Sophie M. Fosson

75 papers B 1C 5Misc 5Journal 42Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A New Framework for Constrained Optimization via Feedback Control of Lagrange Multipliers. IEEE Trans. Autom. Control. Vito Cerone, Sophie M. Fosson, Simone Pirrera, Diego Regruto
2025	J	`jnl`	A constrained optimization approach to nonlinear system identification through simulation error minimization. CoRR Vito Cerone, Sophie M. Fosson, Simone Pirrera, Diego Regruto
2025	J	`jnl`	Alternating direction method of multipliers for polynomial optimization. CoRR Vito Cerone, Sophie M. Fosson, Simone Pirrera, Diego Regruto
2025	J	`jnl`	COSMO: COmpressed Sensing for Models and Logging Optimization in MCU Performance Screening. IEEE Trans. Computers Nicolò Bellarmino, Riccardo Cantoro, Sophie M. Fosson, Martin Huch, Tobias Kilian, Ulf Schlichtmann, Giovanni Squillero
2025	—	`conf`	Direct data-driven controller design from bounded errors-in-variables measurements. ECC Vito Cerone, Sophie M. Fosson, Simone Pirrera, Diego Regruto
2025	J	`jnl`	Fast sparse optimization via adaptive shrinkage. CoRR Vito Cerone, Sophie M. Fosson, Diego Regruto
2025	—	`conf`	Fault Tolerant Multi-object Tracking via Temporal Consistency Filtering. ICIAP (2) Rosario Milazzo, Sophie M. Fosson, Lia Morra, Luca Sterpone
2025	—	`conf`	Feedback control of sparse optimization algorithms. ECC Sophie M. Fosson
2025	—	`conf`	Integral control of the proximal gradient method for unbiased sparse optimization. ECC Vito Cerone, Sophie M. Fosson, A. Re, Diego Regruto
2025	J	`jnl`	Integral control of the proximal gradient method for unbiased sparse optimization. CoRR Vito Cerone, Sophie M. Fosson, A. Re, Diego Regruto
2025	J	`jnl`	Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks. CoRR Giulia Fracastoro, Sophie M. Fosson, Andrea Migliorati, Giuseppe Carlo Calafiore
2025	J	`jnl`	Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Giulia Fracastoro, Sophie M. Fosson, Andrea Migliorati, Giuseppe Carlo Calafiore
2025	J	`jnl`	Real-Time Single-Iteration Model Predictive Control for Wave Energy Converters. CoRR Simone Pirrera, Nicolas Faedo, Sophie M. Fosson, Diego Regruto
2025	J	`jnl`	Self-Supervised Pretraining and Quantization for Fault Tolerant Neural Networks: Friend or Foe? IEEE Access Rosario Milazzo, Sophie M. Fosson, Lia Morra, Luca Sterpone
2025	J	`jnl`	Set-membership identification of continuous-time MIMO systems via Tustin discretization. CoRR Vito Cerone, Sophie M. Fosson, Simone Pirrera, Diego Regruto
2025	J	`jnl`	Sparse learning with concave regularization: relaxation of the irrepresentable condition. CoRR Vito Cerone, Sophie M. Fosson, Diego Regruto, Abdul Salam
2024	—	`conf`	A feedback control approach to convex optimization with inequality constraints. CDC Vito Cerone, Sophie M. Fosson, Simone Pirrera, Diego Regruto
2024	J	`jnl`	A feedback control approach to convex optimization with inequality constraints. CoRR Vito Cerone, Sophie M. Fosson, Simone Pirrera, Diego Regruto
2024	J	`jnl`	A new framework for constrained optimization via feedback control of Lagrange multipliers. CoRR Vito Cerone, Sophie M. Fosson, Simone Pirrera, Diego Regruto
2024	—	`conf`	ConQ: Binary Quantization of Neural Networks via Concave Regularization. MLSP Andrea Migliorati, Giulia Fracastoro, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli
2024	J	`jnl`	Lasso-based state estimation for cyber-physical systems under sensor attacks. CoRR Vito Cerone, Sophie M. Fosson, Diego Regruto, Francesco Ripa
2024	C	`conf`	On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks. DDECS Rosario Milazzo, Vincenzo De Marco, Corrado De Sio, Sophie M. Fosson, Lia Morra, Luca Sterpone
2024	—	`conf`	Sparsification of Deep Neural Networks via Ternary Quantization. MLSP Luca Dordoni, Andrea Migliorati, Giulia Fracastoro, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli
2023	—	`conf`	Alternating direction method of multipliers for polynomial optimization. ECC Vito Cerone, Sophie M. Fosson, Simone Pirrera, Diego Regruto
2022	—	`conf`	Set-membership identification of continuous-time systems through model transformation. CDC Vito Cerone, Sophie M. Fosson, Simone Pirrera, Diego Regruto
2021	—	`conf`	A convex optimization approach to online set-membership EIV identification of LTV systems. SICE Sophie M. Fosson, Diego Regruto, Talal Abdalla, Abdul Salam
2021	J	`jnl`	A convex optimization approach to online set-membership EIV identification of LTV systems. CoRR Sophie M. Fosson, Diego Regruto, Talal Abdalla, Abdul Salam
2021	—	`conf`	A non-convex adaptive regularization approach to binary optimization. CDC Vito Cerone, Sophie M. Fosson, Diego Regruto
2021	J	`jnl`	Centralized and Distributed Online Learning for Sparse Time-Varying Optimization. IEEE Trans. Autom. Control. Sophie M. Fosson
2020	—	`conf`	A recursive approach for set-membership EIV identification of LTV systems with bounded variation. CDC Vito Cerone, Sophie M. Fosson, Diego Regruto, Talal Abdalla
2020	J	`jnl`	Binary input reconstruction for linear systems: a performance analysis. CoRR Sophie M. Fosson
2020	—	`conf`	Bode envelope bounds for linear time-invariant systems affected by semialgebraic parametric uncertainty. ICCA Vito Cerone, Sophie M. Fosson, Diego Regruto, Abdul Salam
2020	J	`jnl`	Centralized and distributed online learning for sparse time-varying optimization. CoRR Sophie M. Fosson
2020	—	`conf`	Sparse learning with concave regularization: relaxation of the irrepresentable condition. CDC Vito Cerone, Sophie M. Fosson, Diego Regruto, Abdul Salam
2020	J	`jnl`	Sparse linear regression from perturbed data. Autom. Sophie M. Fosson, Vito Cerone, Diego Regruto
2020	J	`jnl`	Sparse linear regression from perturbed data. CoRR Sophie M. Fosson, Vito Cerone, Diego Regruto
2019	C	`conf`	A linear programming approach to sparse linear regression with quantized data. ACC Vito Cerone, Sophie M. Fosson, Diego Regruto
2019	J	`jnl`	Analysis of SparseHash: An efficient embedding of set-similarity via sparse projections. Pattern Recognit. Lett. Diego Valsesia, Sophie M. Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
2019	—	`conf`	Input and state estimation exploiting input sparsity. ECC Sophie M. Fosson, Federica Garin, Sebin Gracy, Alain Y. Kibangou, Dennis Swart
2019	J	`jnl`	Recovery of binary sparse signals from compressed linear measurements via polynomial optimization. CoRR Sophie M. Fosson, Mohammad Abuabiah
2019	—	`conf`	Sparse linear regression with compressed and low-precision data via concave quadratic programming. CDC Vito Cerone, Sophie M. Fosson, Diego Regruto
2019	J	`jnl`	Sparse linear regression with compressed and low-precision data via concave quadratic programming. CoRR Vito Cerone, Sophie M. Fosson, Diego Regruto
2018	J	`jnl`	A Biconvex Analysis for Lasso ℓ IEEE Signal Process. Lett. Sophie M. Fosson
2018	J	`jnl`	A biconvex analysis for Lasso l1 reweighting. CoRR Sophie M. Fosson
2018	Misc	`conf`	Non-convex approach to binary compressed sensing. ACSSC Sophie M. Fosson
2018	—	`conf`	Online Optimization in Dynamic Environments: A Regret Analysis for Sparse Problems. CDC Sophie M. Fosson
2018	J	`jnl`	Sparsity estimation from compressive projections via sparse random matrices. EURASIP J. Adv. Signal Process. Chiara Ravazzi, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli
2017	J	`jnl`	GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring. CoRR Attilio Fiandrotti, Sophie M. Fosson, Chiara Ravazzi, Enrico Magli
2017	J	`jnl`	Steerable Discrete Cosine Transform. IEEE Trans. Image Process. Giulia Fracastoro, Sophie M. Fosson, Enrico Magli
2016	J	`jnl`	Distributed Recovery of Jointly Sparse Signals Under Communication Constraints. IEEE Trans. Signal Process. Sophie M. Fosson, Javier Matamoros, Carles Antón-Haro, Enrico Magli
