Uncalibrated View Synthesis with Homography Interpolation. - Pasqualina Fragneto; Andrea Fusiello; Beatrice Rossi; Luca Magri; Matteo Ruffini (3DIMPVT, 2012)

Robust Absolute Rotation Estimation via Low-Rank and Sparse Matrix Decomposition. - Federica Arrigoni; Luca Magri; Beatrice Rossi; Pasqualina Fragneto; Andrea Fusiello (3DV, 2014)

T-Linkage: A Continuous Relaxation of J-Linkage for Multi-model Fitting. - Luca Magri; Andrea Fusiello (CVPR, 2014)

Robust Multiple Model Fitting with Preference Analysis and Low-rank Approximation. - Luca Magri; Andrea Fusiello (BMVC, 2015)

Scale Estimation in Multiple Models Fitting via Consensus Clustering. - Luca Magri; Andrea Fusiello (CAIP (2), 2015)

J-DFA: A Novel Approach for Robust Differential Fault Analysis. - Luca Magri; Silvia Mella; Pasqualina Fragneto; Filippo Melzani; Beatrice Rossi (FDTC, 2015)

Fitting Multiple Models via Density Analysis in Tanimoto Space. - Luca Magri; Andrea Fusiello (ICIAP (1), 2015)

Multiple Models Fitting as a Set Coverage Problem. - Luca Magri; Andrea Fusiello (CVPR, 2016)

Multiple Structure Recovery via Probabilistic Biclustering. - Matteo Denitto; Luca Magri; Alessandro Farinelli; Andrea Fusiello; Manuele Bicego (S+SSPR, 2016)

Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part I. Sensitivity. - Luca Magri; Michael Bauerheim; Matthew P. Juniper (J. Comput. Phys., 2016)

Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part II. Uncertainty quantification. - Luca Magri; Michael Bauerheim; Franck Nicoud; Matthew P. Juniper (J. Comput. Phys., 2016)

A Matrix Decomposition Perspective on Calibrated Photometric Stereo. - Luca Magri; Roberto Toldo; Umberto Castellani; Andrea Fusiello (ICIAP (1), 2017)

Multiple structure recovery via robust preference analysis. - Luca Magri; Andrea Fusiello (Image Vis. Comput., 2017)

Adjoint-based sensitivity analysis of low-order thermoacoustic networks using a wave-based approach. - José G. Aguilar; Luca Magri; Matthew P. Juniper (J. Comput. Phys., 2017)

Multiple structure recovery with T-linkage. - Luca Magri; Andrea Fusiello (J. Vis. Commun. Image Represent., 2017)

Reconstruction of Interior Walls from Point Cloud Data with Min-Hashed J-Linkage. - Luca Magri; Andrea Fusiello (3DV, 2018)

Multiple structure recovery with maximum coverage. - Luca Magri; Andrea Fusiello (Mach. Vis. Appl., 2018)

Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage. - Luca Magri; Andrea Fusiello (CVPR, 2019)

Physics-Informed Echo State Networks for Chaotic Systems Forecasting. - Nguyen Anh Khoa Doan; Wolfgang Polifke; Luca Magri (ICCS (4), 2019)

Data Assimilation in a Nonlinear Time-Delayed Dynamical System with Lagrangian Optimization. - Tullio Traverso; Luca Magri (ICCS (4), 2019)

Data assimilation in a nonlinear time-delayed dynamical system. - Tullio Traverso; Luca Magri (CoRR, 2019)

A physics-aware machine to predict extreme events in turbulence. - Nguyen Anh Khoa Doan; Wolfgang Polifke; Luca Magri (CoRR, 2019)

Adjoint characteristic decomposition of one-dimensional waves. - Luca Magri (J. Comput. Phys., 2019)

Combined state and parameter estimation in level-set methods. - Hans Yu; Matthew P. Juniper; Luca Magri (J. Comput. Phys., 2019)

Critical Loci for Two Views Reconstruction as Quadratic Transformations Between Images. - Marina Bertolini; Luca Magri; Cristina Turrini (J. Math. Imaging Vis., 2019)

On the Usage of the Trifocal Tensor in Motion Segmentation. - Federica Arrigoni; Luca Magri; Tomás Pajdla (ECCV (20), 2020)

Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach. - Nguyen Anh Khoa Doan; Wolfgang Polifke; Luca Magri (ICCS (6), 2020)

Learning Ergodic Averages in Chaotic Systems. - Francisco Huhn; Luca Magri (ICCS (6), 2020)

