Archivio Istituzionale della RicercaFOSSON, SOPHIE
FOSSON, SOPHIE
Dipartimento di Automatica e Informatica
Fosson, Sophie Marie; Fosson, Sophie M.
017439
COSMO: COmpressed Sensing for Models and logging Optimization in MCU Performance Screening
2025 Bellarmino, Nicolò; Cantoro, Riccardo; Fosson, Sophie M.; Huch, Martin; Kilian, Tobias; Schlichtmann, Ulf; Squillero, Giovanni
Self-supervised pretraining and quantization for fault tolerant neural networks: friend or foe?
2025 Milazzo, Rosario; Fosson, Sophie M.; Morra, Lia; Sterpone, Luca
A feedback control approach to convex optimization with inequality constraints
2024 Cerone, Vito; Fosson, Sophie M.; Pirrera, Simone; Regruto, Diego
ConQ: Binary Quantization of Neural Networks via Concave Regularization
2024 Migliorati, Andrea; Fracastoro, Giulia; Fosson, Sophie; Bianchi, Tiziano; Magli, Enrico
Lasso-based state estimation for cyber-physical systems under sensor attacks
2024 Cerone, V.; Fosson, S.; Regruto, D.; Ripa, F.
On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks
2024 Milazzo, Rosario; De Marco, Vincenzo; De Sio, Corrado; Fosson, Sophie; Morra, Lia; Sterpone, Luca
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
2024 Fracastoro, Giulia; Fosson, Sophie M.; Migliorati, Andrea; Calafiore, Giuseppe C.
Sparsification of Deep Neural Networks via Ternary Quantization
2024 Dordoni, Luca; Migliorati, Andrea; Fracastoro, Giulia; Fosson, Sophie; Bianchi, Tiziano; Magli, Enrico
Alternating direction method of multipliers for polynomial optimization
2023 Cerone, V; Fosson, S; Pirrera, S; Regruto, D
Fast sparse optimization via adaptive shrinkage
2023 Cerone, V.; Fosson, S.; Regruto, D.
Set-membership identification of continuous-time systems through model transformation
2022 Cerone, Vito; Fosson, Sophie; Pirrera, Simone; REGRUTO TOMALINO, Diego
A Concave Approach to Errors-In-Variables Sparse Linear System Identification
2021 Fosson, Sophie M.; Cerone, V.; Regruto, D.; Abdalla, T.
A convex optimization approach to online set-membership EIV identification of LTV systems
2021 Fosson, Sophie M.; REGRUTO TOMALINO, Diego; Abdalla, TALAL ALMUTAZ ALMANSI; Salam, Abdul
A non-convex adaptive regularization approach to binary optimization
2021 Cerone, V.; Fosson, S.; Regruto, D.
Centralized and distributed online learning for sparse time-varying optimization
2021 Fosson, S.
A recursive approach for set-membership EIV identification of LTV systems with bounded variation
2020 Cerone, V.; Fosson, S.; Regruto, D.; Abdalla, T.
Bode envelope bounds computation for linear time-invariant systems affected by semialgebraic parametric uncertainty
2020 Cerone, V.; Fosson, S.; Regruto, D.; Salam, A.
Enhancing low-rank solutions in semidefinite relaxations of Boolean quadratic problems
2020 Cerone, Vito; Fosson, Sophie; REGRUTO TOMALINO, Diego
Sparse learning with concave regularization: relaxation of the irrepresentable condition
2020 Cerone, V.; Fosson, S.; Regruto, D.; Salam, A.
Sparse linear regression from perturbed data
2020 Fosson, Sophie M.; Cerone, Vito; Regruto, Diego
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| COSMO: COmpressed Sensing for Models and logging Optimization in MCU Performance Screening / Bellarmino, Nicolò; Cantoro, Riccardo; Fosson, Sophie M.; Huch, Martin; Kilian, Tobias; Schlichtmann, Ulf; Squillero, Giovanni. - In: IEEE TRANSACTIONS ON COMPUTERS. - ISSN 0018-9340. - 74:2(2025), pp. 652-664. [10.1109/tc.2024.3500378] | 1-gen-2025 | Bellarmino, NicolòCantoro, RiccardoFosson, Sophie M.Squillero, Giovanni + | 2023_XXX_Compress_Sensing_Journal_Paper (2).pdf; COSMO_COmpressed_Sensing_for_Models_and_Logging_Optimization_in_MCU_Performance_Screening.pdf |
| Self-supervised pretraining and quantization for fault tolerant neural networks: friend or foe? / Milazzo, Rosario; Fosson, Sophie M.; Morra, Lia; Sterpone, Luca. - In: IEEE ACCESS. - ISSN 2169-3536. - 13:(2025), pp. 75546-75562. [10.1109/access.2025.3564834] | 1-gen-2025 | Milazzo, RosarioFosson, Sophie M.Morra, LiaSterpone, Luca | Self-Supervised_Pretraining_and_Quantization_for_Fault_Tolerant_Neural_Networks_Friend_or_Foe.pdf |