2016	J	`jnl`	Distributed recovery of jointly sparse signals under communication constraints. CoRR Sophie M. Fosson, Javier Matamoros, Carles Antón-Haro, Enrico Magli
2016	C	`conf`	Low-power distributed sparse recovery testbed on wireless sensor networks. MMSP Riccardo R. De Lucia, Sophie M. Fosson, Enrico Magli
2016	J	`jnl`	Randomized Algorithms for Distributed Nonlinear Optimization Under Sparsity Constraints. IEEE Trans. Signal Process. Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
2016	Misc	`conf`	Signal sparsity estimation from compressive noisy projections via γ-sparsified random matrices. ICASSP Chiara Ravazzi, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli
2016	—	`conf`	SparseHash: Embedding Jaccard coefficient between supports of signals. ICME Workshops Diego Valsesia, Sophie M. Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
2016	Misc	`conf`	Sparsity-promoting sensor selection with energy harvesting constraints. ICASSP Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro, Sophie M. Fosson
2015	J	`jnl`	Analysis of reduced-search BCJR algorithms for input estimation in a jump linear system. Signal Process. Fabio Fagnani, Sophie M. Fosson
2015	J	`jnl`	Block-sparsity-based localization in wireless sensor networks. EURASIP J. Wirel. Commun. Netw. Alessandro Bay, Diego Carrera, Sophie M. Fosson, Pasqualina Fragneto, Marco Grella, Chiara Ravazzi, Enrico Magli
2015	—	`—`	Deconvolution of Quantized-Input Linear Systems: An Information-Theoretic Approach. Sophie M. Fosson
2015	C	`conf`	Dictionary design for sensor network localization via block-sparsity. MMSP Alessandro Bay, Diego Carrera, Sophie M. Fosson, Pasqualina Fragneto, Marco Grella, Chiara Ravazzi, Enrico Magli
2015	J	`jnl`	Distributed ADMM for In-Network Reconstruction of Sparse Signals With Innovations. IEEE Trans. Signal Inf. Process. over Networks Javier Matamoros, Sophie M. Fosson, Enrico Magli, Carles Antón-Haro
2015	J	`jnl`	Distributed Iterative Thresholding for ℓ IEEE Trans. Inf. Theory Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
2014	J	`jnl`	A Distributed Classification/Estimation Algorithm for Sensor Networks. SIAM J. Control. Optim. Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
2014	—	`conf`	Distributed ADMM for in-network reconstruction of sparse signals with innovations. GlobalSIP Javier Matamoros, Sophie M. Fosson, Enrico Magli, Carles Antón-Haro
2014	Misc	`conf`	Distributed support detection of jointly sparse signals. ICASSP Sophie M. Fosson, Javier Matamoros, Carles Antón-Haro, Enrico Magli
2014	Misc	`conf`	Energy-saving gossip algorithm for compressed sensing in multi-agent systems. ICASSP Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
2013	J	`jnl`	Distributed soft thresholding for sparse signal recovery CoRR Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
2013	B	`conf`	Distributed soft thresholding for sparse signal recovery. GLOBECOM Chiara Ravazzi, Sophie M. Fosson, Enrico Magli
2013	C	`conf`	PISTA: Parallel Iterative Soft Thresholding algorithm for sparse image recovery. PCS Attilio Fiandrotti, Sophie M. Fosson, Chiara Ravazzi, Enrico Magli
2012	J	`jnl`	A distributed classification/estimation algorithm for sensor networks CoRR Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
2012	—	`conf`	A large scale analysis of a classification algorithm over sensor networks. CDC Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
2011	J	`jnl`	A decoding approach to fault tolerant control of linear systems with quantised disturbance input. Int. J. Control Sophie M. Fosson
2011	—	`conf`	Input driven consensus algorithm for distributed estimation and classification in sensor networks. CDC/ECC Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi
2010	J	`jnl`	A Decoding Approach to Fault Tolerant Control of Linear Systems with Quantized Disturbance Input CoRR Sophie M. Fosson
2010	J	`jnl`	Deconvolution of linear systems with quantized input: a coding theoretic viewpoint CoRR Fabio Fagnani, Sophie M. Fosson