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ORCIDSophie M. Fosson
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- affiliation: Polytechnic University of Turin, DAUIN, Italy
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2020 – today
- 2024
[c27]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: 110-115- [c26]Luca Dordoni, Andrea Migliorati, Giulia Fracastoro, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli:
Sparsification of Deep Neural Networks via Ternary Quantization. MLSP 2024: 1-6 - [c25]Andrea Migliorati, Giulia Fracastoro, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli:
ConQ: Binary Quantization of Neural Networks via Concave Regularization. MLSP 2024: 1-6 - [i18]Vito Cerone, Sophie M. Fosson, Simone Pirrera
, Diego Regruto:
A new framework for constrained optimization via feedback control of Lagrange multipliers. CoRR abs/2403.12738 (2024) - [i17]Vito Cerone, Sophie M. Fosson, Diego Regruto, Francesco Ripa:
Lasso-based state estimation for cyber-physical systems under sensor attacks. CoRR abs/2405.20209 (2024) - [i16]Vito Cerone, Sophie M. Fosson, Simone Pirrera, Diego Regruto:
A feedback control approach to convex optimization with inequality constraints. CoRR abs/2409.07168 (2024) - 2023
- [c24]Vito Cerone, Sophie M. Fosson, Simone Pirrera, Diego Regruto:
Alternating direction method of multipliers for polynomial optimization. ECC 2023: 1-6 - 2022
- [c23]Vito Cerone, Sophie M. Fosson, Simone Pirrera, Diego Regruto:
Set-membership identification of continuous-time systems through model transformation. CDC 2022: 868-873 - 2021
- [j15]Sophie M. Fosson:
Centralized and Distributed Online Learning for Sparse Time-Varying Optimization. IEEE Trans. Autom. Control. 66(6): 2542-2557 (2021) - [c22]Vito Cerone, Sophie M. Fosson, Diego Regruto:
A non-convex adaptive regularization approach to binary optimization. CDC 2021: 3844-3849 - [c21]Sophie M. Fosson, Diego Regruto, Talal Abdalla, Abdul Salam:
A convex optimization approach to online set-membership EIV identification of LTV systems. SICE 2021: 1442-1447 - [i15]Sophie M. Fosson, Diego Regruto, Talal Abdalla, Abdul Salam:
A convex optimization approach to online set-membership EIV identification of LTV systems. CoRR abs/2107.01714 (2021) - 2020
- [j14]Sophie M. Fosson, Vito Cerone, Diego Regruto:
Sparse linear regression from perturbed data. Autom. 122: 109284 (2020) - [c20]Vito Cerone, Sophie M. Fosson, Diego Regruto, Abdul Salam:
Sparse learning with concave regularization: relaxation of the irrepresentable condition. CDC 2020: 396-401 - [c19]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: 3951-3956 - [c18]Vito Cerone, Sophie M. Fosson, Diego Regruto, Abdul Salam:
Bode envelope bounds for linear time-invariant systems affected by semialgebraic parametric uncertainty. ICCA 2020: 247-252 - [i14]Sophie M. Fosson:
Centralized and distributed online learning for sparse time-varying optimization. CoRR abs/2001.11939 (2020) - [i13]Sophie M. Fosson, Vito Cerone, Diego Regruto:
Sparse linear regression from perturbed data. CoRR abs/2003.14389 (2020) - [i12]Sophie M. Fosson:
Binary input reconstruction for linear systems: a performance analysis. CoRR abs/2012.01339 (2020)
2010 – 2019
- 2019
- [j13]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: 93-99 (2019) - [j12]Sophie Marie Fosson, Mohammad Abuabiah:
Recovery of Binary Sparse Signals From Compressed Linear Measurements via Polynomial Optimization. IEEE Signal Process. Lett. 26(7): 1070-1074 (2019) - [c17]Vito Cerone, Sophie M. Fosson, Diego Regruto:
A linear programming approach to sparse linear regression with quantized data. ACC 2019: 2990-2995 - [c16]Vito Cerone, Sophie M. Fosson, Diego Regruto:
Sparse linear regression with compressed and low-precision data via concave quadratic programming. CDC 2019: 6971-6976 - [c15]Sophie M. Fosson, Federica Garin, Sebin Gracy, Alain Y. Kibangou, Dennis Swart:
Input and state estimation exploiting input sparsity. ECC 2019: 2344-2349 - [i11]Sophie M. Fosson, Mohammad Abuabiah:
Recovery of binary sparse signals from compressed linear measurements via polynomial optimization. CoRR abs/1905.13181 (2019) - [i10]Diego Valsesia, Sophie Marie Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli:
Analysis of SparseHash: an efficient embedding of set-similarity via sparse projections. CoRR abs/1909.01802 (2019) - [i9]Vito Cerone, Sophie M. Fosson, Diego Regruto:
Sparse linear regression with compressed and low-precision data via concave quadratic programming. CoRR abs/1909.03705 (2019) - 2018
- [j11]Chiara Ravazzi, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli:
Sparsity estimation from compressive projections via sparse random matrices. EURASIP J. Adv. Signal Process. 2018: 56 (2018) - [j10]Sophie M. Fosson:
A Biconvex Analysis for Lasso ℓ1 Reweighting. IEEE Signal Process. Lett. 25(12): 1795-1799 (2018) - [c14]Sophie M. Fosson:
Non-convex approach to binary compressed sensing. ACSSC 2018: 1959-1963 - [c13]Sophie M. Fosson:
Online Optimization in Dynamic Environments: A Regret Analysis for Sparse Problems. CDC 2018: 7225-7230 - [i8]Sophie M. Fosson:
A biconvex analysis for Lasso l1 reweighting. CoRR abs/1812.02990 (2018) - 2017
- [j9]Giulia Fracastoro, Sophie M. Fosson, Enrico Magli:
Steerable Discrete Cosine Transform. IEEE Trans. Image Process. 26(1): 303-314 (2017) - [i7]Attilio Fiandrotti, Sophie M. Fosson, Chiara Ravazzi, Enrico Magli:
GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring. CoRR abs/1707.02244 (2017) - 2016
- [j8]Chiara Ravazzi, Sophie M. Fosson, Enrico Magli:
Randomized Algorithms for Distributed Nonlinear Optimization Under Sparsity Constraints. IEEE Trans. Signal Process. 64(6): 1420-1434 (2016) - [j7]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): 3470-3482 (2016) - [c12]Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro, Sophie M. Fosson:
Sparsity-promoting sensor selection with energy harvesting constraints. ICASSP 2016: 3766-3770 - [c11]Chiara Ravazzi, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli:
Signal sparsity estimation from compressive noisy projections via γ-sparsified random matrices. ICASSP 2016: 4029-4033 - [c10]Diego Valsesia, Sophie M. Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli:
SparseHash: Embedding Jaccard coefficient between supports of signals. ICME Workshops 2016: 1-6 - [c9]Riccardo R. De Lucia, Sophie M. Fosson, Enrico Magli:
Low-power distributed sparse recovery testbed on wireless sensor networks. MMSP 2016: 1-6 - [i6]Giulia Fracastoro, Sophie Marie Fosson, Enrico Magli:
Steearable Discrete Cosine Transform. CoRR abs/1610.09152 (2016) - [i5]Sophie M. Fosson, Javier Matamoros, Carles Antón-Haro, Enrico Magli:
Distributed recovery of jointly sparse signals under communication constraints. CoRR abs/1611.02431 (2016) - 2015
- [b1]Sophie M. Fosson:
Deconvolution of Quantized-Input Linear Systems: An Information-Theoretic Approach. Polytechnic University of Turin, Italy, 2015 - [j6]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: 182 (2015) - [j5]Fabio Fagnani, Sophie M. Fosson:
Analysis of reduced-search BCJR algorithms for input estimation in a jump linear system. Signal Process. 108: 341-350 (2015) - [j4]Chiara Ravazzi, Sophie M. Fosson, Enrico Magli:
Distributed Iterative Thresholding for ℓ0/ℓ1-Regularized Linear Inverse Problems. IEEE Trans. Inf. Theory 61(4): 2081-2100 (2015) - [j3]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): 225-234 (2015) - [c8]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: 1-6 - 2014
- [j2]Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi:
A Distributed Classification/Estimation Algorithm for Sensor Networks. SIAM J. Control. Optim. 52(1): 189-218 (2014) - [c7]Javier Matamoros, Sophie M. Fosson, Enrico Magli, Carles Antón-Haro:
Distributed ADMM for in-network reconstruction of sparse signals with innovations. GlobalSIP 2014: 429-433 - [c6]Chiara Ravazzi, Sophie M. Fosson, Enrico Magli:
Energy-saving gossip algorithm for compressed sensing in multi-agent systems. ICASSP 2014: 5060-5064 - [c5]Sophie M. Fosson, Javier Matamoros, Carles Antón-Haro, Enrico Magli:
Distributed support detection of jointly sparse signals. ICASSP 2014: 6434-6438 - 2013
- [c4]Chiara Ravazzi, Sophie M. Fosson, Enrico Magli:
Distributed soft thresholding for sparse signal recovery. GLOBECOM 2013: 3429-3434 - [c3]Attilio Fiandrotti, Sophie M. Fosson, Chiara Ravazzi, Enrico Magli:
PISTA: Parallel Iterative Soft Thresholding algorithm for sparse image recovery. PCS 2013: 325-328 - [i4]Chiara Ravazzi, Sophie M. Fosson, Enrico Magli:
Distributed soft thresholding for sparse signal recovery. CoRR abs/1301.2130 (2013) - 2012
- [c2]Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi:
A large scale analysis of a classification algorithm over sensor networks. CDC 2012: 4835-4839 - [i3]Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi:
A distributed classification/estimation algorithm for sensor networks. CoRR abs/1206.3793 (2012) - 2011
- [j1]Sophie M. Fosson:
A decoding approach to fault tolerant control of linear systems with quantised disturbance input. Int. J. Control 84(11): 1779-1795 (2011) - [c1]Fabio Fagnani, Sophie M. Fosson, Chiara Ravazzi:
Input driven consensus algorithm for distributed estimation and classification in sensor networks. CDC/ECC 2011: 6654-6659 - 2010
- [i2]Fabio Fagnani, Sophie M. Fosson:
Deconvolution of linear systems with quantized input: a coding theoretic viewpoint. CoRR abs/1001.3550 (2010) - [i1]Sophie M. Fosson:
A Decoding Approach to Fault Tolerant Control of Linear Systems with Quantized Disturbance Input. CoRR abs/1011.2989 (2010)
Coauthor Index
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