Mike E. Davies

Affiliations:
  • Edinburgh University, Institute of Digital Communications (IDCOM), United Kingdom


According to our database1, Mike E. Davies authored at least 169 papers between 2002 and 2023.

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Bibliography

2023
Divergence Estimation in Message Passing Algorithms.
IEEE Trans. Inf. Theory, November, 2023

Adaptive Kernel Kalman Filter.
IEEE Trans. Signal Process., 2023

Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning.
IEEE Signal Process. Mag., 2023

Sensing Theorems for Unsupervised Learning in Linear Inverse Problems.
J. Mach. Learn. Res., 2023

Self-Supervised Learning for Image Super-Resolution and Deblurring.
CoRR, 2023

Hardware Friendly Spline Sketched Lidar.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography.
IEEE Trans. Medical Imaging, 2022

Compressed Sensing With Upscaled Vector Approximate Message Passing.
IEEE Trans. Inf. Theory, 2022

Staggered Coprime Pulse Repetition Frequencies Synthetic Aperture Radar (SCopSAR).
IEEE Trans. Geosci. Remote. Sens., 2022

Adaptive Kernel Kalman Filter Based Belief Propagation Algorithm for Maneuvering Multi-Target Tracking.
IEEE Signal Process. Lett., 2022

A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking.
CoRR, 2022

Imaging with Equivariant Deep Learning.
CoRR, 2022

Sampling Theorems for Unsupervised Learning in Linear Inverse Problems.
CoRR, 2022

Sampling Theorems for Learning from Incomplete Measurements.
CoRR, 2022

Unsupervised Learning From Incomplete Measurements for Inverse Problems.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Performance Evaluation of Simultaneous Sensor Registration and Object Tracking Algorithm.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2022

Warm-Starting in Message Passing algorithms.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Deep Unrolling for Magnetic Resonance Fingerprinting.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Sketched RT3D: How to Reconstruct Billions of Photons Per Second.
Proceedings of the IEEE International Conference on Acoustics, 2022

Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences.
IEEE Trans. Image Process., 2021

A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar.
IEEE Trans. Computational Imaging, 2021

A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization.
SIAM J. Imaging Sci., 2021

Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks.
Medical Image Anal., 2021

Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography.
J. Imaging, 2021

Compressive Independent Component Analysis: Theory and Algorithms.
CoRR, 2021

Equivariant Imaging: Learning Beyond the Range Space.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adaptive Kernel Kalman Filter Multi-Sensor Fusion.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Surface Detection for Sketched Single Photon Lidar.
Proceedings of the 29th European Signal Processing Conference, 2021

The Neural Tangent Link Between CNN Denoisers and Non-Local Filters.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Fast Online 3D Reconstruction of Dynamic Scenes From Individual Single-Photon Detection Events.
IEEE Trans. Image Process., 2020

The Practicality of Stochastic Optimization in Imaging Inverse Problems.
IEEE Trans. Computational Imaging, 2020

($\ell _1, \ell _2$)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements.
IEEE Signal Process. Lett., 2020

Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing.
SIAM J. Imaging Sci., 2020

COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography.
CoRR, 2020

One Bit to Rule Them All : Binarizing the Reconstruction in 1-bit Compressive Sensing.
CoRR, 2020

A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems.
CoRR, 2020

CNN Denoisers as Non-Local Filters: The Neural Tangent Denoiser.
CoRR, 2020

Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders.
CoRR, 2020

Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Joint Robust Linear Regression and Anomaly Detection in Poisson noise using Expectation-Propagation.
Proceedings of the 28th European Signal Processing Conference, 2020

DeepMP for Non-Negative Sparse Decomposition.
Proceedings of the 28th European Signal Processing Conference, 2020

Deep Decomposition Learning for Inverse Imaging Problems.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Sparsity-Driven GMTI Processing Framework With Multichannel SAR.
IEEE Trans. Geosci. Remote. Sens., 2019

(l1, l2)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements.
CoRR, 2019

Compressive Learning for Semi-Parametric Models.
CoRR, 2019

Revisiting hard thresholding for DNN pruning.
CoRR, 2019

Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems.
Proceedings of the IEEE International Conference on Acoustics, 2019

Hyper-parameter Learning for Sparse Structured Probabilistic Models.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Deep Dual-path Network for Improved Mammogram Image Processing.
Proceedings of the IEEE International Conference on Acoustics, 2019

Geometry of Deep Learning for Magnetic Resonance Fingerprinting.
Proceedings of the IEEE International Conference on Acoustics, 2019

Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing.
Proceedings of the IEEE International Conference on Acoustics, 2019

Compressive Independent Component Analysis.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Inexact Gradient Projection and Fast Data Driven Compressed Sensing.
IEEE Trans. Inf. Theory, 2018

Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing.
IEEE J. Sel. Top. Signal Process., 2018