Motion Segmentation with Pairwise Matches and Unknown Number of Motions. - Federica Arrigoni; Luca Magri; Tomás Pajdla (ICPR, 2020)

PIF: Anomaly detection via preference embedding. - Filippo Leveni; Luca Magri; Giacomo Boracchi; Cesare Alippi (ICPR, 2020)

Physics-informed echo state networks. - Nguyen Anh Khoa Doan; Wolfgang Polifke; Luca Magri (J. Comput. Sci., 2020)

MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection. - Luca Magri; Filippo Leveni; Giacomo Boracchi (CVPR, 2021)

Auto-Encoded Reservoir Computing for Turbulence Learning. - Nguyen Anh Khoa Doan; Wolfgang Polifke; Luca Magri (ICCS (5), 2021)

Automatic-differentiated Physics-Informed Echo State Network (API-ESN). - Alberto Racca; Luca Magri (ICCS (5), 2021)

Synchronization of Group-labelled Multi-graphs. - Andrea Porfiri Dal Cin; Luca Magri; Federica Arrigoni; Andrea Fusiello; Giacomo Boracchi (ICCV, 2021)

Short- and long-term prediction of a chaotic flow: A physics-constrained reservoir computing approach. - Nguyen Anh Khoa Doan; Wolfgang Polifke; Luca Magri (CoRR, 2021)

Real-time thermoacoustic data assimilation. - Andrea Nóvoa; Luca Magri (CoRR, 2021)

Gradient-free optimization of chaotic acoustics with reservoir computing. - Francisco Huhn; Luca Magri (CoRR, 2021)

Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics. - Alberto Racca; Luca Magri (Neural Networks, 2021)

Multi-body Self-Calibration. - Andrea Porfiri Dal Cin; Giacomo Boracchi; Luca Magri (BMVC, 2022)

Statistical Prediction of Extreme Events from Small Datasets. - Alberto Racca; Luca Magri (ICCS (3), 2022)

Data-driven prediction and control of extreme events in a chaotic flow. - Alberto Racca; Luca Magri (CoRR, 2022)

A Physics-based Domain Adaptation framework for modelling and forecasting building energy systems. - Zack Xuereb Conti; Ruchi Choudhary; Luca Magri (CoRR, 2022)

Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems. - Daniel Kelshaw; Luca Magri (CoRR, 2022)

Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems. - Daniel Kelshaw; Georgios Rigas; Luca Magri (CoRR, 2022)

On interpretability and proper latent decomposition of autoencoders. - Luca Magri; Nguyen Anh Khoa Doan (CoRR, 2022)

Modelling spatiotemporal turbulent dynamics with the convolutional autoencoder echo state network. - Alberto Racca; Nguyen Anh Khoa Doan; Luca Magri (CoRR, 2022)

Special issue on deep learning modeling in real life: anomaly detection, biomedical, concept analysis, finance, image analysis, recommendation. - Lazaros Iliadis 001; Luca Magri (Neural Comput. Appl., 2022)

Known and unknown event detection in OTDR traces by deep learning networks. - Antonino Maria Rizzo; Luca Magri; Davide Rutigliano; Pietro Invernizzi; Enrico Sozio; Cesare Alippi; Stefano Binetti; Giacomo Boracchi (Neural Comput. Appl., 2022)

Quantum Multi-Model Fitting. - Matteo Farina; Luca Magri; Willi Menapace; Elisa Ricci 001; Vladislav Golyanik; Federica Arrigoni (CVPR, 2023)

Event Detection in Optical Signals via Domain Adaptation. - Antonino Maria Rizzo; Luca Magri; Pietro Invernizzi; Enrico Sozio; Gabriele Aquaro; Stefano Binetti; Cesare Alippi; Giacomo Boracchi (EUSIPCO, 2023)

Anomaly Detection in Optical Spectra VIA Joint Optimization. - Antonino Maria Rizzo; Luca Magri; Pietro Invernizzi; Enrico Sozio; Stefano Piciaccia; Alberto Tanzi; Stefano Binetti; Cesare Alippi; Giacomo Boracchi (ICASSP, 2023)

Bayesian Optimization of the Layout of Wind Farms with a High-Fidelity Surrogate Model. - Nikolaos Bempedelis; Luca Magri (ICCS (4), 2023)

Convolutional Autoencoder for the Spatiotemporal Latent Representation of Turbulence. - Nguyen Anh Khoa Doan; Alberto Racca; Luca Magri (ICCS (4), 2023)

