Sophie M. Fosson

Orcid: 0000-0003-2316-7404

Affiliations:
  • Polytechnic University of Turin, DAUIN, Italy


According to our database1, Sophie M. Fosson authored at least 49 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A feedback control approach to convex optimization with inequality constraints.
CoRR, 2024

Lasso-based state estimation for cyber-physical systems under sensor attacks.
CoRR, 2024

A new framework for constrained optimization via feedback control of Lagrange multipliers.
CoRR, 2024

On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks.
Proceedings of the 27th International Symposium on Design & Diagnostics of Electronic Circuits & Systems, 2024

2023
Alternating direction method of multipliers for polynomial optimization.
Proceedings of the European Control Conference, 2023

2022
Set-membership identification of continuous-time systems through model transformation.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Centralized and Distributed Online Learning for Sparse Time-Varying Optimization.
IEEE Trans. Autom. Control., 2021

A convex optimization approach to online set-membership EIV identification of LTV systems.
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.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Binary input reconstruction for linear systems: a performance analysis.
CoRR, 2020

Sparse linear regression from perturbed data.
Autom., 2020

Bode envelope bounds for linear time-invariant systems affected by semialgebraic parametric uncertainty.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

Sparse learning with concave regularization: relaxation of the irrepresentable condition.
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.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Recovery of Binary Sparse Signals From Compressed Linear Measurements via Polynomial Optimization.
IEEE Signal Process. Lett., 2019

Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections.
Pattern Recognit. Lett., 2019

Input and state estimation exploiting input sparsity.
Proceedings of the 17th European Control Conference, 2019

Sparse linear regression with compressed and low-precision data via concave quadratic programming.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A linear programming approach to sparse linear regression with quantized data.
Proceedings of the 2019 American Control Conference, 2019

2018
A Biconvex Analysis for Lasso ℓ<sub>1</sub> Reweighting.
IEEE Signal Process. Lett., 2018

Sparsity estimation from compressive projections via sparse random matrices.
EURASIP J. Adv. Signal Process., 2018

A biconvex analysis for Lasso l1 reweighting.
CoRR, 2018

Online Optimization in Dynamic Environments: A Regret Analysis for Sparse Problems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Non-convex approach to binary compressed sensing.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Steerable Discrete Cosine Transform.
IEEE Trans. Image Process., 2017

GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring.
CoRR, 2017

2016
Randomized Algorithms for Distributed Nonlinear Optimization Under Sparsity Constraints.
IEEE Trans. Signal Process., 2016

Distributed Recovery of Jointly Sparse Signals Under Communication Constraints.
IEEE Trans. Signal Process., 2016

Steearable Discrete Cosine Transform.
CoRR, 2016

Low-power distributed sparse recovery testbed on wireless sensor networks.
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016

SparseHash: Embedding Jaccard coefficient between supports of signals.
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

Signal sparsity estimation from compressive noisy projections via γ-sparsified random matrices.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Sparsity-promoting sensor selection with energy harvesting constraints.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Deconvolution of Quantized-Input Linear Systems: An Information-Theoretic Approach.
PhD thesis, 2015

Distributed ADMM for In-Network Reconstruction of Sparse Signals With Innovations.
IEEE Trans. Signal Inf. Process. over Networks, 2015

Distributed Iterative Thresholding for ℓ<sub>0</sub>/ℓ<sub>1</sub>-Regularized Linear Inverse Problems.
IEEE Trans. Inf. Theory, 2015

Analysis of reduced-search BCJR algorithms for input estimation in a jump linear system.
Signal Process., 2015

Block-sparsity-based localization in wireless sensor networks.
EURASIP J. Wirel. Commun. Netw., 2015

Dictionary design for sensor network localization via block-sparsity.
Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015

2014
A Distributed Classification/Estimation Algorithm for Sensor Networks.
SIAM J. Control. Optim., 2014

Energy-saving gossip algorithm for compressed sensing in multi-agent systems.
Proceedings of the IEEE International Conference on Acoustics, 2014

Distributed support detection of jointly sparse signals.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
PISTA: Parallel Iterative Soft Thresholding algorithm for sparse image recovery.
Proceedings of the 30th Picture Coding Symposium, 2013

Distributed soft thresholding for sparse signal recovery.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

2012
A large scale analysis of a classification algorithm over sensor networks.
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.
Int. J. Control, 2011

Input driven consensus algorithm for distributed estimation and classification in sensor networks.
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
CoRR, 2010

Deconvolution of linear systems with quantized input: a coding theoretic viewpoint
CoRR, 2010


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