Miguel R. D. Rodrigues
Orcid: 0000-0002-8908-847XAffiliations:
- University College London, Deptartment of Electronic & Electrical Engineering
According to our database1,
Miguel R. D. Rodrigues
authored at least 193 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2023, "For contributions to multimodal data processing and foundations of reliable and secure communications".
Timeline
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Online presence:
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on twitter.com
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on orcid.org
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on ee.ucl.ac.uk
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Bibliography
2024
Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm.
IEEE Trans. Inf. Theory, January, 2024
2023
IEEE Trans. Cogn. Commun. Netw., December, 2023
On Neural Networks Fitting, Compression, and Generalization Behavior via Information-Bottleneck-like Approaches.
Entropy, July, 2023
IEEE Trans. Image Process., 2023
Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding.
CoRR, 2023
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023
Proceedings of the IEEE International Symposium on Information Theory, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
IEEE J. Sel. Areas Inf. Theory, September, 2022
IEEE Trans. Parallel Distributed Syst., 2022
IEEE Trans. Image Process., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
Editorial: Introduction to the Special Issue on Deep Learning for High-Dimensional Sensing.
IEEE J. Sel. Top. Signal Process., 2022
CoRR, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
IEEE Trans. Signal Process., 2021
Deep Joint Encryption and Source-Channel Coding: An Image Privacy Protection Approach.
CoRR, 2021
CoRR, 2021
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information.
CoRR, 2021
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Toward Minimal-Sufficiency in Regression Tasks: An Approach Based on a Variational Estimation Bottleneck.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms.
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
REST: Robust lEarned Shrinkage-Thresholding Network Taming Inverse Problems with Model Mismatch.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Robust Symbol-Level Precoding Beyond CSI Models: A Probabilistic-Learning Based Approach.
Proceedings of the IEEE Global Communications Conference, 2021
Proceedings of the International Conference on Field-Programmable Technology, 2021
A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs.
Proceedings of the 29th European Signal Processing Conference, 2021
Regression with Deep Neural Networks: Generalization Error Guarantees, Learning Algorithms, and Regularizers.
Proceedings of the 29th European Signal Processing Conference, 2021
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
2020
Source Separation With Side Information Based on Gaussian Mixture Models With Application in Art Investigation.
IEEE Trans. Signal Process., 2020
IEEE Trans. Medical Imaging, 2020
RADAR: Robust Algorithm for Depth Image Super Resolution Based on FRI Theory and Multimodal Dictionary Learning.
IEEE Trans. Circuits Syst. Video Technol., 2020
Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries.
IEEE Trans. Computational Imaging, 2020
Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning.
IEEE Trans. Biomed. Circuits Syst., 2020
CoRR, 2020
Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms.
Proceedings of the IEEE Information Theory Workshop, 2020
A Connected Auto-Encoders Based Approach for Image Separation with Side Information: With Applications to Art Investigation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
IEEE Trans. Signal Process., 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Compressive Sensing With Side Information: How to Optimally Capture This Extra Information for GMM Signals?
IEEE Trans. Signal Process., 2018
Introduction to the Issue on Information-Theoretic Methods in Data Acquisition, Analysis, and Processing.
IEEE J. Sel. Top. Signal Process., 2018
Data aggregation and recovery for the Internet of Things: A compressive demixing approach.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Source Separation in the Presence of Side Information: Necessary and Sufficient Conditions for Reliable De-Mixing.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
2017
IEEE Trans. Inf. Theory, 2017
Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation.
IEEE Trans. Image Process., 2017
Heterogeneous Networked Data Recovery From Compressive Measurements Using a Copula Prior.
IEEE Trans. Commun., 2017
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems.
CoRR, 2017
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification.
IEEE Trans. Signal Process., 2016
IEEE Trans. Signal Process., 2016
Adaptive-Rate Reconstruction of Time-Varying Signals With Application in Compressive Foreground Extraction.
IEEE Trans. Signal Process., 2016
Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information.