| A feedback control approach to convex optimization with inequality constraints / Cerone, Vito; Fosson, Sophie M.; Pirrera, Simone; Regruto, Diego. - (2024), pp. 2538-2543. (Intervento presentato al convegno 63rd IEEE Conference on Decision and Control (CDC) tenutosi a Milano (IT) nel December 16-19, 2024) [10.1109/CDC56724.2024.10885825]. | 1-gen-2024 | Cerone, VitoFosson, Sophie M.Pirrera, SimoneRegruto, Diego | CDC2024_final.pdf; A_feedback_control_approach_to_convex_optimization_with_inequality_constraints.pdf |
| ConQ: Binary Quantization of Neural Networks via Concave Regularization / Migliorati, Andrea; Fracastoro, Giulia; Fosson, Sophie; Bianchi, Tiziano; Magli, Enrico. - (2024), pp. 1-6. (Intervento presentato al convegno 34th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024 tenutosi a London (UK) nel 22-25 September 2024) [10.1109/mlsp58920.2024.10734837]. | 1-gen-2024 | Migliorati, AndreaFracastoro, GiuliaFosson, SophieBianchi, TizianoMagli, Enrico | conq_camera_ready_OA.pdf; ConQ_Binary_Quantization_of_Neural_Networks_via_Concave_Regularization.pdf |
| Lasso-based state estimation for cyber-physical systems under sensor attacks / Cerone, V.; Fosson, S.; Regruto, D.; Ripa, F.. - 58:(2024), pp. 163-168. (Intervento presentato al convegno 20th IFAC Symposium on System Identification SYSID 2024 tenutosi a Boston (USA) nel July 17-19, 2024) [10.1016/j.ifacol.2024.08.522]. | 1-gen-2024 | Cerone, V.Fosson, S.Regruto, D.Ripa, F. | SYSID2024.pdf |
| On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks / Milazzo, Rosario; De Marco, Vincenzo; De Sio, Corrado; Fosson, Sophie; Morra, Lia; Sterpone, Luca. - ELETTRONICO. - (2024), pp. 110-115. (Intervento presentato al convegno 27th International Symposium on Design and Diagnostics of Electronic Circuits and Systems tenutosi a Kielce (Polonia) nel 3-5 April 2024) [10.1109/DDECS60919.2024.10508923]. | 1-gen-2024 | Milazzo, RosarioDe Marco, VincenzoDe Sio, CorradoFosson, SophieMorra, LiaSterpone, Luca | 2024050425.pdf; On_the_Fault_Tolerance_of_Self-Supervised_Training_in_Convolutional_Neural_Networks.pdf |
| Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks / Fracastoro, Giulia; Fosson, Sophie M.; Migliorati, Andrea; Calafiore, Giuseppe C.. - In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. - ISSN 2162-237X. - (2024), pp. 1-11. [10.1109/tnnls.2024.3373609] | 1-gen-2024 | Fracastoro, GiuliaFosson, Sophie M.Migliorati, AndreaCalafiore, Giuseppe C. | paper finale.pdf |
| Sparsification of Deep Neural Networks via Ternary Quantization / Dordoni, Luca; Migliorati, Andrea; Fracastoro, Giulia; Fosson, Sophie; Bianchi, Tiziano; Magli, Enrico. - (2024), pp. 1-6. (Intervento presentato al convegno 34th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024 tenutosi a London (UK) nel 2024) [10.1109/mlsp58920.2024.10734714]. | 1-gen-2024 | Dordoni, LucaMigliorati, AndreaFracastoro, GiuliaFosson, SophieBianchi, TizianoMagli, Enrico | Sparsification of Deep Neural Networks via Ternary Quantization_OA.pdf; Sparsification_of_Deep_Neural_Networks_via_Ternary_Quantization.pdf |
| Alternating direction method of multipliers for polynomial optimization / Cerone, V; Fosson, S; Pirrera, S; Regruto, D. - ELETTRONICO. - (2023), pp. 1-6. (Intervento presentato al convegno 2023 European Control Conference (ECC) tenutosi a Bucharest, Romania nel 13-16 June 2023) [10.23919/ECC57647.2023.10178190]. | 1-gen-2023 | V CeroneS FossonS PirreraD Regruto | admm4pop_main_final.pdf; ADMM4POP_ECC23.pdf |
| Fast sparse optimization via adaptive shrinkage / Cerone, V.; Fosson, S.; Regruto, D.. - 56:(2023), pp. 10390-10395. (Intervento presentato al convegno 22nd IFAC World Congress tenutosi a Yokohama (JPN) nel July 9-14, 2023) [10.1016/j.ifacol.2023.10.1052]. | 1-gen-2023 | Cerone V.Fosson S.Regruto D. | IFAC23_main_v2.0.pdf; 1-s2.0-S2405896323014544-main.pdf |