Analysis vs Synthesis with Structure - An Investigation of Union of Subspace Models on Graphs.
CoRR, 2018

CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction.
CoRR, 2018

Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF.
CoRR, 2018

CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery.
CoRR, 2018

A deep learning approach for Magnetic Resonance Fingerprinting.
CoRR, 2018

Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine.
CoRR, 2018

FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees.
CoRR, 2018

PAC-Bayesian Margin Bounds for Convolutional Neural Networks - Technical Report.
CoRR, 2018

Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Anomaly Detection with High Resolution Hyperspectral Observations.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
Recipes for Stable Linear Embeddings From Hilbert Spaces to ℝ<sup>m</sup>.
IEEE Trans. Inf. Theory, 2017

Compressed sensing in Hilbert spaces.
CoRR, 2017

Cover tree compressed sensing for fast mr fingerprint recovery.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT?
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Quantitative Electron Density CT Imaging for Radiotherapy Planning.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

A Monte Carlo Framework for Low Dose CT Reconstruction Testing.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2017

Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares.
Proceedings of the 34th International Conference on Machine Learning, 2017

Exploiting the structure via sketched gradient algorithms.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Multi denoising approximate message passing for optimal recovery with lower computational cost.
Proceedings of the 25th European Signal Processing Conference, 2017

Time-data trade-off in the sparse Fourier transform.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Denoising Message Passing for X-ray Computed Tomography Reconstruction.
CoRR, 2016

A new approach for multi-dimensional signal processing and modelling for signals from gel electrophoresis.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing.
IEEE Trans. Signal Process., 2015

Fast Non-Negative Orthogonal Matching Pursuit.
IEEE Signal Process. Lett., 2015

Dictionary Learning for Fast Classification Based on Soft-thresholding.
Int. J. Comput. Vis., 2015

Recipes for stable linear embeddings from Hilbert spaces to $\mathbb{R}^m$.
CoRR, 2015

Fast non-negative orthogonal least squares.
Proceedings of the 23rd European Signal Processing Conference, 2015

Linear embeddings of low-dimensional subsets of a Hilbert space to R<sup>m</sup>.
Proceedings of the 23rd European Signal Processing Conference, 2015

Compressive computed tomography image reconstruction with denoising message passing algorithms.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Dictionary Subselection Using an Overcomplete Joint Sparsity Model.
IEEE Trans. Signal Process., 2014

Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems.
IEEE Trans. Inf. Theory, 2014

Sparsity-based autofocus for undersampled synthetic aperture radar.
IEEE Trans. Aerosp. Electron. Syst., 2014

Iterative Recovery of Dense Signals from Incomplete Measurements.
IEEE Signal Process. Lett., 2014

A Compressed Sensing Framework for Magnetic Resonance Fingerprinting.
SIAM J. Imaging Sci., 2014

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

A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers.
Proceedings of the IEEE International Conference on Acoustics, 2014

Modulated measurement matrix design for compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2014

Compressed quantitative MRI: Bloch response recovery through iterated projection.
Proceedings of the IEEE International Conference on Acoustics, 2014

Bayesian optimal compressed sensing without priors: Parametric sure approximate message passing.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling.
IEEE Trans. Signal Process., 2013

Sample Distortion for Compressed Imaging.
IEEE Trans. Signal Process., 2013

Sample allocation for statistical multiresolution compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2013

Compressed sensing and best approximation from unions of subspaces: Beyond dictionaries.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Reconciling Compressive Sampling Systems for Spectrally Sparse Continuous-Time Signals.
IEEE Trans. Signal Process., 2012

Compressible Distributions for High-Dimensional Statistics.
IEEE Trans. Inf. Theory, 2012

Rank Awareness in Joint Sparse Recovery.
IEEE Trans. Inf. Theory, 2012

Recovery Guarantees for Rank Aware Pursuits.
IEEE Signal Process. Lett., 2012

Advanced image formation and processing of partial synthetic aperture radar data.
IET Signal Process., 2012

Optimal Dictionary Selection Using an Overcomplete Joint Sparsity Model
CoRR, 2012

Noise aware analysis operator learning for approximately cosparse signals.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Computational methods for structured sparse component analysis of convolutive speech mixtures.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Greedy algorithms for compressed sensing.
Proceedings of the Compressed Sensing, 2012

2011
A New Framework for Underdetermined Speech Extraction Using Mixture of Beamformers.
IEEE Trans. Speech Audio Process., 2011

Compressive and Noncompressive Power Spectral Density Estimation from Periodic Nonuniform Samples
CoRR, 2011

The Cosparse Analysis Model and Algorithms
CoRR, 2011

Cosparse analysis modeling - uniqueness and algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2011

Detection and segmentation of fmcw radar signals based on the chirplet transform.
Proceedings of the IEEE International Conference on Acoustics, 2011

