Deconvolution of linear systems with quantized input: a coding theoretic viewpoint - Fabio Fagnani; Sophie M. Fosson (CoRR, 2010)

A Decoding Approach to Fault Tolerant Control of Linear Systems with Quantized Disturbance Input - Sophie M. Fosson (CoRR, 2010)

Input driven consensus algorithm for distributed estimation and classification in sensor networks. - Fabio Fagnani; Sophie M. Fosson; Chiara Ravazzi (CDC/ECC, 2011)

A decoding approach to fault tolerant control of linear systems with quantised disturbance input. - Sophie M. Fosson (Int. J. Control, 2011)

A large scale analysis of a classification algorithm over sensor networks. - Fabio Fagnani; Sophie M. Fosson; Chiara Ravazzi (CDC, 2012)

Distributed soft thresholding for sparse signal recovery. - Chiara Ravazzi; Sophie M. Fosson; Enrico Magli (GLOBECOM, 2013)

PISTA: Parallel Iterative Soft Thresholding algorithm for sparse image recovery. - Attilio Fiandrotti; Sophie M. Fosson; Chiara Ravazzi; Enrico Magli (PCS, 2013)

Distributed support detection of jointly sparse signals. - Sophie M. Fosson; Javier Matamoros; Carles Antón-Haro; Enrico Magli (ICASSP, 2014)

Energy-saving gossip algorithm for compressed sensing in multi-agent systems. - Chiara Ravazzi; Sophie M. Fosson; Enrico Magli (ICASSP, 2014)

A Distributed Classification/Estimation Algorithm for Sensor Networks. - Fabio Fagnani; Sophie M. Fosson; Chiara Ravazzi (SIAM J. Control. Optim., 2014)

Dictionary design for sensor network localization via block-sparsity. - Alessandro Bay; Diego Carrera; Sophie M. Fosson; Pasqualina Fragneto; Marco Grella; Chiara Ravazzi; Enrico Magli (MMSP, 2015)

Block-sparsity-based localization in wireless sensor networks. - Alessandro Bay; Diego Carrera; Sophie M. Fosson; Pasqualina Fragneto; Marco Grella; Chiara Ravazzi; Enrico Magli (EURASIP J. Wirel. Commun. Netw., 2015)

Analysis of reduced-search BCJR algorithms for input estimation in a jump linear system. - Fabio Fagnani; Sophie M. Fosson (Signal Process., 2015)

Distributed Iterative Thresholding for ℓ0/ℓ1-Regularized Linear Inverse Problems. - Chiara Ravazzi; Sophie M. Fosson; Enrico Magli (IEEE Trans. Inf. Theory, 2015)

Distributed ADMM for In-Network Reconstruction of Sparse Signals With Innovations. - Javier Matamoros; Sophie M. Fosson; Enrico Magli; Carles Antón-Haro (IEEE Trans. Signal Inf. Process. over Networks, 2015)

Deconvolution of Quantized-Input Linear Systems: An Information-Theoretic Approach. - Sophie M. Fosson (2015)

Sparsity-promoting sensor selection with energy harvesting constraints. - Miguel Calvo-Fullana; Javier Matamoros; Carles Antón-Haro; Sophie M. Fosson (ICASSP, 2016)

Signal sparsity estimation from compressive noisy projections via γ-sparsified random matrices. - Chiara Ravazzi; Sophie M. Fosson; Tiziano Bianchi; Enrico Magli (ICASSP, 2016)

SparseHash: Embedding Jaccard coefficient between supports of signals. - Diego Valsesia; Sophie M. Fosson; Chiara Ravazzi; Tiziano Bianchi; Enrico Magli (ICME Workshops, 2016)

Low-power distributed sparse recovery testbed on wireless sensor networks. - Riccardo R. De Lucia; Sophie M. Fosson; Enrico Magli (MMSP, 2016)

Steearable Discrete Cosine Transform. - Giulia Fracastoro; Sophie Marie Fosson; Enrico Magli (CoRR, 2016)

Distributed Recovery of Jointly Sparse Signals Under Communication Constraints. - Sophie M. Fosson; Javier Matamoros; Carles Antón-Haro; Enrico Magli (IEEE Trans. Signal Process., 2016)

Randomized Algorithms for Distributed Nonlinear Optimization Under Sparsity Constraints. - Chiara Ravazzi; Sophie M. Fosson; Enrico Magli (IEEE Trans. Signal Process., 2016)

GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring. - Attilio Fiandrotti; Sophie M. Fosson; Chiara Ravazzi; Enrico Magli (CoRR, 2017)

Steerable Discrete Cosine Transform. - Giulia Fracastoro; Sophie M. Fosson; Enrico Magli (IEEE Trans. Image Process., 2017)

Non-convex approach to binary compressed sensing. - Sophie M. Fosson (ACSSC, 2018)

Online Optimization in Dynamic Environments: A Regret Analysis for Sparse Problems. - Sophie M. Fosson (CDC, 2018)

A biconvex analysis for Lasso l1 reweighting. - Sophie M. Fosson (CoRR, 2018)

