gribonval:
Linear embeddings of low-dimensional subsets of a Hilbert space to Rm. EUSIPCO 2015: 469-473 - [c42]Mehrdad Yaghoobi, Mike E. Davies:
Fast non-negative orthogonal least squares. EUSIPCO 2015: 479-483 - [c41]Alessandro Perelli, Mike E. Davies:
Compressive computed tomography image reconstruction with denoising message passing algorithms. EUSIPCO 2015: 2806-2810 - 2014
- [c40]Chunli Guo, Mike E. Davies:
Bayesian optimal compressed sensing without priors: Parametric sure approximate message passing. EUSIPCO 2014: 1347-1351 - [c39]Mehrdad Yaghoobi, Michael A. Lexa, Fabien Millioz, Mike E. Davies:
A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers. ICASSP 2014: 1788-1792 - [c38]Chunli Guo, Mike E. Davies:
Modulated measurement matrix design for compressed sensing. ICASSP 2014: 2337-2341 - [c37]Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux:
Compressed quantitative MRI: Bloch response recovery through iterated projection. ICASSP 2014: 6899-6903 - 2013
- [c36]Tomer Peleg, Rémi Gribonval, Mike E. Davies:
Compressed sensing and best approximation from unions of subspaces: Beyond dictionaries. EUSIPCO 2013: 1-5 - [c35]Chunli Guo, Mike E. Davies:
Sample allocation for statistical multiresolution compressed sensing. ICASSP 2013: 5479-5483 - 2012
- [c34]Afsaneh Asaei, Michael E. Davies, Hervé Bourlard, Volkan Cevher:
Computational methods for structured sparse component analysis of convolutive speech mixtures. ICASSP 2012: 2425-2428 - [c33]Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Michael E. Davies:
Noise aware analysis operator learning for approximately cosparse signals. ICASSP 2012: 5409-5412 - 2011
- [c32]Mike E. Davies, Chunli Guo:
Sample-distortion functions for compressed sensing. Allerton 2011: 902-908 - [c31]Sangnam Nam, Michael E. Davies, Michael Elad, Rémi Gribonval:
Recovery of cosparse signals with Greedy Analysis Pursuit in the presence of noise. CAMSAP 2011: 361-364 - [c30]Raja Giryes, Sangnam Nam, Rémi Gribonval, Mike E. Davies:
Iterative cosparse projection algorithms for the recovery of cosparse vectors. EUSIPCO 2011: 1460-1464 - [c29]Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies:
Analysis operator learning for overcomplete cosparse representations. EUSIPCO 2011: 1470-1474 - [c28]Fabien Millioz, Michael E. Davies:
Detection and segmentation of fmcw radar signals based on the chirplet transform. ICASSP 2011: 1765-1768 - [c27]Michael A. Lexa, Mike E. Davies, John S. Thompson, Janosch Nikolic:
Compressive power spectral density estimation. ICASSP 2011: 3884-3887 - [c26]Sangnam Nam, Michael E. Davies, Michael Elad, Rémi Gribonval:
Cosparse analysis modeling - uniqueness and algorithms. ICASSP 2011: 5804-5807 - 2010
- [c25]Mehrdad Yaghoobi, Mike E. Davies:
Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach. LVA/ICA 2010: 410-417 - [c24]Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies:
Structured and incoherent parametric dictionary design. ICASSP 2010: 5486-5489 - 2009
- [c23]Mohammad A. Dmour, Michael E. Davies:
An approach to under-determined speech separation based on a non-linear mixture of beamformers. EUSIPCO 2009: 1452-1456 - [c22]Mehrdad Yaghoobi, Thomas Blumensath, Michael E. Davies:
Parsimonious dictionary learning. ICASSP 2009: 2869-2872 - [c21]Thomas Blumensath, Mike E. Davies:
A simple, efficient and near optimal algorithm for compressed sensing. ICASSP 2009: 3357-3360 - 2008
- [c20]Thomas Blumensath, Mike E. Davies:
Gradient pursuit for non-linear sparse signal modelling. EUSIPCO 2008: 1-5 - [c19]Mohammad A. Dmour, Michael E. Davies:
Under-determined speech separation using GMM-based non-linear beamforming. EUSIPCO 2008: 1-5 - [c18]Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies:
Regularized dictionary learning for sparse approximation. EUSIPCO 2008: 1-5 - [c17]Bernard Mulgrew, Michael E. Davies:
Approximate lower bounds for rate-distortion in compressive sensing systems. ICASSP 2008: 3849-3852 - 2007
- [c16]Thomas Blumensath, Mike E. Davies:
In greedy PURSUIT of new directions: (Nearly) Orthogonal Matching Pursuit by directional optimisation. EUSIPCO 2007: 340-344 - [c15]Thomas Blumensath, Mike E. Davies:
Compressed Sensing and Source Separation. ICA 2007: 341-348 - [c14]Mike E. Davies, Christopher J. James, Suogang Wang:
Space-Time ICA and EM Brain Signals. ICA 2007: 577-584 - [c13]Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies:
Quantized Sparse Approximation with Iterative Thresholding for Audio Coding. ICASSP (1) 2007: 257-260 - [c12]Thomas Blumensath, Mehrdad Yaghoobi, Mike E. Davies:
Iterative Hard Thresholding and L0 Regularisation. ICASSP (3) 2007: 877-880 - 2006
- [c11]Nicolas Chetry, Mike E. Davies:
Embedding side information into a speech codec residual. EUSIPCO 2006: 1-4 - [c10]Andrew Nesbit, Mike E. Davies, Mark D. Plumbley, Mark B. Sandler:
Source extraction from two-channel mixtures by joint cosine packet analysis. EUSIPCO 2006: 1-5 - [c9]Massimiliano Tonelli, Maria G. Jafari, Mike E. Davies:
A multi-channel maximum likelihood approach to de-reverberation. EUSIPCO 2006: 1-4 - [c8]Maria G. Jafari, Samer A. Abdallah, Mark D. Plumbley, Mike E. Davies:
Sparse Coding for Convolutive Blind Audio Source Separation. ICA 2006: 132-139 - 2005
- [c7]Thomas Blumensath, Mike E. Davies:
A fast importance sampling algorithm for unsupervised learning of over-complete dictionaries. ICASSP (5) 2005: 213-216 - 2004
- [c6]Mike E. Davies, Laurent Daudet:
Fast sparse subband decomposition using FIRSP. EUSIPCO 2004: 1665-1668 - [c5]Chris Duxbury, Nicolas Chetry, Mark B. Sandler, Mike E. Davies:
An efficient two-stage implementation of harmonic matching pursuit. EUSIPCO 2004: 2271-2274 - [c4]Nikolaos Mitianoudis, Michael E. Davies:
Permutation Alignment for Frequency Domain ICA Using Subspace Beamforming Methods. ICA 2004: 669-676 - [c3]Thomas Blumensath, Mike E. Davies:
On Shift-Invariant Sparse Coding. ICA 2004: 1205-1212 - [c2]Thomas Blumensath, Mike E. Davies:
Unsupervised learning of sparse and shift-invariant decompositions of polyphonic music. ICASSP (5) 2004: 497-500 - 2003
- [c1]Nikolaos Mitianoudis, Michael E. Davies:
Using beamforming in the audio source separation problem. ISSPA (2) 2003: 89-92
Parts in Books or Collections
- 2012
- [p2]Thomas Blumensath, Michael E. Davies, Gabriel Rilling:
Greedy algorithms for compressed sensing. Compressed Sensing 2012: 348-393 - 2007
- [p1]Mike E. Davies, Maria G. Jafari, Samer A. Abdallah, Emmanuel Vincent, Mark D. Plumbley:
Blind Source Separation using Space-Time Independent Component Analysis. Blind Speech Separation 2007: 79-99
Editorship
- 2007
- [e1]Mike E. Davies, Christopher J. James, Samer A. Abdallah, Mark D. Plumbley:
Independent Component Analysis and Signal Separation, 7th International Conference, ICA 2007, London, UK, September 9-12, 2007. Lecture Notes in Computer Science 4666, Springer 2007, ISBN 978-3-540-74493-1 [contents]
Data and Artifacts
- 2005
- [d1]Emmanuel Vincent, Rémi Gribonval, Cédric Févotte, Andrew Nesbit, Mark D. Plumbley, Mike E. Davies, Laurent Daudet:
BASS-dB Multitrack recordings. Zenodo, 2005
Informal and Other Publications
- 2024
- [i58]Julián Tachella, Mike E. Davies, Laurent Jacques:
UNSURE: Unknown Noise level Stein's Unbiased Risk Estimator. CoRR abs/2409.01985 (2024) - 2023
- [i57]Jérémy Scanvic, Mike E. Davies, Patrice Abry, Julián Tachella:
Self-Supervised Learning for Image Super-Resolution and Deblurring. CoRR abs/2312.11232 (2023) - 2022
- [i56]Julián Tachella, Dongdong Chen, Mike E. Davies:
Sampling Theorems for Learning from Incomplete Measurements. CoRR abs/2201.12151 (2022) - [i55]Julián Tachella, Michael P. Sheehan, Mike E. Davies:
Sketched RT3D: How to reconstruct billions of photons per second. CoRR abs/2203.00952 (2022) - [i54]Julián Tachella, Dongdong Chen, Mike E. Davies:
Sampling Theorems for Unsupervised Learning in Linear Inverse Problems. CoRR abs/2203.12513 (2022) - [i53]Nikolajs Skuratovs, Mike E. Davies:
Warm-Starting in Message Passing algorithms. CoRR abs/2206.10776 (2022) - [i52]Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella:
Imaging with Equivariant Deep Learning. CoRR abs/2209.01725 (2022) - [i51]Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood:
A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking. CoRR abs/2211.14162 (2022) - 2021
- [i50]Dongdong Chen, Julián Tachella, Mike E. Davies:
Equivariant Imaging: Learning Beyond the Range Space. CoRR abs/2103.14756 (2021) - [i49]Michael P. Sheehan, Mike E. Davies:
Compressive Independent Component Analysis: Theory and Algorithms. CoRR abs/2110.08045 (2021) - [i48]Dongdong Chen, Julián Tachella, Mike E. Davies:
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. CoRR abs/2111.12855 (2021) - 2020
- [i47]Mohammad Golbabaee, Guido Bounincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez:
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders. CoRR abs/2001.08746 (2020) - [i46]Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen McLaughlin, Michael E. Davies:
Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences. CoRR abs/2004.09211 (2020) - [i45]Julián Tachella, Junqi Tang, Mike E. Davies:
CNN Denoisers as Non-Local Filters: The Neural Tangent Denoiser. CoRR abs/2006.02379 (2020) - [i44]Junqi Tang, Mike E. Davies:
A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems. CoRR abs/2006.11630 (2020) - [i43]Dongdong Chen, Mike E. Davies, Mohammad Golbabaee:
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations. CoRR abs/2006.15271 (2020) - [i42]Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi:
DeepMP for Non-Negative Sparse Decomposition. CoRR abs/2007.14281 (2020) - [i41]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson:
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. CoRR abs/2008.02957 (2020) - [i40]Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques:
One Bit to Rule Them All : Binarizing the Reconstruction in 1-bit Compressive Sensing. CoRR abs/2008.07264 (2020) - [i39]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson:
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography. CoRR abs/2012.14690 (2020) - 2019
- [i38]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson:
A Deep DUAL-PATH Network for Improved Mammogram Image Processing. CoRR abs/1903.00001 (2019) - [i37]Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst:
Revisiting hard thresholding for DNN pruning. CoRR abs/1905.08793 (2019) - [i36]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson:
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. CoRR abs/1907.00300 (2019) - [i35]Michael P. Sheehan, Antoine Gonon, Mike E. Davies:
Compressive Learning for Semi-Parametric Models. CoRR abs/1910.10024 (2019) - [i34]Junqi Tang, Karen O. Egiazarian, Mohammad Golbabaee, Mike E. Davies:
The Practicality of Stochastic Optimization in Imaging Inverse Problems. CoRR abs/1910.10100 (2019) - [i33]Dongdong Chen, Mike E. Davies:
Deep Decomposition Learning for Inverse Imaging Problems. CoRR abs/1911.11028 (2019) - [i32]Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques:
(l1, l2)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements. CoRR abs/1912.02880 (2019) - 2018
- [i31]Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst:
PAC-Bayesian Margin Bounds for Convolutional Neural Networks - Technical Report. CoRR abs/1801.00171 (2018) - [i30]Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst:
FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees. CoRR abs/1803.04239 (2018) - [i29]Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze:
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss. CoRR abs/1804.02745 (2018) - [i28]Heyi Li, Dongdong Chen, Bill Nailon, Mike E. Davies, Dave Laurenson:
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net. CoRR abs/1808.08885 (2018) - [i27]Dongdong Chen, Jiancheng Lv, Mike E. Davies:
Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine. CoRR abs/1808.09389 (2018) - [i26]Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies:
