Sophie M. Fosson

Andrea Migliorati

Giuseppe Carlo Calafiore

IEEE Trans. Neural Networks Learn. Syst., March, 2025

COSMO: COmpressed Sensing for Models and Logging Optimization in MCU Performance Screening.

[BibT_eX]

[DOI]

IEEE Trans. Computers, February, 2025

Fast sparse optimization via adaptive shrinkage.

[BibT_eX]

[DOI]

CoRR, January, 2025

Self-Supervised Pretraining and Quantization for Fault Tolerant Neural Networks: Friend or Foe?

[BibT_eX]

[DOI]

IEEE Access, 2025

2024

Lasso-based state estimation for cyber-physical systems under sensor attacks.

[BibT_eX]

[DOI]

CoRR, 2024

A new framework for constrained optimization via feedback control of Lagrange multipliers.

[BibT_eX]

[DOI]

CoRR, 2024

ConQ: Binary Quantization of Neural Networks via Concave Regularization.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Sparsification of Deep Neural Networks via Ternary Quantization.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 27th International Symposium on Design & Diagnostics of Electronic Circuits & Systems, 2024

A feedback control approach to convex optimization with inequality constraints.

[BibT_eX]

[DOI]

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Alternating direction method of multipliers for polynomial optimization.

[BibT_eX]

[DOI]

Proceedings of the European Control Conference, 2023

2022

Set-membership identification of continuous-time systems through model transformation.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Centralized and Distributed Online Learning for Sparse Time-Varying Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

A convex optimization approach to online set-membership EIV identification of LTV systems.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021

A non-convex adaptive regularization approach to binary optimization.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Binary input reconstruction for linear systems: a performance analysis.

[BibT_eX]

[DOI]

CoRR, 2020

Sparse linear regression from perturbed data.

[BibT_eX]

[DOI]

Autom., 2020

Bode envelope bounds for linear time-invariant systems affected by semialgebraic parametric uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

Sparse learning with concave regularization: relaxation of the irrepresentable condition.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

A recursive approach for set-membership EIV identification of LTV systems with bounded variation.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Recovery of Binary Sparse Signals From Compressed Linear Measurements via Polynomial Optimization.

[BibT_eX]

[DOI]

Sophie Marie Fosson

Mohammad Abuabiah

IEEE Signal Process. Lett., 2019

Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Input and state estimation exploiting input sparsity.

[BibT_eX]

[DOI]

Proceedings of the 17th European Control Conference, 2019

Sparse linear regression with compressed and low-precision data via concave quadratic programming.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A linear programming approach to sparse linear regression with quantized data.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

2018

A Biconvex Analysis for Lasso ℓ1 Reweighting.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2018

Sparsity estimation from compressive projections via sparse random matrices.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2018

A biconvex analysis for Lasso l1 reweighting.

[BibT_eX]

[DOI]

CoRR, 2018

Online Optimization in Dynamic Environments: A Regret Analysis for Sparse Problems.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Non-convex approach to binary compressed sensing.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Steerable Discrete Cosine Transform.

[BibT_eX]

[DOI]

Giulia Fracastoro

IEEE Trans. Image Process., 2017

GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Randomized Algorithms for Distributed Nonlinear Optimization Under Sparsity Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Distributed Recovery of Jointly Sparse Signals Under Communication Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Steearable Discrete Cosine Transform.

[BibT_eX]

[DOI]

Giulia Fracastoro

Sophie Marie Fosson

CoRR, 2016

Low-power distributed sparse recovery testbed on wireless sensor networks.

[BibT_eX]

[DOI]

Riccardo R. De Lucia

Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016

SparseHash: Embedding Jaccard coefficient between supports of signals.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

Signal sparsity estimation from compressive noisy projections via γ-sparsified random matrices.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Sparsity-promoting sensor selection with energy harvesting constraints.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Deconvolution of Quantized-Input Linear Systems: An Information-Theoretic Approach.

[BibT_eX]

[DOI]

PhD thesis, 2015

Distributed Iterative Thresholding for ℓ0/ℓ1-Regularized Linear Inverse Problems.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2015

Analysis of reduced-search BCJR algorithms for input estimation in a jump linear system.

[BibT_eX]

[DOI]

Signal Process., 2015

Block-sparsity-based localization in wireless sensor networks.

[BibT_eX]

[DOI]

EURASIP J. Wirel. Commun. Netw., 2015

Dictionary design for sensor network localization via block-sparsity.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015

2014

A Distributed Classification/Estimation Algorithm for Sensor Networks.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2014

Energy-saving gossip algorithm for compressed sensing in multi-agent systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Distributed support detection of jointly sparse signals.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Distributed ADMM for in-network reconstruction of sparse signals with innovations.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013

PISTA: Parallel Iterative Soft Thresholding algorithm for sparse image recovery.

[BibT_eX]

[DOI]

Proceedings of the 30th Picture Coding Symposium, 2013

Distributed soft thresholding for sparse signal recovery.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Global Communications Conference, 2013

2012

A large scale analysis of a classification algorithm over sensor networks.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

A decoding approach to fault tolerant control of linear systems with quantised disturbance input.

[BibT_eX]

[DOI]

Int. J. Control, 2011

Input driven consensus algorithm for distributed estimation and classification in sensor networks.

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

A Decoding Approach to Fault Tolerant Control of Linear Systems with Quantized Disturbance Input

[BibT_eX]

[DOI]

CoRR, 2010

Deconvolution of linear systems with quantized input: a coding theoretic viewpoint

[BibT_eX]

[DOI]