Luca Magri

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 79

Top Topics

Anomaly Detection

Echo State Networks

Convolutional Neural Networks

Top Venues

J. Comput. Phys.

Publications

Daniel Kelshaw, Luca Magri
Computing distances and means on manifolds with a metric-constrained Eikonal approach. CoRR (2024)
Defne Ege Ozan, Luca Magri
Adjoint Sensitivities of Chaotic Flows Without Adjoint Solvers: A Data-Driven Approach. ICCS (5) (2024)
Daniel Kelshaw, Luca Magri
Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations. CoRR (2024)
Michele Alziati, Fiore Amarù, Luca Magri, Federica Arrigoni
Ensemble clustering via synchronized relabelling. Pattern Recognit. Lett. 184 (2024)
Andrea Porfiri Dal Cin, Timothy Duff, Luca Magri, Tomás Pajdla
Minimal Perspective Autocalibration. CoRR (2024)
Yaxin Mo, Tullio Traverso, Luca Magri
Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental Data. CoRR (2024)
Roberto Basla, Loris Giulivi, Luca Magri, Giacomo Boracchi
An expert-driven data generation pipeline for histological images. CoRR (2024)
Defne E. Ozan, Luca Magri
Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A Data-Driven Approach. CoRR (2024)
Georgios Margazoglou, Luca Magri
Data-Driven Stability Analysis of a Chaotic Time-Delayed System. ICCS (4) (2023)
Elise Özalp, Georgios Margazoglou, Luca Magri
Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos. CoRR (2023)
Daniel Kelshaw, Luca Magri
Short and Straight: Geodesics on Differentiable Manifolds. CoRR (2023)
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)
Matteo Farina, Luca Magri, Willi Menapace, Elisa Ricci, Vladislav Golyanik, Federica Arrigoni
Quantum Multi-Model Fitting. CVPR (2023)
Daniel Kelshaw, Luca Magri
Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds. CoRR (2023)
Daniel Kelshaw, Luca Magri
Uncovering solutions from data corrupted by systematic errors: A physics-constrained convolutional neural network approach. CoRR (2023)
Andrea Porfiri Dal Cin, Giacomo Boracchi, Luca Magri
Multi-body Depth and Camera Pose Estimation from Multiple Views. ICCV (2023)
Elise Özalp, Georgios Margazoglou, Luca Magri
Reconstruction, forecasting, and stability of chaotic dynamics from partial data. CoRR (2023)
Daniel Kelshaw, Luca Magri
Super-resolving sparse observations in partial differential equations: A physics-constrained convolutional neural network approach. CoRR (2023)
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 (2023)
Matteo Farina, Luca Magri, Willi Menapace, Elisa Ricci, Vladislav Golyanik, Federica Arrigoni
Quantum Multi-Model Fitting. CoRR (2023)
Elise Özalp, Georgios Margazoglou, Luca Magri
Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos. ICCS (4) (2023)
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)
Nguyen Anh Khoa Doan, Alberto Racca, Luca Magri
Convolutional autoencoder for the spatiotemporal latent representation of turbulence. CoRR (2023)
Filippo Leveni, Luca Magri, Cesare Alippi, Giacomo Boracchi
Hashing for Structure-Based Anomaly Detection. ICIAP (2) (2023)
Alberto Racca, Luca Magri
Control-aware echo state networks (Ca-ESN) for the suppression of extreme events. CoRR (2023)
Nikolaos Bempedelis, Luca Magri
Bayesian Optimization of the Layout of Wind Farms with a High-Fidelity Surrogate Model. ICCS (4) (2023)
Nguyen Anh Khoa Doan, Alberto Racca, Luca Magri
Convolutional Autoencoder for the Spatiotemporal Latent Representation of Turbulence. ICCS (4) (2023)
Diego Stucchi, Luca Magri, Diego Carrera, Giacomo Boracchi