A deep learning approach for Magnetic Resonance Fingerprinting. CoRR abs/1809.01749 (2018) - [i25]Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies:
CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery. CoRR abs/1809.02503 (2018) - [i24]Arnold Julian Vinoj Benjamin, Pedro A. Gómez, Mohammad Golbabaee, Tim Sprenger, Marion I. Menzel, Mike E. Davies, Ian Marshall:
Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF. CoRR abs/1809.02506 (2018) - [i23]Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies:
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction. CoRR abs/1810.01967 (2018) - [i22]Madeleine S. Kotzagiannidis, Mike E. Davies:
Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs. CoRR abs/1811.04460 (2018) - [i21]Madeleine S. Kotzagiannidis, Mike E. Davies:
Analysis vs Synthesis with Structure - An Investigation of Union of Subspace Models on Graphs. CoRR abs/1811.04493 (2018) - 2017
- [i20]Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies:
Compressed sensing in Hilbert spaces. CoRR abs/1702.04917 (2017) - [i19]Mohammad Golbabaee, Mike E. Davies:
Inexact Gradient Projection and Fast Data Driven Compressed Sensing. CoRR abs/1706.00092 (2017) - [i18]Gabor Hannak, Alessandro Perelli, Norbert Goertz, Gerald Matz, Mike E. Davies:
Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing. CoRR abs/1712.04893 (2017) - 2016
- [i17]Alessandro Perelli, Michael A. Lexa, Ali Can, Mike E. Davies:
Denoising Message Passing for X-ray Computed Tomography Reconstruction. CoRR abs/1609.04661 (2016) - 2015
- [i16]Gilles Puy, Mike E. Davies, Rémi Gribonval:
Recipes for stable linear embeddings from Hilbert spaces to $\mathbb{R}^m$. CoRR abs/1509.06947 (2015) - 2014
- [i15]Alhussein Fawzi, Mike E. Davies, Pascal Frossard:
Dictionary learning for fast classification based on soft-thresholding. CoRR abs/1402.1973 (2014) - [i14]Chunli Guo, Mike E. Davies:
Near optimal compressed sensing without priors: Parametric SURE Approximate Message Passing. CoRR abs/1409.0440 (2014) - [i13]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:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014) - 2013
- [i12]Chunli Guo, Mike E. Davies:
Sample Distortion for Compressed Imaging. CoRR abs/1303.5492 (2013) - [i11]Anthony Bourrier, Mike E. Davies, Tomer Peleg, Patrick Pérez, Rémi Gribonval:
Fundamental performance limits for ideal decoders in high-dimensional linear inverse problems. CoRR abs/1311.6239 (2013) - [i10]Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux:
Compressed Quantitative MRI: Bloch Response Recovery through Iterated Projection. CoRR abs/1312.2457 (2013) - [i9]Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux:
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting. CoRR abs/1312.2465 (2013) - 2012
- [i8]Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies:
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling. CoRR abs/1205.4133 (2012) - [i7]Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies:
Optimal Dictionary Selection Using an Overcomplete Joint Sparsity Model. CoRR abs/1212.2834 (2012) - 2011
- [i6]Michael A. Lexa, Mike E. Davies, John S. Thompson:
Reconciling Compressive Sampling Systems for Spectrally-sparse Continuous-time Signals. CoRR abs/1101.4100 (2011) - [i5]Rémi Gribonval, Volkan Cevher, Mike E. Davies:
Compressible Distributions for High-dimensional Statistics. CoRR abs/1102.1249 (2011) - [i4]Sangnam Nam, Mike E. Davies, Michael Elad, Rémi Gribonval:
The Cosparse Analysis Model and Algorithms. CoRR abs/1106.4987 (2011) - [i3]Michael A. Lexa, Mike E. Davies, John S. Thompson:
Compressive and Noncompressive Power Spectral Density Estimation from Periodic Nonuniform Samples. CoRR abs/1110.2722 (2011) - 2010
- [i2]Mike E. Davies, Yonina C. Eldar:
Rank Awareness in Joint Sparse Recovery. CoRR abs/1004.4529 (2010) - 2008
- [i1]Thomas Blumensath, Mike E. Davies:
Iterative Hard Thresholding for Compressed Sensing. CoRR abs/0805.0510 (2008)
Coauthor Index
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