IEEE Trans. Inf. Theory, 2016
Measurement matrix design for compressive sensing with side information at the encoder.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
Proceedings of the 23rd International Conference on Telecommunications, 2016
Proceedings of the 23rd International Conference on Telecommunications, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
A general framework for reconstruction and classification from compressive measurements with side information.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Signal reconstruction in the presence of side information: The impact of projection kernel design.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 2016 Data Compression Conference, 2016
2015
Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers.
IEEE Trans. Inf. Theory, 2015
IEEE Signal Process. Lett., 2015
Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements.
SIAM J. Imaging Sci., 2015
Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction.
CoRR, 2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
Mismatch in the classification of linear subspaces: Upper bound to the probability of error.
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Reconstruction of Signals Drawn From a Gaussian Mixture Via Noisy Compressive Measurements.
IEEE Trans. Signal Process., 2014
A Bregman Matrix and the Gradient of Mutual Information for Vector Poisson and Gaussian Channels.
IEEE Trans. Inf. Theory, 2014
Multiple-Antenna Fading Channels With Arbitrary Inputs: Characterization and Optimization of the Information Rate.
IEEE Trans. Inf. Theory, 2014
Fading Channels With Arbitrary Inputs: Asymptotics of the Constrained Capacity and Information and Estimation Measures.
IEEE Trans. Inf. Theory, 2014
Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information.
CoRR, 2014
Compressive Classification of a Mixture of Gaussians: Analysis, Designs and Geometrical Interpretation.
CoRR, 2014
CoRR, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Latent sentiment detection in Online Social Networks: A communications-oriented view.
Proceedings of the IEEE International Conference on Communications, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Compressed sensing with side information: Geometrical interpretation and performance bounds.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
2013
IEEE Trans. Signal Process., 2013
IEEE Trans. Signal Process., 2013
Dictionary Learning With Optimized Projection Design for Compressive Sensing Applications.
IEEE Signal Process. Lett., 2013
Reconstruction of Signals Drawn from a Gaussian Mixture from Noisy Compressive Measurements: MMSE Phase Transitions and Beyond.
CoRR, 2013
Unlocking Energy Neutrality in Energy Harvesting Wireless Sensor Networks: An Approach Based on Distributed Compressed Sensing.
CoRR, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Information-theoretic limits on the classification of Gaussian mixtures: Classification on the Grassmann manifold.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013
Generalized Bregman divergence and gradient of mutual information for vector Poisson channels.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Characterization and optimization of the constrained capacity of coherent fading channels driven by arbitrary inputs: A Mellin transform based asymptotic approach.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Proceedings of the 2013 IEEE Symposium on Computers and Communications, 2013
Power allocation strategies for OFDM Gaussian wiretap channels with a friendly jammer.
Proceedings of IEEE International Conference on Communications, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Towards energy neutrality in energy harvesting wireless sensor networks: A case for distributed compressive sensing?
Proceedings of the 2013 IEEE Global Communications Conference, 2013
Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
2012
A Frechet Mean Approach for Compressive Sensing Date Acquisition and Reconstruction in Wireless Sensor Networks.
IEEE Trans. Wirel. Commun., 2012
On the Use of Unit-Norm Tight Frames to Improve the Average MSE Performance in Compressive Sensing Applications.
IEEE Signal Process. Lett., 2012
SIAM J. Imaging Sci., 2012
Coherent Fading Channels Driven by Arbitrary Inputs: Asymptotic Characterization of the Constrained Capacity and Related Information- and Estimation-Theoretic Quantities.
CoRR, 2012
A zero-sum power allocation game in the parallel Gaussian wiretap channel with an unfriendly jammer.
Proceedings of the ICCS'12: The 12th International Conference on Communication Systems, 2012
Proceedings of the 75th IEEE Vehicular Technology Conference, 2012
Filter design with secrecy constraints: Zero-forcing constraint at the legitimate receiver.
Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012
Characterization of the constrained capacity of multiple-antenna fading coherent channels driven by arbitrary inputs.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
On the benefit of using tight frames for robust data transmission and compressive data gathering in wireless sensor networks.