Compressive power spectral density estimation.
Proceedings of the IEEE International Conference on Acoustics, 2011

Analysis operator learning for overcomplete cosparse representations.
Proceedings of the 19th European Signal Processing Conference, 2011

Iterative cosparse projection algorithms for the recovery of cosparse vectors.
Proceedings of the 19th European Signal Processing Conference, 2011

Recovery of cosparse signals with Greedy Analysis Pursuit in the presence of noise.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Sample-distortion functions for compressed sensing.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Sparse Representations in Audio and Music: From Coding to Source Separation.
Proc. IEEE, 2010

Normalized Iterative Hard Thresholding: Guaranteed Stability and Performance.
IEEE J. Sel. Top. Signal Process., 2010

Structured and incoherent parametric dictionary design.
Proceedings of the IEEE International Conference on Acoustics, 2010

Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009
Parametric dictionary design for sparse coding.
IEEE Trans. Signal Process., 2009

Dictionary learning for sparse approximations with the majorization method.
IEEE Trans. Signal Process., 2009

Stagewise weak gradient pursuits.
IEEE Trans. Signal Process., 2009

Restricted isometry constants where l<sup>p</sup>sparse recovery can fail for 0 < p <= 1.
IEEE Trans. Inf. Theory, 2009

Sampling Theorems for Signals From the Union of Finite-Dimensional Linear Subspaces.
IEEE Trans. Inf. Theory, 2009

Parsimonious dictionary learning.
Proceedings of the IEEE International Conference on Acoustics, 2009

A simple, efficient and near optimal algorithm for compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2009

An approach to under-determined speech separation based on a non-linear mixture of beamformers.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Gradient Pursuits.
IEEE Trans. Signal Process., 2008

An adaptive stereo basis method for convolutive blind audio source separation.
Neurocomputing, 2008

Iterative Hard Thresholding for Compressed Sensing
CoRR, 2008

Approximate lower bounds for rate-distortion in compressive sensing systems.
Proceedings of the IEEE International Conference on Acoustics, 2008

Regularized dictionary learning for sparse approximation.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Under-determined speech separation using GMM-based non-linear beamforming.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Gradient pursuit for non-linear sparse signal modelling.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Monte Carlo Methods for Adaptive Sparse Approximations of Time-Series.
IEEE Trans. Signal Process., 2007

Audio source separation with a signal-adaptive local cosine transform.
Signal Process., 2007

Source separation using single channel ICA.
Signal Process., 2007

Quantized Sparse Approximation with Iterative Thresholding for Audio Coding.
Proceedings of the IEEE International Conference on Acoustics, 2007

Iterative Hard Thresholding and L0 Regularisation.
Proceedings of the IEEE International Conference on Acoustics, 2007

Space-Time ICA and EM Brain Signals.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Compressed Sensing and Source Separation.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

In greedy PURSUIT of new directions: (Nearly) Orthogonal Matching Pursuit by directional optimisation.
Proceedings of the 15th European Signal Processing Conference, 2007

Blind Source Separation using Space-Time Independent Component Analysis.
Proceedings of the Blind Speech Separation, 2007

2006
Sparse and shift-Invariant representations of music.
IEEE Trans. Speech Audio Process., 2006

Sparse representations of polyphonic music.
Signal Process., 2006

Sparse audio representations using the MCLT.
Signal Process., 2006

On the analysis of single versus multiple channels of electromagnetic brain signals.
Artif. Intell. Medicine, 2006

Sparse Coding for Convolutive Blind Audio Source Separation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

A multi-channel maximum likelihood approach to de-reverberation.
Proceedings of the 14th European Signal Processing Conference, 2006

Source extraction from two-channel mixtures by joint cosine packet analysis.
Proceedings of the 14th European Signal Processing Conference, 2006

Embedding side information into a speech codec residual.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
A Tutorial on Onset Detection in Music Signals.
IEEE Trans. Speech Audio Process., 2005

A fast importance sampling algorithm for unsupervised learning of over-complete dictionaries.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
On the use of phase and energy for musical onset detection in the complex domain.
IEEE Signal Process. Lett., 2004

Unsupervised learning of sparse and shift-invariant decompositions of polyphonic music.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Permutation Alignment for Frequency Domain ICA Using Subspace Beamforming Methods.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

On Shift-Invariant Sparse Coding.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

An efficient two-stage implementation of harmonic matching pursuit.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

Fast sparse subband decomposition using FIRSP.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Audio source separation of convolutive mixtures.
IEEE Trans. Speech Audio Process., 2003

Delay Embeddings for Forced Systems. II. Stochastic Forcing.
J. Nonlinear Sci., 2003

Using beamforming in the audio source separation problem.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

2002
Automatic Music Transcription and Audio Source Separation.
Cybern. Syst., 2002


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