Automatic Music Transcription and Audio Source Separation. - Mark D. Plumbley; Samer A. Abdallah; Juan Pablo Bello; Mike E. Davies 001; Giuliano Monti; Mark B. Sandler (Cybern. Syst., 2002)

Using beamforming in the audio source separation problem. - Nikolaos Mitianoudis; Michael E. Davies 001 (ISSPA (2), 2003)

Delay Embeddings for Forced Systems. II. Stochastic Forcing. - Jaroslav Stark; David S. Broomhead; Mike E. Davies 001; Jeremy P. Huke (J. Nonlinear Sci., 2003)

Audio source separation of convolutive mixtures. - Nikolaos Mitianoudis; Michael E. Davies 001 (IEEE Trans. Speech Audio Process., 2003)

Fast sparse subband decomposition using FIRSP. - Mike E. Davies 001; Laurent Daudet (EUSIPCO, 2004)

An efficient two-stage implementation of harmonic matching pursuit. - Chris Duxbury; Nicolas Chetry; Mark B. Sandler; Mike E. Davies 001 (EUSIPCO, 2004)

On Shift-Invariant Sparse Coding. - Thomas Blumensath; Mike E. Davies 001 (ICA, 2004)

Identifiability, Subspace Selection and Noisy ICA. - Mike Davies 001 (ICA, 2004)

Permutation Alignment for Frequency Domain ICA Using Subspace Beamforming Methods. - Nikolaos Mitianoudis; Michael E. Davies 001 (ICA, 2004)

Unsupervised learning of sparse and shift-invariant decompositions of polyphonic music. - Thomas Blumensath; Mike E. Davies 001 (ICASSP (5), 2004)

Segmentation of moving pedestrians within the compressed domain. - Miguel T. Coimbra; Mike Davies 001 (ICASSP (3), 2004)

On the use of phase and energy for musical onset detection in the complex domain. - Juan Pablo Bello; Chris Duxbury; Mike E. Davies 001; Mark B. Sandler (IEEE Signal Process. Lett., 2004)

Identifiability issues in noisy ICA. - Mike Davies 001 (IEEE Signal Process. Lett., 2004)

A fast importance sampling algorithm for unsupervised learning of over-complete dictionaries. - Thomas Blumensath; Mike E. Davies 001 (ICASSP (5), 2005)

A Tutorial on Onset Detection in Music Signals. - Juan Pablo Bello; Laurent Daudet; Samer A. Abdallah; Chris Duxbury; Mike E. Davies 001; Mark B. Sandler (IEEE Trans. Speech Audio Process., 2005)

Approximating optical flow within the MPEG-2 compressed domain. - Miguel T. Coimbra; Mike Davies 001 (IEEE Trans. Circuits Syst. Video Technol., 2005)

BASS-dB Multitrack recordings. - Emmanuel Vincent 001; Rémi Gribonval; Cédric Févotte; Andrew Nesbit; Mark D. Plumbley; Mike E. Davies 001; Laurent Daudet (Zenodo, 2005)

Embedding side information into a speech codec residual. - Nicolas Chetry; Mike E. Davies 001 (EUSIPCO, 2006)

Source extraction from two-channel mixtures by joint cosine packet analysis. - Andrew Nesbit; Mike E. Davies 001; Mark D. Plumbley; Mark B. Sandler (EUSIPCO, 2006)

A multi-channel maximum likelihood approach to de-reverberation. - Massimiliano Tonelli; Maria G. Jafari; Mike E. Davies 001 (EUSIPCO, 2006)

Sparse Coding for Convolutive Blind Audio Source Separation. - Maria G. Jafari; Samer A. Abdallah; Mark D. Plumbley; Mike E. Davies 001 (ICA, 2006)

On the analysis of single versus multiple channels of electromagnetic brain signals. - Christopher J. James; Oliver J. Gibson; Mike E. Davies 001 (Artif. Intell. Medicine, 2006)

Sparse audio representations using the MCLT. - Mike E. Davies 001; Laurent Daudet (Signal Process., 2006)

Sparse representations of polyphonic music. - Mark D. Plumbley; Samer A. Abdallah; Thomas Blumensath; Michael E. Davies 001 (Signal Process., 2006)