Sparsity estimation from compressive projections via sparse random matrices. - Chiara Ravazzi; Sophie M. Fosson; Tiziano Bianchi; Enrico Magli (EURASIP J. Adv. Signal Process., 2018)

A Biconvex Analysis for Lasso ℓ1 Reweighting. - Sophie M. Fosson (IEEE Signal Process. Lett., 2018)

A linear programming approach to sparse linear regression with quantized data. - Vito Cerone; Sophie M. Fosson; Diego Regruto (ACC, 2019)

Sparse linear regression with compressed and low-precision data via concave quadratic programming. - Vito Cerone; Sophie M. Fosson; Diego Regruto (CDC, 2019)

Input and state estimation exploiting input sparsity. - Sophie M. Fosson; Federica Garin; Sebin Gracy; Alain Y. Kibangou; Dennis Swart (ECC, 2019)

Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections. - Diego Valsesia; Sophie M. Fosson; Chiara Ravazzi; Tiziano Bianchi; Enrico Magli (Pattern Recognit. Lett., 2019)

Recovery of Binary Sparse Signals From Compressed Linear Measurements via Polynomial Optimization. - Sophie Marie Fosson; Mohammad Abuabiah (IEEE Signal Process. Lett., 2019)

A recursive approach for set-membership EIV identification of LTV systems with bounded variation. - Vito Cerone; Sophie M. Fosson; Diego Regruto; Talal Abdalla (CDC, 2020)

Sparse learning with concave regularization: relaxation of the irrepresentable condition. - Vito Cerone; Sophie M. Fosson; Diego Regruto; Abdul Salam (CDC, 2020)

Bode envelope bounds for linear time-invariant systems affected by semialgebraic parametric uncertainty. - Vito Cerone; Sophie M. Fosson; Diego Regruto; Abdul Salam (ICCA, 2020)

Sparse linear regression from perturbed data. - Sophie M. Fosson; Vito Cerone; Diego Regruto (Autom., 2020)

Binary input reconstruction for linear systems: a performance analysis. - Sophie M. Fosson (CoRR, 2020)

A non-convex adaptive regularization approach to binary optimization. - Vito Cerone; Sophie M. Fosson; Diego Regruto (CDC, 2021)

A convex optimization approach to online set-membership EIV identification of LTV systems. - Sophie M. Fosson; Diego Regruto; Talal Abdalla; Abdul Salam (SICE, 2021)

Centralized and Distributed Online Learning for Sparse Time-Varying Optimization. - Sophie M. Fosson (IEEE Trans. Autom. Control., 2021)

Set-membership identification of continuous-time systems through model transformation. - Vito Cerone; Sophie M. Fosson; Simone Pirrera; Diego Regruto (CDC, 2022)

Alternating direction method of multipliers for polynomial optimization. - Vito Cerone; Sophie M. Fosson; Simone Pirrera; Diego Regruto (ECC, 2023)

A feedback control approach to convex optimization with inequality constraints. - Vito Cerone; Sophie M. Fosson; Simone Pirrera; Diego Regruto (CDC, 2024)

On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks. - Rosario Milazzo; Vincenzo De Marco; Corrado De Sio; Sophie M. Fosson; Lia Morra; Luca Sterpone (DDECS, 2024)

Sparsification of Deep Neural Networks via Ternary Quantization. - Luca Dordoni; Andrea Migliorati; Giulia Fracastoro; Sophie M. Fosson; Tiziano Bianchi; Enrico Magli (MLSP, 2024)

ConQ: Binary Quantization of Neural Networks via Concave Regularization. - Andrea Migliorati; Giulia Fracastoro; Sophie M. Fosson; Tiziano Bianchi; Enrico Magli (MLSP, 2024)

A new framework for constrained optimization via feedback control of Lagrange multipliers. - Vito Cerone; Sophie M. Fosson; Simone Pirrera; Diego Regruto (CoRR, 2024)

Lasso-based state estimation for cyber-physical systems under sensor attacks. - Vito Cerone; Sophie M. Fosson; Diego Regruto; Francesco Ripa (CoRR, 2024)

Self-Supervised Pretraining and Quantization for Fault Tolerant Neural Networks: Friend or Foe? - Rosario Milazzo; Sophie M. Fosson; Lia Morra; Luca Sterpone (IEEE Access, 2025)

Fast sparse optimization via adaptive shrinkage. - Vito Cerone; Sophie M. Fosson; Diego Regruto (CoRR, 2025)

COSMO: COmpressed Sensing for Models and Logging Optimization in MCU Performance Screening. - Nicolò Bellarmino; Riccardo Cantoro; Sophie M. Fosson; Martin Huch; Tobias Kilian; Ulf Schlichtmann; Giovanni Squillero (IEEE Trans. Computers, 2025)

Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks. - Giulia Fracastoro; Sophie M. Fosson; Andrea Migliorati; Giuseppe Carlo Calafiore (IEEE Trans. Neural Networks Learn. Syst., 2025)

Integral control of the proximal gradient method for unbiased sparse optimization. - Vito Cerone; Sophie M. Fosson; A. Re; Diego Regruto (CoRR, 2025)