Archivio Istituzionale della RicercaFOSSON, SOPHIE
FOSSON, SOPHIE
Dipartimento di Automatica e Informatica
Fosson, Sophie Marie; Fosson, Sophie M.
017439
Fault tolerant multi-object tracking via temporal consistency filtering
2026 Milazzo, Rosario; Fosson, Sophie; Morra, Lia; Sterpone, Luca
A New Framework for Constrained Optimization via Feedback Control of Lagrange Multipliers
2025 Cerone, V.; Fosson, S.; Pirrera, S.; Regruto, D.
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
Direct data-driven controller design from bounded errors-in-variables measurements
2025 Cerone, V.; Fosson, S.; Pirrera, S.; Regruto, D.
Integral control of the proximal gradient method for unbiased sparse optimization
2025 Cerone, Vito; Fosson, Sophie Marie; Re, Alice; Regruto, Diego
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
2025 Fracastoro, Giulia; Fosson, Sophie M.; Migliorati, Andrea; Calafiore, Giuseppe C.
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
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.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Fault tolerant multi-object tracking via temporal consistency filtering / Milazzo, R., Fosson, S., Morra, L., Sterpone, L.. - ELETTRONICO. - 16168:(2026), pp. 314-326. (23rd International Conference on Image Analysis and Processing (ICIAP) 2025 Rome (ITA) September 15–19, 2025) [10.1007/978-3-032-10192-1_26]. | 1-gen-2026 | Rosario MilazzoSophie FossonLia MorraLuca Sterpone | ICIAP.pdf; 978-3-032-10192-1_26.pdf |
| A New Framework for Constrained Optimization via Feedback Control of Lagrange Multipliers / Cerone, V., Fosson, S., Pirrera, S., Regruto, D.. - In: IEEE TRANSACTIONS ON AUTOMATIC CONTROL. - ISSN 0018-9286. - 70:11(2025), pp. 7141-7156. [10.1109/TAC.2025.3568651] | 1-gen-2025 | Cerone V.Fosson S.Pirrera S.Regruto D. | A_New_Framework_for_Constrained_Optimization_via_Feedback_Control_of_Lagrange_Multipliers.pdf; CMO_final.pdf |
| COSMO: COmpressed Sensing for Models and logging Optimization in MCU Performance Screening / Bellarmino, N., Cantoro, R., Fosson, S.M., Huch, M., Kilian, T., Schlichtmann, U., Squillero, G.. - 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 |
| Direct data-driven controller design from bounded errors-in-variables measurements / Cerone, V., Fosson, S., Pirrera, S., Regruto, D.. - (2025), pp. 2297-2302. (2023 European Control Conference (ECC) Thessaloniki (GRC) 24-27 June 2025) [10.23919/ecc65951.2025.11187201]. | 1-gen-2025 | Cerone, V.Fosson, S.Pirrera, S.Regruto, D. | Direct_data-driven_controller_design_from_bounded_errors-in-variables_measurements.pdf; ECC_EIV_DDDC_final.pdf |
| Integral control of the proximal gradient method for unbiased sparse optimization / Cerone, Vito; Fosson, Sophie Marie; Re, Alice; Regruto, Diego. - ELETTRONICO. - (2025), pp. 1515-1520. ( 2025 European Control Conference (ECC) Thessaloniki (GRC) 24-27 June 2025) [10.23919/ECC65951.2025.11186836]. | 1-gen-2025 | Cerone, VitoFosson, Sophie MarieRe, AliceRegruto, Diego | 2504.12814v1.pdf; Integral_control_of_the_proximal_gradient_method_for_unbiased_sparse_optimization.pdf |
| Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks / Fracastoro, G., Fosson, S.M., Migliorati, A., Calafiore, G.C.. - In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. - ISSN 2162-237X. - (2025), pp. 1-11. [10.1109/tnnls.2024.3373609] | 1-gen-2025 | Fracastoro, GiuliaFosson, Sophie M.Migliorati, AndreaCalafiore, Giuseppe C. | paper finale.pdf |
| Self-supervised pretraining and quantization for fault tolerant neural networks: friend or foe? / Milazzo, R., Fosson, S.M., Morra, L., Sterpone, L.. - 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, V., Fosson, S.M., Pirrera, S., Regruto, D.. - (2024), pp. 2538-2543. (63rd IEEE Conference on Decision and Control (CDC) Milano (IT) 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, A., Fracastoro, G., Fosson, S., Bianchi, T., Magli, E.. - (2024), pp. 1-6. (34th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024 London (UK) 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. (20th IFAC Symposium on System Identification SYSID 2024 Boston (USA) 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, R., De Marco, V., De Sio, C., Fosson, S., Morra, L., Sterpone, L.. - ELETTRONICO. - (2024), pp. 110-115. (27th International Symposium on Design and Diagnostics of Electronic Circuits and Systems Kielce (Polonia) 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 |
| Sparsification of Deep Neural Networks via Ternary Quantization / Dordoni, L., Migliorati, A., Fracastoro, G., Fosson, S., Bianchi, T., Magli, E.. - (2024), pp. 1-6. (34th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024 London (UK) 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. (2023 European Control Conference (ECC) Bucharest, Romania 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. (22nd IFAC World Congress Yokohama (JPN) 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, V., Fosson, S., Pirrera, S., REGRUTO TOMALINO, D.. - ELETTRONICO. - (2022), pp. 868-873. (61th IEEE Conference on Decision and Control (CDC 2022) Cancun, Mexico 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, S.M., Cerone, V., Regruto, D., Abdalla, T.. - ELETTRONICO. - 54-7:(2021), pp. 298-303. (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, S.M., REGRUTO TOMALINO, D., Abdalla, T.A.A., Salam, A.. - ELETTRONICO. - (2021), pp. 1442-1447. (The 2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Tokyo (Japan) 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. (60th IEEE Conference on Decision and Control, CDC 2021 Austin, TX (USA) 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. (2020 IEEE 59th Conference on Decision and Control (CDC) Jeju Island (Republic of Korea) December 14-18, 2020) [10.1109/CDC42340.2020.9304379]. | 1-gen-2020 | V. CeroneS. FossonD. RegrutoT. Abdalla | 09304379.pdf |