Sparse and shift-Invariant representations of music. - Thomas Blumensath; Mike E. Davies 001 (IEEE Trans. Speech Audio Process., 2006)

Blind Source Separation using Space-Time Independent Component Analysis. - Mike E. Davies 001; Maria G. Jafari; Samer A. Abdallah; Emmanuel Vincent 001; Mark D. Plumbley (Blind Speech Separation, 2007)

In greedy PURSUIT of new directions: (Nearly) Orthogonal Matching Pursuit by directional optimisation. - Thomas Blumensath; Mike E. Davies 001 (EUSIPCO, 2007)

Compressed Sensing and Source Separation. - Thomas Blumensath; Mike E. Davies 001 (ICA, 2007)

Space-Time ICA and EM Brain Signals. - Mike E. Davies 001; Christopher J. James; Suogang Wang (ICA, 2007)

Iterative Hard Thresholding and L0 Regularisation. - Thomas Blumensath; Mehrdad Yaghoobi; Mike E. Davies 001 (ICASSP (3), 2007)

Quantized Sparse Approximation with Iterative Thresholding for Audio Coding. - Mehrdad Yaghoobi; Thomas Blumensath; Mike E. Davies 001 (ICASSP (1), 2007)

Source separation using single channel ICA. - Mike E. Davies 001; Christopher J. James (Signal Process., 2007)

Audio source separation with a signal-adaptive local cosine transform. - Andrew Nesbit; Mark D. Plumbley; Mike E. Davies 001 (Signal Process., 2007)

Monte Carlo Methods for Adaptive Sparse Approximations of Time-Series. - Thomas Blumensath; Michael E. Davies 001 (IEEE Trans. Signal Process., 2007)

Gradient pursuit for non-linear sparse signal modelling. - Thomas Blumensath; Mike E. Davies 001 (EUSIPCO, 2008)

Under-determined speech separation using GMM-based non-linear beamforming. - Mohammad A. Dmour; Michael E. Davies 001 (EUSIPCO, 2008)

Regularized dictionary learning for sparse approximation. - Mehrdad Yaghoobi; Thomas Blumensath; Mike E. Davies 001 (EUSIPCO, 2008)

Approximate lower bounds for rate-distortion in compressive sensing systems. - Bernard Mulgrew; Michael E. Davies 001 (ICASSP, 2008)

A feasible Blind Equalization scheme in large constellation MIMO systems. - Xu Zhao 002; Michael Davies 001 (ICASSP, 2008)

Iterative Hard Thresholding for Compressed Sensing - Thomas Blumensath; Mike E. Davies 001 (CoRR, 2008)

An adaptive stereo basis method for convolutive blind audio source separation. - Maria G. Jafari; Emmanuel Vincent 001; Samer A. Abdallah; Mark D. Plumbley; Mike E. Davies 001 (Neurocomputing, 2008)

On the Efficiency of Embedding Information Within Scalar Quantizers. - Mike Davies 001 (IEEE Trans. Inf. Theory, 2008)

Gradient Pursuits. - Thomas Blumensath; Michael E. Davies 001 (IEEE Trans. Signal Process., 2008)

An approach to under-determined speech separation based on a non-linear mixture of beamformers. - Mohammad A. Dmour; Michael E. Davies 001 (EUSIPCO, 2009)

Filler models for Automatic Speech Recognition created from Hidden Markov Models using the K-Means algorithm. - Matthew E. Dunnachie; Paul W. Shields; David H. Crawford; Mike Davies 001 (EUSIPCO, 2009)

Coding assisted blind MIMO equalization and decoding. - Xu Zhao 002; Mike Davies 001 (EUSIPCO, 2009)

A simple, efficient and near optimal algorithm for compressed sensing. - Thomas Blumensath; Mike E. Davies 001 (ICASSP, 2009)

Parsimonious dictionary learning. - Mehrdad Yaghoobi; Thomas Blumensath; Michael E. Davies 001 (ICASSP, 2009)

Sampling Theorems for Signals From the Union of Finite-Dimensional Linear Subspaces. - Thomas Blumensath; Michael E. Davies 001 (IEEE Trans. Inf. Theory, 2009)

Restricted isometry constants where lpsparse recovery can fail for 0 < p <= 1. - Michael Evan Davies 001; Rémi Gribonval (IEEE Trans. Inf. Theory, 2009)