| Set-membership identification of continuous-time systems through model transformation / Cerone, Vito; Fosson, Sophie; Pirrera, Simone; REGRUTO TOMALINO, Diego. - ELETTRONICO. - (2022), pp. 868-873. (Intervento presentato al convegno 61th IEEE Conference on Decision and Control (CDC 2022) tenutosi a Cancun, Mexico nel December 6-9, 2022) [10.1109/CDC51059.2022.9992815]. | 1-gen-2022 | Vito CeroneSophie FossonSimone PirreraDiego Regruto | Set-membership_identification_of_continuous-time_systems_through_model_transformation.pdf |
| A Concave Approach to Errors-In-Variables Sparse Linear System Identification / Fosson, Sophie M.; Cerone, V.; Regruto, D.; Abdalla, T.. - ELETTRONICO. - 54-7:(2021), pp. 298-303. (Intervento presentato al convegno the 19th IFAC Symposium on System Identification) [10.1016/j.ifacol.2021.08.375]. | 1-gen-2021 | Sophie M. FossonV. CeroneD. RegrutoT. Abdalla | 1-s2.0-S2405896321011496-main.pdf |
| A convex optimization approach to online set-membership EIV identification of LTV systems / Fosson, Sophie M.; REGRUTO TOMALINO, Diego; Abdalla, TALAL ALMUTAZ ALMANSI; Salam, Abdul. - ELETTRONICO. - (2021), pp. 1442-1447. (Intervento presentato al convegno The 2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) tenutosi a Tokyo (Japan) nel 8-10 Sept. 2021). | 1-gen-2021 | Sophie M. FossonDiego RegrutoTalal AbdallaAbdul Salam | A_convex_optimization_approach_to_online_set-membership_EIV_identification_of_LTV_systems.pdf |
| A non-convex adaptive regularization approach to binary optimization / Cerone, V.; Fosson, S.; Regruto, D.. - (2021), pp. 3844-3849. (Intervento presentato al convegno 60th IEEE Conference on Decision and Control, CDC 2021 tenutosi a Austin, TX (USA) nel 14-17 December 2021) [10.1109/CDC45484.2021.9683667]. | 1-gen-2021 | Cerone V.Fosson S.Regruto D. | CDC2021_v2.0.pdf; A_non-convex_adaptive_regularization_approach_to_binary_optimization.pdf |
| Centralized and distributed online learning for sparse time-varying optimization / Fosson, S.. - In: IEEE TRANSACTIONS ON AUTOMATIC CONTROL. - ISSN 0018-9286. - 66:6(2021), pp. 2542-2557. [10.1109/TAC.2020.3010242] | 1-gen-2021 | Fosson S. | 09144431.pdf; Centralized_and_Distributed_Online_Learning_for_Sparse_Time-Varying_Optimization.pdf |
| A recursive approach for set-membership EIV identification of LTV systems with bounded variation / Cerone, V.; Fosson, S.; Regruto, D.; Abdalla, T.. - ELETTRONICO. - (2020), pp. 3951-3956. (Intervento presentato al convegno 2020 IEEE 59th Conference on Decision and Control (CDC) tenutosi a Jeju Island (Republic of Korea) nel December 14-18, 2020) [10.1109/CDC42340.2020.9304379]. | 1-gen-2020 | V. CeroneS. FossonD. RegrutoT. Abdalla | 09304379.pdf |
| Bode envelope bounds computation for linear time-invariant systems affected by semialgebraic parametric uncertainty / Cerone, V.; Fosson, S.; Regruto, D.; Salam, A.. - ELETTRONICO. - (2020), pp. 247-252. (Intervento presentato al convegno 16th IEEE international conference on control & automation (ICCA 2020) tenutosi a Sapporo, Hokkaido, Japan nel October 9-11, 2020) [10.1109/ICCA51439.2020.9264418]. | 1-gen-2020 | V. CeroneS. FossonD. RegrutoA. Salam | 09264418.pdf |
| Enhancing low-rank solutions in semidefinite relaxations of Boolean quadratic problems / Cerone, Vito; Fosson, Sophie; REGRUTO TOMALINO, Diego. - ELETTRONICO. - vol. 53 n.2:(2020), pp. 1894-1899. (Intervento presentato al convegno 21th IFAC World Congress tenutosi a Berlin, Germany (Virtual) nel July 12-17, 2020) [10.1016/j.ifacol.2020.12.2578]. | 1-gen-2020 | Vito CeroneSophie FossonDiego Regruto | 1-s2.0-S2405896320333309-main.pdf |
| Sparse learning with concave regularization: relaxation of the irrepresentable condition / Cerone, V.; Fosson, S.; Regruto, D.; Salam, A.. - ELETTRONICO. - (2020), pp. 396-401. (Intervento presentato al convegno 59th IEEE Conference on Decision and Control (CDC) tenutosi a Jeju Island (Republic of Korea) nel December 14-18, 2020) [10.1109/CDC42340.2020.9304508]. | 1-gen-2020 | V. CeroneS. FossonD. RegrutoA. Salam | CDC2020_v3.0.pdf; 09304508.pdf |
| Sparse linear regression from perturbed data / Fosson, Sophie M.; Cerone, Vito; Regruto, Diego. - In: AUTOMATICA. - ISSN 0005-1098. - 122 (109284):(2020). [10.1016/j.automatica.2020.109284] | 1-gen-2020 | Fosson, Sophie M.Cerone, VitoRegruto, Diego | 1-s2.0-S0005109820304830-main.pdf |