Archivio Istituzionale della RicercaMAGRI, LUCA
MAGRI, LUCA
Dipartimento di Ingegneria Meccanica e Aerospaziale
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Risultati 1 - 11 di 11 (tempo di esecuzione: 0.023 secondi).
Adjoint Sensitivities of Chaotic Flows Without Adjoint Solvers: A Data-Driven Approach
2024 Ozan, Defne Ege; Magri, Luca
Anomaly Detection in Optical Spectra VIA Joint Optimization
2023 Rizzo, Antonino Maria; Magri, Luca; Invernizzi, Pietro; Sozio, Enrico; Piciaccia, Stefano; Tanzi, Alberto; Binetti, Stefano; Alippi, Cesare; Boracchi, Giacomo
Bayesian Optimization of the Layout of Wind Farms with a High-Fidelity Surrogate Model
2023 Bempedelis, Nikolaos; Magri, Luca
Convolutional Autoencoder for the Spatiotemporal Latent Representation of Turbulence
2023 Doan, Nguyen Anh Khoa; Racca, Alberto; Magri, Luca
Data-Driven Stability Analysis of a Chaotic Time-Delayed System
2023 Margazoglou, Georgios; Magri, Luca
Event Detection in Optical Signals via Domain Adaptation
2023 Rizzo, ANTONINO MARIA; Magri, Luca; Invernizzi, Pietro; Sozio, Enrico; Aquaro, Gabriele; Binetti, Stefano; Alippi, Cesare; Boracchi, Giacomo
Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
2023 Özalp, Elise; Margazoglou, Georgios; Magri, Luca
Statistical Prediction of Extreme Events from Small Datasets
2022 Racca, Alberto; Magri, Luca
Automatic-differentiated Physics-Informed Echo State Network (API-ESN)
2021 Racca, A.; Magri, L.
Learning Ergodic Averages in Chaotic Systems
2020 Huhn, Francisco; Magri, Luca
Learning hidden states in a chaotic system: A physics-informed echo state network approach
2020 Doan, N. A. K.; Polifke, W.; Magri, L.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Adjoint Sensitivities of Chaotic Flows Without Adjoint Solvers: A Data-Driven Approach / Ozan, Defne Ege; Magri, Luca. - 5:(2024), pp. 345-352. (Intervento presentato al convegno 24th International Conference on Computational Science, ICCS 2024 tenutosi a Malaga (Spain) nel July 2–4, 2024) [10.1007/978-3-031-63775-9_25]. | 1-gen-2024 | Magri, Luca + | Computational Science – ICCS 2024.pdf |
| Anomaly Detection in Optical Spectra VIA Joint Optimization / Rizzo, Antonino Maria; Magri, Luca; Invernizzi, Pietro; Sozio, Enrico; Piciaccia, Stefano; Tanzi, Alberto; Binetti, Stefano; Alippi, Cesare; Boracchi, Giacomo. - ELETTRONICO. - (2023), pp. 1-5. (Intervento presentato al convegno 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) tenutosi a Rhodes Island (Greece) nel 04-10 June 2023) [10.1109/ICASSP49357.2023.10096609]. | 1-gen-2023 | Rizzo, Antonino MariaMagri, LucaAlippi, Cesare + | Anomaly_Detection_in_Optical_Spectra_VIA_Joint_Optimization.pdf; Anomaly_Detection_in_Optical_Spectra_Via_Joint_Optimization_.pdf |
| Bayesian Optimization of the Layout of Wind Farms with a High-Fidelity Surrogate Model / Bempedelis, Nikolaos; Magri, Luca. - 4:(2023), pp. 344-352. (Intervento presentato al convegno 23rd International Conference on Computational Science, ICCS 2023 tenutosi a Prague (cze) nel July 3–5, 2023) [10.1007/978-3-031-36027-5_26]. | 1-gen-2023 | Magri, Luca + | Computational Science – ICCS 2023.pdf |