Stagewise weak gradient pursuits. - Thomas Blumensath; Mike E. Davies 001 (IEEE Trans. Signal Process., 2009)

Dictionary learning for sparse approximations with the majorization method. - Mehrdad Yaghoobi; Thomas Blumensath; Mike E. Davies 001 (IEEE Trans. Signal Process., 2009)

Parametric dictionary design for sparse coding. - Mehrdad Yaghoobi; Laurent Daudet; Mike E. Davies 001 (IEEE Trans. Signal Process., 2009)

Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach. - Mehrdad Yaghoobi; Mike E. Davies 001 (LVA/ICA, 2010)

Structured and incoherent parametric dictionary design. - Mehrdad Yaghoobi; Laurent Daudet; Michael E. Davies 001 (ICASSP, 2010)

Normalized Iterative Hard Thresholding: Guaranteed Stability and Performance. - Thomas Blumensath; Michael E. Davies 001 (IEEE J. Sel. Top. Signal Process., 2010)

Sparse Representations in Audio and Music: From Coding to Source Separation. - Mark D. Plumbley; Thomas Blumensath; Laurent Daudet; Rémi Gribonval; Mike E. Davies 001 (Proc. IEEE, 2010)

Coding-Assisted Blind MIMO Separation and Decoding. - Xu Zhao 002; Mike Davies 001 (IEEE Trans. Veh. Technol., 2010)

Sample-distortion functions for compressed sensing. - Mike E. Davies 001; Chunli Guo (Allerton, 2011)

Recovery of cosparse signals with Greedy Analysis Pursuit in the presence of noise. - Sangnam Nam; Michael E. Davies 001; Michael Elad; Rémi Gribonval (CAMSAP, 2011)

Iterative cosparse projection algorithms for the recovery of cosparse vectors. - Raja Giryes; Sangnam Nam; Rémi Gribonval; Mike E. Davies 001 (EUSIPCO, 2011)

Analysis operator learning for overcomplete cosparse representations. - Mehrdad Yaghoobi; Sangnam Nam; Rémi Gribonval; Mike E. Davies 001 (EUSIPCO, 2011)

Compressive power spectral density estimation. - Michael A. Lexa; Mike E. Davies 001; John S. Thompson; Janosch Nikolic (ICASSP, 2011)

Detection and segmentation of fmcw radar signals based on the chirplet transform. - Fabien Millioz; Michael E. Davies 001 (ICASSP, 2011)

Cosparse analysis modeling - uniqueness and algorithms. - Sangnam Nam; Michael E. Davies 001; Michael Elad; Rémi Gribonval (ICASSP, 2011)

The Cosparse Analysis Model and Algorithms - Sangnam Nam; Mike E. Davies 001; Michael Elad; Rémi Gribonval (CoRR, 2011)

Compressive and Noncompressive Power Spectral Density Estimation from Periodic Nonuniform Samples - Michael A. Lexa; Mike E. Davies 001; John S. Thompson (CoRR, 2011)

A New Framework for Underdetermined Speech Extraction Using Mixture of Beamformers. - Mohammad A. Dmour; Mike E. Davies 001 (IEEE Trans. Speech Audio Process., 2011)

Greedy algorithms for compressed sensing. - Thomas Blumensath; Michael E. Davies 001; Gabriel Rilling (Compressed Sensing, 2012)

Computational methods for structured sparse component analysis of convolutive speech mixtures. - Afsaneh Asaei; Michael E. Davies 001; Hervé Bourlard; Volkan Cevher (ICASSP, 2012)

Noise aware analysis operator learning for approximately cosparse signals. - Mehrdad Yaghoobi; Sangnam Nam; Rémi Gribonval; Michael E. Davies 001 (ICASSP, 2012)

Optimal Dictionary Selection Using an Overcomplete Joint Sparsity Model - Mehrdad Yaghoobi; Laurent Daudet; Michael E. Davies 001 (CoRR, 2012)

Advanced image formation and processing of partial synthetic aperture radar data. - Shaun Kelly; Chaoran Du; Gabriel Rilling; Mike E. Davies 001 (IET Signal Process., 2012)

Recovery Guarantees for Rank Aware Pursuits. - Jeffrey D. Blanchard; Mike E. Davies 001 (IEEE Signal Process. Lett., 2012)