Proceedings of IEEE International Conference on Communications, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
On the design of optimized projections for sensing sparse signals in overcomplete dictionaries.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Towards the improvement of diagnostic metrics Fault diagnosis for DSL-Based IPTV networks using the Rényi entropy.
Proceedings of the 2012 IEEE Global Communications Conference, 2012
2011
IEEE Trans. Inf. Forensics Secur., 2011
Characterization of Demapper EXIT Functions with BEC a priori Information with Applications to BICM-ID.
IEEE Trans. Commun., 2011
Filter Design with Secrecy Constraints: The Degraded Multiple-Input Multiple-Output Gaussian Wiretap Channel.
Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011
On the constrained capacity of multi-antenna fading coherent channels with discrete inputs.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Proceedings of IEEE International Conference on Communications, 2011
Filter design with secrecy constraints: The multiple-input multiple-output Gaussian wiretap channel with zero forcing receive filters.
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Design of filters for reliable and secure communications conditional mean estimation at the eavesdropper.
Proceedings of EUROCON 2011, 2011
2010
MIMO Gaussian channels with arbitrary inputs: optimal precoding and power allocation.
IEEE Trans. Inf. Theory, 2010
Performance-complexity tradeoff of convolutional codes for broadband fixed wireless access systems.
IET Commun., 2010
IEEE Commun. Lett., 2010
Proceedings of the IEEE 21st International Symposium on Personal, 2010
Modelling the decoder and demapper EXIT chart curves in BICM-ID systems: BEC approximations.
Proceedings of the IEEE International Symposium on Information Theory, 2010
On Wireless Channels with M-Antenna Eavesdroppers: Characterization of the Outage Probability and Outage Secrecy Capacity.
Proceedings of the Global Communications Conference, 2010
2009
IEEE Trans. Commun., 2009
IEEE J. Sel. Areas Commun., 2009
Investigation of a Semidefinite Programming detection for a spectrally efficient FDM system.
Proceedings of the IEEE 20th International Symposium on Personal, 2009
On multiple-input multiple-output Gaussian channels with arbitrary inputs subject to jamming.
Proceedings of the IEEE International Symposium on Information Theory, 2009
Spectrally Efficient FDM Signals: Bandwidth Gain at the Expense of Receiver Complexity.
Proceedings of IEEE International Conference on Communications, 2009
2008
IET Commun., 2008
Multiple-input multiple-output Gaussian channels: Optimal covariance for non-Gaussian inputs.
Proceedings of the 2008 IEEE Information Theory Workshop, 2008
Proceedings of IEEE International Conference on Communications, 2008
Filter Design with Secrecy Constraints: The Degraded Parallel Gaussian Wiretap Channel.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008
Proceedings of the 5th International ICST Conference on Broadband Communications, 2008
2007
IEEE Trans. Broadcast., 2007
IET Commun., 2007
Can Punctured Rate-1/2 Turbo Codes Achieve a Lower Error Floor than their Rate-1/3 Parent Codes?
CoRR, 2007
On the Performance of Iterative Demapping and Decoding Techniques over Quasi-Static Fading Channels.
Proceedings of the IEEE 18th International Symposium on Personal, 2007
Proceedings of the IEEE International Symposium on Information Theory, 2007
A Union Bound Approximation for Rapid Performance Evaluation of Punctured Turbo Codes.
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007
2006
IMD reduction with SLM and PTS to improve the error-probability performance of nonlinearly distorted OFDM signals.
IEEE Trans. Veh. Technol., 2006
CoRR, 2006
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006
Proceedings of IEEE International Conference on Communications, 2006
2005
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005
2004
SLM and PTS based on an IMD reduction strategy to improve the error probability performance of non-linearly distorted OFDM signals.
Proceedings of IEEE International Conference on Communications, 2004
2002
Performance assessment of MC-CDMA and MC-DS-CDMA in the presence of high power amplifier non-linearities.
Proceedings of the 55th IEEE Vehicular Technology Conference, 2002
Analysis of the influence of Walsh-Hadamard code allocation strategies on the performance of multi-carrier CDMA systems in the presence of HPA non-linearities.
Proceedings of the 13th IEEE International Symposium on Personal, 2002