| Convolutional Autoencoder for the Spatiotemporal Latent Representation of Turbulence / Doan, Nguyen Anh Khoa; Racca, Alberto; Magri, Luca. - 14076 - 4:(2023), pp. 328-335. (Intervento presentato al convegno 23rd International Conference on Computational Science, ICCS 2023 tenutosi a Prague (cze) nel July 3–5, 2023) [10.1007/978-3-031-36027-5_24]. | 1-gen-2023 | Magri, Luca + | Computational Science – ICCS 2023.pdf |
| Data-Driven Stability Analysis of a Chaotic Time-Delayed System / Margazoglou, Georgios; Magri, Luca. - 14076 - 4:(2023), pp. 406-413. (Intervento presentato al convegno 23rd International Conference on Computational Science, ICCS 2023 tenutosi a Prague (Cze) nel July 3–5, 2023) [10.1007/978-3-031-36027-5_31]. | 1-gen-2023 | Magri, Luca + | Computational Science – ICCS 2023.pdf; 2303.03112v1.pdf |
| Event Detection in Optical Signals via Domain Adaptation / Rizzo, ANTONINO MARIA; Magri, Luca; Invernizzi, Pietro; Sozio, Enrico; Aquaro, Gabriele; Binetti, Stefano; Alippi, Cesare; Boracchi, Giacomo. - ELETTRONICO. - (2023), pp. 1435-1439. (Intervento presentato al convegno EUropean SIgnal Processing COnference (EUSIPCO) tenutosi a Helsinki (Finland) nel September 4-8, 2023) [10.23919/EUSIPCO58844.2023.10289940]. | 1-gen-2023 | Antonino Maria RizzoLuca Magri + | rizzo_eusipco2023.pdf; Event_Detection_in_Optical_Signals_via_Domain_Adaptation.pdf |
| Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos / Özalp, Elise; Margazoglou, Georgios; Magri, Luca. - 14076 - 4:(2023), pp. 382-389. (Intervento presentato al convegno 23rd International Conference on Computational Science, ICCS 2023 tenutosi a Prague (cze) nel July 3–5, 2023) [10.1007/978-3-031-36027-5_29]. | 1-gen-2023 | Magri, Luca + | Computational Science – ICCS 2023.pdf |
| Statistical Prediction of Extreme Events from Small Datasets / Racca, Alberto; Magri, Luca. - 13352 - 3:(2022), pp. 707-713. (Intervento presentato al convegno Computational Science – ICCS 2022 : 22th International Conference tenutosi a London (UK) nel June 21–23, 2022) [10.1007/978-3-031-08757-8_58]. | 1-gen-2022 | Magri, Luca + | Computational Science – ICCS 2022.pdf; 2201.08294v2.pdf |
| Automatic-differentiated Physics-Informed Echo State Network (API-ESN) / Racca, A.; Magri, L.. - 12746 - 5:(2021), pp. 323-329. (Intervento presentato al convegno Computational Science – ICCS 2021 21st International Conference tenutosi a Krakow (Pol) nel June 16–18, 2021) [10.1007/978-3-030-77977-1_25]. | 1-gen-2021 | Magri L. + | 978-3-030-77977-1_25.pdf |
| Learning Ergodic Averages in Chaotic Systems / Huhn, Francisco; Magri, Luca. - 12142 - 6:(2020), pp. 124-132. (Intervento presentato al convegno Computational Science – ICCS 2020 : 20th International Conference tenutosi a Amsterdam (Ned) nel June 3–5, 2020) [10.1007/978-3-030-50433-5_10]. | 1-gen-2020 | Magri, Luca + | 978-3-030-50433-5_10.pdf |
| Learning hidden states in a chaotic system: A physics-informed echo state network approach / Doan, N. A. K.; Polifke, W.; Magri, L.. - 12142 - 6:(2020), pp. 117-123. (Intervento presentato al convegno Computational Science – ICCS 2020 : 20th International Conference tenutosi a Amsterdam (Ned) nel June 3–5, 2020) [10.1007/978-3-030-50433-5_9]. | 1-gen-2020 | Magri L. + | 978-3-030-50433-5_9.pdf |