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Luca Magri 0001
Person information
- affiliation: Imperial College London, Department of Aeronautics, UK
- affiliation: Alan Turing Institute, UK
- affiliation: TU Munich, Institute of Advanced Study, Germany
- affiliation (PhD 2015): University of Cambridge, Engineering Department, UK
Other persons with the same name
- Luca Magri — disambiguation page
- Luca Magri 0002
— Polytechnic University of Milan, DEIB, Italy
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2020 – today
- 2026
[c18]Defne Ege Ozan
, Antonio Colanera
, Luca Magri
:
Adjoint-Based Optimization with Quantized Local Reduced-Order Models for Spatiotemporally Chaotic Systems. ICCS (Workshops 3) 2026: 128-135
[c17]Ben Eze, Luca Magri
, Andrea Nóvoa
:
Latent Attention on Masked Patches for Flow Reconstruction. ICCS (Workshops 3) 2026: 181-188
[i34]Ismaël Zighed, Andrea Nóvoa, Luca Magri, Taraneh Sayadi:
Efficient Real-Time Adaptation of ROMs for Unsteady Flows Using Data Assimilation. CoRR abs/2602.23188 (2026)
[i33]Ben Eze, Luca Magri, Andrea Nóvoa:
Latent attention on masked patches for flow reconstruction. CoRR abs/2603.02028 (2026)- 2025
[c16]Andrea Nóvoa
, Luca Magri
:
Online Model Learning with Data-Assimilated Reservoir Computers. ICCS (Workshops 4) 2025: 57-64
[c15]Defne Ege Ozan
, Andrea Nóvoa
, Luca Magri
:
Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows. ICCS (Workshops 4) 2025: 65-72
[i32]Defne E. Ozan, Andrea Nóvoa, Luca Magri:
Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows. CoRR abs/2504.16588 (2025)
[i31]Andrea Nóvoa, Luca Magri:
Online model learning with data-assimilated reservoir computers. CoRR abs/2504.16767 (2025)
[i30]Defne E. Ozan, Andrea Nóvoa, Georgios Rigas, Luca Magri:
Data-assimilated model-informed reinforcement learning. CoRR abs/2506.01755 (2025)- 2024
[c14]Defne Ege Ozan
, Luca Magri
:
Adjoint Sensitivities of Chaotic Flows Without Adjoint Solvers: A Data-Driven Approach. ICCS (5) 2024: 345-352
[i29]Daniel Kelshaw, Luca Magri:
Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations. CoRR abs/2401.10306 (2024)
[i28]Daniel Kelshaw, Luca Magri:
Computing distances and means on manifolds with a metric-constrained Eikonal approach. CoRR abs/2404.08754 (2024)
[i27]Defne E. Ozan, Luca Magri:
Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A Data-Driven Approach. CoRR abs/2404.12315 (2024)
[i26]Daniel Kelshaw, Luca Magri:
Proper Latent Decomposition. CoRR abs/2412.00785 (2024)- 2023
[c13]Antonino Maria Rizzo
, Luca Magri
, Pietro Invernizzi, Enrico Sozio, Gabriele Aquaro, Stefano Binetti, Cesare Alippi
, Giacomo Boracchi:
Event Detection in Optical Signals via Domain Adaptation. EUSIPCO 2023: 1435-1439
[c12]Antonino Maria Rizzo
, Luca Magri
, Pietro Invernizzi, Enrico Sozio, Stefano Piciaccia, Alberto Tanzi, Stefano Binetti, Cesare Alippi
, Giacomo Boracchi:
Anomaly Detection in Optical Spectra VIA Joint Optimization. ICASSP 2023: 1-5
[c11]Nguyen Anh Khoa Doan
, Alberto Racca, Luca Magri
:
Convolutional Autoencoder for the Spatiotemporal Latent Representation of Turbulence. ICCS (4) 2023: 328-335
[c10]Nikolaos Bempedelis, Luca Magri
:
Bayesian Optimization of the Layout of Wind Farms with a High-Fidelity Surrogate Model. ICCS (4) 2023: 344-352
[c9]Elise Özalp
, Georgios Margazoglou, Luca Magri
:
Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos. ICCS (4) 2023: 382-389
[c8]Georgios Margazoglou, Luca Magri
:
Data-Driven Stability Analysis of a Chaotic Time-Delayed System. ICCS (4) 2023: 406-413
[i25]Nguyen Anh Khoa Doan
, Alberto Racca, Luca Magri:
Convolutional autoencoder for the spatiotemporal latent representation of turbulence. CoRR abs/2301.13728 (2023)
[i24]Elise Özalp, Georgios Margazoglou, Luca Magri
:
Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos. CoRR abs/2302.10779 (2023)
[i23]Elise Özalp, Georgios Margazoglou, Luca Magri
:
Reconstruction, forecasting, and stability of chaotic dynamics from partial data. CoRR abs/2305.15111 (2023)
[i22]Daniel Kelshaw, Luca Magri
:
Short and Straight: Geodesics on Differentiable Manifolds. CoRR abs/2305.15228 (2023)
[i21]Tullio Traverso, Francesco Coletti, Luca Magri
, Tassos G. Karayiannis, Omar K. Matar:
A machine learning approach to the prediction of heat-transfer coefficients in micro-channels. CoRR abs/2305.18406 (2023)
[i20]Daniel Kelshaw, Luca Magri
:
Uncovering solutions from data corrupted by systematic errors: A physics-constrained convolutional neural network approach. CoRR abs/2306.04600 (2023)
[i19]Daniel Kelshaw, Luca Magri
:
Super-resolving sparse observations in partial differential equations: A physics-constrained convolutional neural network approach. CoRR abs/2306.10990 (2023)