Multimodal Batch-Wise Change Detection. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Zack Xuereb Conti, Ruchi Choudhary, Luca Magri
A Physics-based Domain Adaptation framework for modelling and forecasting building energy systems. CoRR (2022)
Alberto Racca, Luca Magri
Data-driven prediction and control of extreme events in a chaotic flow. CoRR (2022)
Daniel Kelshaw, Luca Magri
Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems. CoRR (2022)
Andrea Porfiri Dal Cin, Giacomo Boracchi, Luca Magri
Multi-body Self-Calibration. BMVC (2022)
Lazaros Iliadis, Luca Magri
Special issue on deep learning modeling in real life: anomaly detection, biomedical, concept analysis, finance, image analysis, recommendation. Neural Comput. Appl. 34 (22) (2022)
Daniel Kelshaw, Georgios Rigas, Luca Magri
Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems. CoRR (2022)
Antonino Maria Rizzo, Luca Magri, Davide Rutigliano, Pietro Invernizzi, Enrico Sozio, Cesare Alippi, Stefano Binetti, Giacomo Boracchi
Known and unknown event detection in OTDR traces by deep learning networks. Neural Comput. Appl. 34 (22) (2022)
Alberto Racca, Luca Magri
Statistical prediction of extreme events from small datasets. CoRR (2022)
Alberto Racca, Nguyen Anh Khoa Doan, Luca Magri
Modelling spatiotemporal turbulent dynamics with the convolutional autoencoder echo state network. CoRR (2022)
Luca Magri, Nguyen Anh Khoa Doan
On interpretability and proper latent decomposition of autoencoders. CoRR (2022)
Alberto Racca, Luca Magri
Statistical Prediction of Extreme Events from Small Datasets. ICCS (3) (2022)
Andrea Porfiri Dal Cin, Luca Magri, Federica Arrigoni, Andrea Fusiello, Giacomo Boracchi
Synchronization of Group-labelled Multi-graphs. ICCV (2021)
Alberto Racca, Luca Magri
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics. CoRR (2021)
Alberto Racca, Luca Magri
Automatic-differentiated Physics-Informed Echo State Network (API-ESN). ICCS (5) (2021)
Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
Short- and long-term prediction of a chaotic flow: A physics-constrained reservoir computing approach. CoRR (2021)
Alberto Racca, Luca Magri
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics. Neural Networks 142 (2021)
Francisco Huhn, Luca Magri
Gradient-free optimization of chaotic acoustics with reservoir computing. CoRR (2021)
Luca Magri, Filippo Leveni, Giacomo Boracchi
MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection. CVPR (2021)
Andrea Nóvoa, Luca Magri
Real-time thermoacoustic data assimilation. CoRR (2021)
Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
Auto-Encoded Reservoir Computing for Turbulence Learning. ICCS (5) (2021)
Alberto Racca, Luca Magri
Automatic-differentiated Physics-Informed Echo State Network (API-ESN). CoRR (2021)
Federica Arrigoni, Luca Magri, Tomás Pajdla
On the Usage of the Trifocal Tensor in Motion Segmentation. ECCV (20) (2020)
Federica Arrigoni, Luca Magri, Tomás Pajdla
Motion Segmentation with Pairwise Matches and Unknown Number of Motions. ICPR (2020)
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)
Francisco Huhn, Luca Magri
Learning Ergodic Averages in Chaotic Systems. ICCS (6) (2020)
Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
Physics-informed echo state networks. J. Comput. Sci. 47 (2020)
Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach. CoRR (2020)
Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
Auto-Encoded Reservoir Computing for Turbulence Learning. CoRR (2020)
Francisco Huhn, Luca Magri
Learning ergodic averages in chaotic systems. CoRR (2020)