Rank Awareness in Joint Sparse Recovery. - Mike E. Davies 001; Yonina C. Eldar (IEEE Trans. Inf. Theory, 2012)

Compressible Distributions for High-Dimensional Statistics. - Rémi Gribonval; Volkan Cevher; Mike E. Davies 001 (IEEE Trans. Inf. Theory, 2012)

Reconciling Compressive Sampling Systems for Spectrally Sparse Continuous-Time Signals. - Michael A. Lexa; Mike E. Davies 001; John S. Thompson (IEEE Trans. Signal Process., 2012)

Sparse Detection in the Chirplet Transform: Application to FMCW Radar Signals. - Fabien Millioz; Michael Davies 001 (IEEE Trans. Signal Process., 2012)

Compressed sensing and best approximation from unions of subspaces: Beyond dictionaries. - Tomer Peleg; Rémi Gribonval; Mike E. Davies 001 (EUSIPCO, 2013)

Sample allocation for statistical multiresolution compressed sensing. - Chunli Guo; Mike E. Davies 001 (ICASSP, 2013)

Sample Distortion for Compressed Imaging. - Chunli Guo; Mike E. Davies 001 (IEEE Trans. Signal Process., 2013)

Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling. - Mehrdad Yaghoobi; Sangnam Nam; Rémi Gribonval; Mike E. Davies 001 (IEEE Trans. Signal Process., 2013)

Bayesian optimal compressed sensing without priors: Parametric sure approximate message passing. - Chunli Guo; Mike E. Davies 001 (EUSIPCO, 2014)

Compressed quantitative MRI: Bloch response recovery through iterated projection. - Mike E. Davies 001; Gilles Puy; Pierre Vandergheynst; Yves Wiaux (ICASSP, 2014)

Modulated measurement matrix design for compressed sensing. - Chunli Guo; Mike E. Davies 001 (ICASSP, 2014)

A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers. - Mehrdad Yaghoobi; Michael A. Lexa; Fabien Millioz; Mike E. Davies 001 (ICASSP, 2014)

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). - 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; et al. (CoRR, 2014)

A Compressed Sensing Framework for Magnetic Resonance Fingerprinting. - Mike E. Davies 001; Gilles Puy; Pierre Vandergheynst; Yves Wiaux (SIAM J. Imaging Sci., 2014)

Iterative Recovery of Dense Signals from Incomplete Measurements. - Norbert Goertz; Chunli Guo; Alexander Jung; Mike E. Davies 001; Gerhard Doblinger (IEEE Signal Process. Lett., 2014)

Sparsity-based autofocus for undersampled synthetic aperture radar. - Shaun Kelly; Mehrdad Yaghoobi; Mike E. Davies 001 (IEEE Trans. Aerosp. Electron. Syst., 2014)

Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems. - Anthony Bourrier; Mike E. Davies 001; Tomer Peleg; Patrick Pérez; Rémi Gribonval (IEEE Trans. Inf. Theory, 2014)

Dictionary Subselection Using an Overcomplete Joint Sparsity Model. - Mehrdad Yaghoobi; Laurent Daudet; Michael E. Davies 001 (IEEE Trans. Signal Process., 2014)

Compressive computed tomography image reconstruction with denoising message passing algorithms. - Alessandro Perelli; Mike E. Davies 001 (EUSIPCO, 2015)

Linear embeddings of low-dimensional subsets of a Hilbert space to Rm. - Gilles Puy; Mike E. Davies 001; Rémi Gribonval (EUSIPCO, 2015)

Fast non-negative orthogonal least squares. - Mehrdad Yaghoobi; Mike E. Davies 001 (EUSIPCO, 2015)

Recipes for stable linear embeddings from Hilbert spaces to $ mathbb{R}^m$. - Gilles Puy; Mike E. Davies 001; Rémi Gribonval (CoRR, 2015)

Dictionary Learning for Fast Classification Based on Soft-thresholding. - Alhussein Fawzi; Mike E. Davies 001; Pascal Frossard (Int. J. Comput. Vis., 2015)

Fast Non-Negative Orthogonal Matching Pursuit. - Mehrdad Yaghoobi; Di Wu 031; Mike E. Davies 001 (IEEE Signal Process. Lett., 2015)

Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing. - Chunli Guo; Mike E. Davies 001 (IEEE Trans. Signal Process., 2015)

A new approach for multi-dimensional signal processing and modelling for signals from gel electrophoresis. - Ebtihal H. G. Yousif; James R. Hopgood; John S. Thompson; Mike E. Davies 001 (EUSIPCO, 2016)

Denoising Message Passing for X-ray Computed Tomography Reconstruction. - Alessandro Perelli; Michael A. Lexa; Ali Can; Mike E. Davies 001 (CoRR, 2016)

Time-data trade-off in the sparse Fourier transform. - Abdulmalik Aldharrab; Mike E. Davies 001 (EUSIPCO, 2017)

Multi denoising approximate message passing for optimal recovery with lower computational cost. - Alessandro Perelli; Mike E. Davies 001 (EUSIPCO, 2017)

Exploiting the structure via sketched gradient algorithms. - Junqi Tang; Mohammad Golbabaee; Mike E. Davies 001 (GlobalSIP, 2017)

Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares. - Junqi Tang; Mohammad Golbabaee; Mike E. Davies 001 (ICML, 2017)

A Monte Carlo Framework for Low Dose CT Reconstruction Testing. - Jonathan H. Mason; William H. Nailon; Mike E. Davies 001 (SASHIMI@MICCAI, 2017)

Quantitative Electron Density CT Imaging for Radiotherapy Planning. - Jonathan H. Mason; Alessandro Perelli; William H. Nailon; Mike E. Davies 001 (MIUA, 2017)

Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT? - Jonathan H. Mason; Alessandro Perelli; William H. Nailon; Mike E. Davies 001 (MIUA, 2017)

Cover tree compressed sensing for fast mr fingerprint recovery. - Mohammad Golbabaee; Zhouye Chen; Yves Wiaux; Mike E. Davies 001 (MLSP, 2017)

Compressed sensing in Hilbert spaces. - Yann Traonmilin; Gilles Puy; Rémi Gribonval; Mike E. Davies 001 (CoRR, 2017)

Recipes for Stable Linear Embeddings From Hilbert Spaces to ℝm. - Gilles Puy; Mike E. Davies 001; Rémi Gribonval (IEEE Trans. Inf. Theory, 2017)

Fusion of EEG and fMRI via Soft Coupled Tensor Decompositions. - Christos Chatzichristos; Mike Davies 001; Javier Escudero; Eleftherios Kofidis; Sergios Theodoridis (EUSIPCO, 2018)

Anomaly Detection with High Resolution Hyperspectral Observations. - Cecile Chenot; Mehrdad Yaghoobi; Mike E. Davies 001; Yoann Altmann (GlobalSIP, 2018)

Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs. - Madeleine S. Kotzagiannidis; Mike E. Davies 001 (GlobalSIP, 2018)

Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net. - Heyi Li; Dongdong Chen 004; William H. Nailon; Mike E. Davies 001; David Laurenson (RAMBO+BIA+TIA@MICCAI, 2018)

Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss. - Cagdas Ulas; Giles Tetteh; Michael J. Thrippleton; Paul A. Armitage; Stephen D. Makin; Joanna M. Wardlaw; Mike E. Davies 001; Bjoern H. Menze (MICCAI (1), 2018)

Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes. - Junqi Tang; Mohammad Golbabaee; Francis R. Bach; Mike E. Davies 001 (NeurIPS, 2018)

PAC-Bayesian Margin Bounds for Convolutional Neural Networks - Technical Report. - Konstantinos Pitas; Mike E. Davies 001; Pierre Vandergheynst (CoRR, 2018)

FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees. - Konstantinos Pitas; Mike E. Davies 001; Pierre Vandergheynst (CoRR, 2018)

Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine. - Dongdong Chen 004; Jiancheng Lv 001; Mike E. Davies 001 (CoRR, 2018)

A deep learning approach for Magnetic Resonance Fingerprinting. - Mohammad Golbabaee; Dongdong Chen 004; Pedro A. Gómez; Marion I. Menzel; Mike E. Davies 001 (CoRR, 2018)

CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery. - Mohammad Golbabaee; Zhouye Chen; Yves Wiaux; Mike E. Davies 001 (CoRR, 2018)

Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF. - Arnold Julian Vinoj Benjamin; Pedro A. Gómez; Mohammad Golbabaee; Tim Sprenger; Marion I. Menzel; Mike E. Davies 001; Ian Marshall (CoRR, 2018)

CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction. - Mohammad Golbabaee; Zhouye Chen; Yves Wiaux; Mike E. Davies 001 (CoRR, 2018)

Analysis vs Synthesis with Structure - An Investigation of Union of Subspace Models on Graphs. - Madeleine S. Kotzagiannidis; Mike E. Davies 001 (CoRR, 2018)

Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing. - Gabor Hannak; Alessandro Perelli; Norbert Goertz; Gerald Matz; Mike E. Davies 001 (IEEE J. Sel. Top. Signal Process., 2018)

Inexact Gradient Projection and Fast Data Driven Compressed Sensing. - Mohammad Golbabaee; Mike E. Davies 001 (IEEE Trans. Inf. Theory, 2018)

Compressive Independent Component Analysis. - Michael P. Sheehan; Madeleine S. Kotzagiannidis; Mike E. Davies 001 (EUSIPCO, 2019)

Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing. - Yoann Altmann; Alessandro Perelli; Mike E. Davies 001 (ICASSP, 2019)

Geometry of Deep Learning for Magnetic Resonance Fingerprinting. - Mohammad Golbabaee; Dongdong Chen 004; Pedro A. Gómez; Marion I. Menzel; Mike E. Davies 001 (ICASSP, 2019)

A Deep Dual-path Network for Improved Mammogram Image Processing. - Heyi Li; Dongdong Chen 004; William H. Nailon; Mike E. Davies 001; Dave Laurenson (ICASSP, 2019)

Hyper-parameter Learning for Sparse Structured Probabilistic Models. - Tatiana Shpakova; Francis R. Bach; Mike E. Davies 001 (ICASSP, 2019)

The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems. - Junqi Tang; Karen O. Egiazarian; Mike E. Davies 001 (ICASSP, 2019)

Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. - Heyi Li; Dongdong Chen 004; William H. Nailon; Mike E. Davies 001; David I. Laurenson (MICCAI (6), 2019)

Revisiting hard thresholding for DNN pruning. - Konstantinos Pitas; Mike E. Davies 001; Pierre Vandergheynst (CoRR, 2019)

Some limitations of norm based generalization bounds in deep neural networks. - Konstantinos Pitas; Andreas Loukas; Mike Davies 001; Pierre Vandergheynst (CoRR, 2019)

Compressive Learning for Semi-Parametric Models. - Michael P. Sheehan; Antoine Gonon; Mike E. Davies 001 (CoRR, 2019)

(l1, l2)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements. - Thomas Feuillen; Mike E. Davies 001; Luc Vandendorpe; Laurent Jacques (CoRR, 2019)

Sparsity-Driven GMTI Processing Framework With Multichannel SAR. - Di Wu 031; Mehrdad Yaghoobi; Mike E. Davies 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Deep Decomposition Learning for Inverse Imaging Problems. - Dongdong Chen 004; Mike E. Davies 001 (ECCV (28), 2020)

DeepMP for Non-Negative Sparse Decomposition. - Konstantinos A. Voulgaris; Mike E. Davies 001; Mehrdad Yaghoobi (EUSIPCO, 2020)

Joint Robust Linear Regression and Anomaly Detection in Poisson noise using Expectation-Propagation. - Dan Yao; Yoann Altmann; Steve McLaughlin 001; Mike E. Davies 001 (EUSIPCO, 2020)

Upscaling Vector Approximate Message Passing. - Nikolajs Skuratovs; Michael Davies 001 (ICASSP, 2020)

Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations. - Dongdong Chen 004; Mike E. Davies 001; Mohammad Golbabaee (MICCAI (2), 2020)

Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders. - Mohammad Golbabaee; Guido Bounincontri; Carolin M. Pirkl; Marion I. Menzel; Bjoern H. Menze; Mike E. Davies 001; Pedro A. Gómez (CoRR, 2020)

CNN Denoisers as Non-Local Filters: The Neural Tangent Denoiser. - Julián Tachella; Junqi Tang; Mike E. Davies 001 (CoRR, 2020)

A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems. - Junqi Tang; Mike E. Davies 001 (CoRR, 2020)