[i18]Alberto Racca, Luca Magri:
Control-aware echo state networks (Ca-ESN) for the suppression of extreme events. CoRR abs/2308.03095 (2023)
[i17]Daniel Kelshaw, Luca Magri:
Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds. CoRR abs/2310.06157 (2023)- 2022
[c7]Alberto Racca
, Luca Magri
:
Statistical Prediction of Extreme Events from Small Datasets. ICCS (3) 2022: 707-713
[i16]Alberto Racca, Luca Magri:
Statistical prediction of extreme events from small datasets. CoRR abs/2201.08294 (2022)
[i15]Alberto Racca, Luca Magri
:
Data-driven prediction and control of extreme events in a chaotic flow. CoRR abs/2204.11682 (2022)
[i14]Daniel Kelshaw, Luca Magri
:
Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems. CoRR abs/2210.16215 (2022)
[i13]Daniel Kelshaw, Georgios Rigas
, Luca Magri
:
Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems. CoRR abs/2210.17319 (2022)
[i12]Luca Magri, Nguyen Anh Khoa Doan:
On interpretability and proper latent decomposition of autoencoders. CoRR abs/2211.08345 (2022)
[i11]Alberto Racca, Nguyen Anh Khoa Doan
, Luca Magri
:
Modelling spatiotemporal turbulent dynamics with the convolutional autoencoder echo state network. CoRR abs/2211.11379 (2022)- 2021
[j7]Alberto Racca
, Luca Magri
:
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics. Neural Networks 142: 252-268 (2021)
[c6]Alberto Racca
, Luca Magri
:
Automatic-differentiated Physics-Informed Echo State Network (API-ESN). ICCS (5) 2021: 323-329
[c5]Nguyen Anh Khoa Doan
, Wolfgang Polifke, Luca Magri:
Auto-Encoded Reservoir Computing for Turbulence Learning. ICCS (5) 2021: 344-351
[i10]Alberto Racca, Luca Magri:
Automatic-differentiated Physics-Informed Echo State Network (API-ESN). CoRR abs/2101.00002 (2021)
[i9]Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri:
Short- and long-term prediction of a chaotic flow: A physics-constrained reservoir computing approach. CoRR abs/2102.07514 (2021)
[i8]Alberto Racca, Luca Magri:
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics. CoRR abs/2103.03174 (2021)
[i7]Andrea Nóvoa, Luca Magri:
Real-time thermoacoustic data assimilation. CoRR abs/2106.06409 (2021)- 2020
[j6]Nguyen Anh Khoa Doan
, Wolfgang Polifke
, Luca Magri:
Physics-informed echo state networks. J. Comput. Sci. 47: 101237 (2020)
[c4]Nguyen Anh Khoa Doan
, Wolfgang Polifke
, Luca Magri
:
Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach. ICCS (6) 2020: 117-123
[c3]Francisco Huhn, Luca Magri
:
Learning Ergodic Averages in Chaotic Systems. ICCS (6) 2020: 124-132
[i6]Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri:
Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach. CoRR abs/2001.02982 (2020)
[i5]Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri:
Physics-Informed Echo State Networks. CoRR abs/2011.02280 (2020)
[i4]Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri:
Auto-Encoded Reservoir Computing for Turbulence Learning. CoRR abs/2012.10968 (2020)
2010 – 2019
- 2019
[j5]Luca Magri
:
Adjoint characteristic decomposition of one-dimensional waves. J. Comput. Phys. 388: 454-461 (2019)
[j4]Hans Yu
, Matthew P. Juniper, Luca Magri
:
Combined state and parameter estimation in level-set methods. J. Comput. Phys. 399 (2019)
[c2]Tullio Traverso
, Luca Magri
:
Data Assimilation in a Nonlinear Time-Delayed Dynamical System with Lagrangian Optimization. ICCS (4) 2019: 156-168
[c1]Nguyen Anh Khoa Doan
, Wolfgang Polifke
, Luca Magri
:
Physics-Informed Echo State Networks for Chaotic Systems Forecasting. ICCS (4) 2019: 192-198
[i3]Hans Yu, Matthew P. Juniper, Luca Magri:
Combined State and Parameter Estimation in Level-Set Methods. CoRR abs/1903.00321 (2019)
[i2]Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri:
Physics-Informed Echo State Networks for Chaotic Systems Forecasting. CoRR abs/1906.11122 (2019)
[i1]Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri:
A physics-aware machine to predict extreme events in turbulence. CoRR abs/1912.10994 (2019)- 2017
[j3]José G. Aguilar
, Luca Magri
, Matthew P. Juniper
:
Adjoint-based sensitivity analysis of low-order thermoacoustic networks using a wave-based approach. J. Comput. Phys. 341: 163-181 (2017)- 2016
[j2]Luca Magri
, Michael Bauerheim, Matthew P. Juniper
:
Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part I. Sensitivity. J. Comput. Phys. 325: 395-410 (2016)
[j1]Luca Magri
, Michael Bauerheim, Franck Nicoud
, Matthew P. Juniper
:
Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part II. Uncertainty quantification. J. Comput. Phys. 325: 411-421 (2016)
Coauthor Index

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last updated on 2026-07-20 01:29 CEST by the dblp team
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