Filippo Leveni, Luca Magri, Giacomo Boracchi, Cesare Alippi
PIF: Anomaly detection via preference embedding. ICPR (2020)
Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
Physics-Informed Echo State Networks. CoRR (2020)
Tullio Traverso, Luca Magri
Data assimilation in a nonlinear time-delayed dynamical system. CoRR (2019)
Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
Physics-Informed Echo State Networks for Chaotic Systems Forecasting. ICCS (4) (2019)
Luca Magri, Andrea Fusiello
Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage. CVPR (2019)
Tullio Traverso, Luca Magri
Data Assimilation in a Nonlinear Time-Delayed Dynamical System with Lagrangian Optimization. ICCS (4) (2019)
Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
A physics-aware machine to predict extreme events in turbulence. CoRR (2019)
Marina Bertolini, Luca Magri, Cristina Turrini
Critical Loci for Two Views Reconstruction as Quadratic Transformations Between Images. J. Math. Imaging Vis. 61 (9) (2019)
Hans Yu, Matthew P. Juniper, Luca Magri
Combined state and parameter estimation in level-set methods. J. Comput. Phys. 399 (2019)
Hans Yu, Matthew P. Juniper, Luca Magri
Combined State and Parameter Estimation in Level-Set Methods. CoRR (2019)
Luca Magri
Adjoint characteristic decomposition of one-dimensional waves. J. Comput. Phys. 388 (2019)
Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
Physics-Informed Echo State Networks for Chaotic Systems Forecasting. CoRR (2019)
Luca Magri, Andrea Fusiello
Multiple structure recovery with maximum coverage. Mach. Vis. Appl. 29 (1) (2018)
Luca Magri, Andrea Fusiello
Reconstruction of Interior Walls from Point Cloud Data with Min-Hashed J-Linkage. 3DV (2018)
Luca Magri, Roberto Toldo, Umberto Castellani, Andrea Fusiello
A Matrix Decomposition Perspective on Calibrated Photometric Stereo. ICIAP (1) (2017)
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 (2017)
Luca Magri, Andrea Fusiello
Multiple structure recovery via robust preference analysis. Image Vis. Comput. 67 (2017)
Luca Magri, Andrea Fusiello
Multiple structure recovery with T-linkage. J. Vis. Commun. Image Represent. 49 (2017)
Matteo Denitto, Luca Magri, Alessandro Farinelli, Andrea Fusiello, Manuele Bicego
Multiple Structure Recovery via Probabilistic Biclustering. S+SSPR (2016)
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 (2016)
Luca Magri, Andrea Fusiello
Multiple Models Fitting as a Set Coverage Problem. CVPR (2016)
Luca Magri, Michael Bauerheim, Matthew P. Juniper
Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part I. Sensitivity. J. Comput. Phys. 325 (2016)
Luca Magri, Andrea Fusiello
Fitting Multiple Models via Density Analysis in Tanimoto Space. ICIAP (1) (2015)
Luca Magri, Andrea Fusiello
Robust Multiple Model Fitting with Preference Analysis and Low-rank Approximation. BMVC (2015)
Luca Magri, Andrea Fusiello
Scale Estimation in Multiple Models Fitting via Consensus Clustering. CAIP (2) (2015)
Luca Magri, Silvia Mella, Pasqualina Fragneto, Filippo Melzani, Beatrice Rossi
J-DFA: A Novel Approach for Robust Differential Fault Analysis. FDTC (2015)
Luca Magri, Andrea Fusiello
T-Linkage: A Continuous Relaxation of J-Linkage for Multi-model Fitting. CVPR (2014)
Federica Arrigoni, Luca Magri, Beatrice Rossi, Pasqualina Fragneto, Andrea Fusiello
Robust Absolute Rotation Estimation via Low-Rank and Sparse Matrix Decomposition. 3DV (2014)
Pasqualina Fragneto, Andrea Fusiello, Beatrice Rossi, Luca Magri, Matteo Ruffini
Uncalibrated View Synthesis with Homography Interpolation. 3DIMPVT (2012)