One Bit to Rule Them All : Binarizing the Reconstruction in 1-bit Compressive Sensing. - Thomas Feuillen; Mike E. Davies 001; Luc Vandendorpe; Laurent Jacques (CoRR, 2020)

COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography. - Heyi Li; Dongdong Chen 004; William H. Nailon; Mike E. Davies 001; David Laurenson (CoRR, 2020)

Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing. - Alessandro Perelli; Michael A. Lexa; Ali Can; Mike E. Davies 001 (SIAM J. Imaging Sci., 2020)

($ ell _1, ell _2$)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements. - Thomas Feuillen; Mike E. Davies 001; Luc Vandendorpe; Laurent Jacques (IEEE Signal Process. Lett., 2020)

The Practicality of Stochastic Optimization in Imaging Inverse Problems. - Junqi Tang; Karen O. Egiazarian; Mohammad Golbabaee; Mike E. Davies 001 (IEEE Trans. Computational Imaging, 2020)

Fast Online 3D Reconstruction of Dynamic Scenes From Individual Single-Photon Detection Events. - Yoann Altmann; Steve McLaughlin 001; Michael E. Davies 001 (IEEE Trans. Image Process., 2020)

The Neural Tangent Link Between CNN Denoisers and Non-Local Filters. - Julián Tachella; Junqi Tang; Mike E. Davies 001 (CVPR, 2021)

Surface Detection for Sketched Single Photon Lidar. - Michael P. Sheehan; Julián Tachella; Mike E. Davies 001 (EUSIPCO, 2021)

Adaptive Kernel Kalman Filter Multi-Sensor Fusion. - Mengwei Sun; Michael E. Davies 001; James R. Hopgood; Ian K. Proudler (FUSION, 2021)

Equivariant Imaging: Learning Beyond the Range Space. - Dongdong Chen 004; Julián Tachella; Mike E. Davies 001 (ICCV, 2021)

Compressive Independent Component Analysis: Theory and Algorithms. - Michael P. Sheehan; Mike E. Davies 001 (CoRR, 2021)

Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography. - Ahmed Karam Eldaly; Ming Fang; Angela Di Fulvio; Steve McLaughlin 001; Mike E. Davies 001; Yoann Altmann; Yves Wiaux (J. Imaging, 2021)

Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks. - Mohammad Golbabaee; Guido Buonincontri; Carolin M. Pirkl; Marion I. Menzel; Bjoern H. Menze; Mike E. Davies 001; Pedro A. Gómez (Medical Image Anal., 2021)

A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization. - Derek Driggs; Junqi Tang; Jingwei Liang; Mike E. Davies 001; Carola-Bibiane Schönlieb (SIAM J. Imaging Sci., 2021)

A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar. - Michael P. Sheehan; Julián Tachella; Mike E. Davies 001 (IEEE Trans. Computational Imaging, 2021)

Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences. - Quentin Legros; Julián Tachella; Rachael Tobin; Aongus McCarthy; Sylvain Meignen; Gerald S. Buller; Yoann Altmann; Steve McLaughlin 001; Michael E. Davies 001 (IEEE Trans. Image Process., 2021)

Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. - Dongdong Chen 004; Julián Tachella; Mike E. Davies 001 (CVPR, 2022)

Sketched RT3D: How to Reconstruct Billions of Photons Per Second. - Julián Tachella; Michael P. Sheehan; Mike E. Davies 001 (ICASSP, 2022)

Deep Unrolling for Magnetic Resonance Fingerprinting. - Dongdong Chen 004; Mike E. Davies 001; Mohammad Golbabaee (ISBI, 2022)

Warm-Starting in Message Passing algorithms. - Nikolajs Skuratovs; Mike E. Davies 001 (ISIT, 2022)

Performance Evaluation of Simultaneous Sensor Registration and Object Tracking Algorithm. - Sofie Macdonald; Ian K. Proudler; Michael E. Davies 001; James R. Hopgood (MFI, 2022)

Unsupervised Learning From Incomplete Measurements for Inverse Problems. - Julián Tachella; Dongdong Chen 004; Mike E. Davies 001 (NeurIPS, 2022)

Sampling Theorems for Learning from Incomplete Measurements. - Julián Tachella; Dongdong Chen 004; Mike E. Davies 001 (CoRR, 2022)

