Sophie M. Fosson

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 36

Top Topics

Sensor Networks

Lagrange Multipliers

Linear Regression

Top Venues

IEEE Trans. Signal Process.

Publications

Rosario Milazzo, Vincenzo De Marco, Corrado De Sio, Sophie M. Fosson, Lia Morra, Luca Sterpone
On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks. DDECS (2024)
Vito Cerone, Sophie M. Fosson, Simone Pirrera, Diego Regruto
A new framework for constrained optimization via feedback control of Lagrange multipliers. CoRR (2024)
Vito Cerone, Sophie M. Fosson, Diego Regruto, Francesco Ripa
Lasso-based state estimation for cyber-physical systems under sensor attacks. CoRR (2024)
Vito Cerone, Sophie M. Fosson, S. Pirrera, Diego Regruto
Alternating direction method of multipliers for polynomial optimization. ECC (2023)
Vito Cerone, Sophie M. Fosson, S. Pirrera, Diego Regruto
Set-membership identification of continuous-time systems through model transformation. CDC (2022)
Sophie M. Fosson
Centralized and Distributed Online Learning for Sparse Time-Varying Optimization. IEEE Trans. Autom. Control. 66 (6) (2021)
Sophie M. Fosson, Diego Regruto, Talal Abdalla, Abdul Salam
A convex optimization approach to online set-membership EIV identification of LTV systems. CoRR (2021)
Vito Cerone, Sophie M. Fosson, Diego Regruto
A non-convex adaptive regularization approach to binary optimization. CDC (2021)
Sophie M. Fosson, Diego Regruto, Talal Abdalla, Abdul Salam
A convex optimization approach to online set-membership EIV identification of LTV systems. SICE (2021)
Sophie M. Fosson, Vito Cerone, Diego Regruto
Sparse linear regression from perturbed data. Autom. 122 (2020)
Vito Cerone, Sophie M. Fosson, Diego Regruto, Abdul Salam
Bode envelope bounds for linear time-invariant systems affected by semialgebraic parametric uncertainty. ICCA (2020)
Vito Cerone, Sophie M. Fosson, Diego Regruto, Talal Abdalla
A recursive approach for set-membership EIV identification of LTV systems with bounded variation. CDC (2020)
Sophie M. Fosson
Binary input reconstruction for linear systems: a performance analysis. CoRR (2020)
Sophie M. Fosson
Centralized and distributed online learning for sparse time-varying optimization. CoRR (2020)
Sophie M. Fosson, Vito Cerone, Diego Regruto
Sparse linear regression from perturbed data. CoRR (2020)
Vito Cerone, Sophie M. Fosson, Diego Regruto, Abdul Salam
Sparse learning with concave regularization: relaxation of the irrepresentable condition. CDC (2020)
Sophie M. Fosson, Mohammad Abuabiah
Recovery of binary sparse signals from compressed linear measurements via polynomial optimization. CoRR (2019)
Sophie M. Fosson, Federica Garin, Sebin Gracy, Alain Y. Kibangou, Dennis Swart
Input and state estimation exploiting input sparsity. ECC (2019)
Vito Cerone, Sophie M. Fosson, Diego Regruto
Sparse linear regression with compressed and low-precision data via concave quadratic programming. CoRR (2019)
Vito Cerone, Sophie M. Fosson, Diego Regruto
Sparse linear regression with compressed and low-precision data via concave quadratic programming. CDC (2019)
Diego Valsesia, Sophie M. Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections. Pattern Recognit. Lett. 128 (2019)
Vito Cerone, Sophie M. Fosson, Diego Regruto
A linear programming approach to sparse linear regression with quantized data. ACC (2019)
Sophie M. Fosson
Non-convex approach to binary compressed sensing. ACSSC (2018)
Sophie M. Fosson
Online Optimization in Dynamic Environments: A Regret Analysis for Sparse Problems. CDC (2018)
Sophie M. Fosson
A biconvex analysis for Lasso l1 reweighting. CoRR (2018)
Chiara Ravazzi, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli
Sparsity estimation from compressive projections via sparse random matrices. EURASIP J. Adv. Signal Process. 2018 (2018)
Sophie M. Fosson
Reweighting. IEEE Signal Process. Lett. 25 (12) (2018)
Giulia Fracastoro, Sophie M. Fosson, Enrico Magli
Steerable Discrete Cosine Transform. IEEE Trans. Image Process. 26 (1) (2017)
Attilio Fiandrotti, Sophie M. Fosson, Chiara Ravazzi, Enrico Magli
GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring. CoRR (2017)
Diego Valsesia, Sophie M. Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
SparseHash: Embedding Jaccard coefficient between supports of signals. ICME Workshops (2016)
Sophie M. Fosson, Javier Matamoros, Carles Antón-Haro, Enrico Magli
Distributed Recovery of Jointly Sparse Signals Under Communication Constraints. IEEE Trans. Signal Process. 64 (13) (2016)
Sophie M. Fosson, Javier Matamoros, Carles Antón-Haro, Enrico Magli
Distributed recovery of jointly sparse signals under communication constraints. CoRR (2016)
Riccardo R. De Lucia, Sophie M. Fosson, Enrico Magli
Low-power distributed sparse recovery testbed on wireless sensor networks. MMSP (2016)
Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
Randomized Algorithms for Distributed Nonlinear Optimization Under Sparsity Constraints. IEEE Trans. Signal Process. 64 (6) (2016)
Chiara Ravazzi, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli
Signal sparsity estimation from compressive noisy projections via γ-sparsified random matrices. ICASSP (2016)
Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro, Sophie M. Fosson
Sparsity-promoting sensor selection with energy harvesting constraints. ICASSP (2016)
Fabio Fagnani, Sophie M. Fosson
Analysis of reduced-search BCJR algorithms for input estimation in a jump linear system. Signal Process. 108 (2015)
Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
-Regularized Linear Inverse Problems. IEEE Trans. Inf. Theory 61 (4) (2015)
Alessandro Bay, Diego Carrera, Sophie M. Fosson, Pasqualina Fragneto, Marco Grella, Chiara Ravazzi, Enrico Magli
Dictionary design for sensor network localization via block-sparsity. MMSP (2015)
Javier Matamoros, Sophie M. Fosson, Enrico Magli, Carles Antón-Haro
Distributed ADMM for In-Network Reconstruction of Sparse Signals With Innovations. IEEE Trans. Signal Inf. Process. over Networks 1 (4) (2015)
Alessandro Bay, Diego Carrera, Sophie M. Fosson, Pasqualina Fragneto, Marco Grella, Chiara Ravazzi, Enrico Magli
Block-sparsity-based localization in wireless sensor networks. EURASIP J. Wirel. Commun. Netw. 2015 (2015)
Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
Energy-saving gossip algorithm for compressed sensing in multi-agent systems. ICASSP (2014)
Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
A Distributed Classification/Estimation Algorithm for Sensor Networks. SIAM J. Control. Optim. 52 (1) (2014)
Sophie M. Fosson, Javier Matamoros, Carles Antón-Haro, Enrico Magli
Distributed support detection of jointly sparse signals. ICASSP (2014)
Javier Matamoros, Sophie M. Fosson, Enrico Magli, Carles Antón-Haro
Distributed ADMM for in-network reconstruction of sparse signals with innovations. GlobalSIP (2014)
Attilio Fiandrotti, Sophie M. Fosson, Chiara Ravazzi, Enrico Magli
PISTA: Parallel Iterative Soft Thresholding algorithm for sparse image recovery. PCS (2013)
Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
Distributed soft thresholding for sparse signal recovery. GLOBECOM (2013)
Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
Distributed soft thresholding for sparse signal recovery CoRR (2013)
Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
A distributed classification/estimation algorithm for sensor networks CoRR (2012)
Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
A large scale analysis of a classification algorithm over sensor networks. CDC (2012)
Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
Input driven consensus algorithm for distributed estimation and classification in sensor networks. CDC/ECC (2011)
Sophie M. Fosson
A decoding approach to fault tolerant control of linear systems with quantised disturbance input. Int. J. Control 84 (11) (2011)
Sophie M. Fosson
A Decoding Approach to Fault Tolerant Control of Linear Systems with Quantized Disturbance Input CoRR (2010)
Fabio Fagnani, Sophie M. Fosson
Deconvolution of linear systems with quantized input: a coding theoretic viewpoint CoRR (2010)