Sampling Theorems for Unsupervised Learning in Linear Inverse Problems. - Julián Tachella; Dongdong Chen 004; Mike E. Davies 001 (CoRR, 2022)

Imaging with Equivariant Deep Learning. - Dongdong Chen 004; Mike E. Davies 001; Matthias J. Ehrhardt; Carola-Bibiane Schönlieb; Ferdia Sherry; Julián Tachella (CoRR, 2022)

A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking. - Mengwei Sun; Mike E. Davies 001; Ian K. Proudler; James R. Hopgood (CoRR, 2022)

Adaptive Kernel Kalman Filter Based Belief Propagation Algorithm for Maneuvering Multi-Target Tracking. - Mengwei Sun; Mike E. Davies 001; Ian K. Proudler; James R. Hopgood (IEEE Signal Process. Lett., 2022)

Staggered Coprime Pulse Repetition Frequencies Synthetic Aperture Radar (SCopSAR). - Abdulmalik Aldharrab; Mike E. Davies 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Compressed Sensing With Upscaled Vector Approximate Message Passing. - Nikolajs Skuratovs; Michael E. Davies 001 (IEEE Trans. Inf. Theory, 2022)

Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. - Heyi Li; Dongdong Chen 004; William H. Nailon; Mike E. Davies 001; David I. Laurenson (IEEE Trans. Medical Imaging, 2022)

Hardware Friendly Spline Sketched Lidar. - Michael P. Sheehan; Julián Tachella; Mike E. Davies 001 (ICASSP, 2023)

Self-Supervised Learning for Image Super-Resolution and Deblurring. - Jérémy Scanvic; Mike E. Davies 001; Patrice Abry; Julián Tachella (CoRR, 2023)

Sensing Theorems for Unsupervised Learning in Linear Inverse Problems. - Julián Tachella; Dongdong Chen 004; Mike E. Davies 001 (J. Mach. Learn. Res., 2023)

Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. - Dongdong Chen 004; Mike E. Davies 001; Matthias J. Ehrhardt; Carola-Bibiane Schönlieb; Ferdia Sherry; Julián Tachella (IEEE Signal Process. Mag., 2023)

Adaptive Kernel Kalman Filter. - Mengwei Sun; Mike E. Davies 001; Ian K. Proudler; James R. Hopgood (IEEE Trans. Signal Process., 2023)

Divergence Estimation in Message Passing Algorithms. - Nikolajs Skuratovs; Mike E. Davies 001 (IEEE Trans. Inf. Theory, 2023)

Perspective-Equivariance for Unsupervised Imaging with Camera Geometry. - Andrew Wang 004; Mike Davies 001 (ECCV Workshops (17), 2024)

Implementation of AKKF-based Multi-Sensor Fusion Methods in Stone Soup. - James S. Wright; Mengwei Sun; Mike E. Davies 001; Ian K. Proudler; James R. Hopgood (FUSION, 2024)

Perspective-Equivariant Imaging: an Unsupervised Framework for Multispectral Pansharpening. - Andrew Wang; Mike Davies 001 (CoRR, 2024)

Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting. - Shuo Li; Mike Davies 001; Mehrdad Yaghoobi (CoRR, 2024)

UNSURE: Unknown Noise level Stein's Unbiased Risk Estimator. - Julián Tachella; Mike E. Davies 001; Laurent Jacques (CoRR, 2024)

Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance. - Andrew Wang; Mike Davies 001 (CoRR, 2024)

Spline Sketches: An Efficient Approach for Photon Counting Lidar. - Michael P. Sheehan; Julián Tachella; Mike E. Davies 001 (IEEE Trans. Computational Imaging, 2024)

UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate. - Julián Tachella; Mike E. Davies 001; Laurent Jacques (ICLR, 2025)

A Variational Autoencoder with Semi-Supervised Latent Space for Source Term Estimation. - Abdullah Abdulaziz; Mike E. Davies 001; Steve McLaughlin 001; Yoann Altmann (SSP, 2025)

Distributed Expectation Propagation for Multi-Object Tracking over Sensor Networks. - Qing Li 033; Runze Gan; James R. Hopgood; Michael E. Davies 001; Simon J. Godsill (SSP, 2025)