Data-Driven Stability Analysis of a Chaotic Time-Delayed System. - Georgios Margazoglou; Luca Magri (ICCS (4), 2023)

Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos. - Elise Özalp; Georgios Margazoglou; Luca Magri (ICCS (4), 2023)

Multi-body Depth and Camera Pose Estimation from Multiple Views. - Andrea Porfiri Dal Cin; Giacomo Boracchi; Luca Magri (ICCV, 2023)

Hashing for Structure-Based Anomaly Detection. - Filippo Leveni; Luca Magri; Cesare Alippi; Giacomo Boracchi (ICIAP (2), 2023)

Reconstruction, forecasting, and stability of chaotic dynamics from partial data. - Elise Özalp; Georgios Margazoglou; Luca Magri (CoRR, 2023)

Short and Straight: Geodesics on Differentiable Manifolds. - Daniel Kelshaw; Luca Magri (CoRR, 2023)

A machine learning approach to the prediction of heat-transfer coefficients in micro-channels. - Tullio Traverso; Francesco Coletti; Luca Magri; Tassos G. Karayiannis; Omar K. Matar (CoRR, 2023)

Uncovering solutions from data corrupted by systematic errors: A physics-constrained convolutional neural network approach. - Daniel Kelshaw; Luca Magri (CoRR, 2023)

Super-resolving sparse observations in partial differential equations: A physics-constrained convolutional neural network approach. - Daniel Kelshaw; Luca Magri (CoRR, 2023)

Control-aware echo state networks (Ca-ESN) for the suppression of extreme events. - Alberto Racca; Luca Magri (CoRR, 2023)

Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds. - Daniel Kelshaw; Luca Magri (CoRR, 2023)

Multimodal Batch-Wise Change Detection. - Diego Stucchi; Luca Magri; Diego Carrera; Giacomo Boracchi (IEEE Trans. Neural Networks Learn. Syst., 2023)

Minimal Perspective Autocalibration. - Andrea Porfiri Dal Cin; Timothy Duff; Luca Magri; Tomás Pajdla (CVPR, 2024)

Revisiting Calibration of Wide-Angle Radially Symmetric Cameras. - Andrea Porfiri Dal Cin; Francesco Azzoni; Giacomo Boracchi; Luca Magri (ECCV (36), 2024)

Temporal-Consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting. - Andrea Marelli; Luca Magri; Federica Arrigoni; Giacomo Boracchi (ECCV Workshops (4), 2024)

A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object Detection. - Carlo Sgaravatti; Roberto Basla; Riccardo Pieroni; Matteo Corno; Sergio M. Savaresi; Luca Magri; Giacomo Boracchi (ECCV Workshops (7), 2024)

Adjoint Sensitivities of Chaotic Flows Without Adjoint Solvers: A Data-Driven Approach. - Defne Ege Ozan; Luca Magri (ICCS (5), 2024)

Enhancing Manufacturing with AI-powered Process Design. - Gianmarco Genalti; Gabriele Corbo; Tommaso Bianchi; Marco Missaglia; Luca Negri; Andrea Sala; Luca Magri; Giacomo Boracchi; Giovanni Miragliotta; Nicola Gatti 001 (IJCAI, 2024)

An Expert-Driven Data Generation Pipeline for Histological Images. - Roberto Basla; Loris Giulivi; Luca Magri; Giacomo Boracchi (ISBI, 2024)

Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations. - Daniel Kelshaw; Luca Magri (CoRR, 2024)

Computing distances and means on manifolds with a metric-constrained Eikonal approach. - Daniel Kelshaw; Luca Magri (CoRR, 2024)

Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental Data. - Yaxin Mo; Tullio Traverso; Luca Magri (CoRR, 2024)

Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network. - Yaxin Mo; Luca Magri (CoRR, 2024)

Stability analysis of chaotic systems in latent spaces. - Elise Özalp; Luca Magri (CoRR, 2024)

Inferring stability properties of chaotic systems on autoencoders' latent spaces. - Elise Özalp; Luca Magri (CoRR, 2024)

Proper Latent Decomposition. - Daniel Kelshaw; Luca Magri (CoRR, 2024)

Ensemble clustering via synchronized relabelling. - Michele Alziati; Fiore Amarù; Luca Magri; Federica Arrigoni (Pattern Recognit. Lett., 2024)

Outlier-Robust Multi-Model Fitting on Quantum Annealers. - Saurabh Pandey; Luca Magri; Federica Arrigoni; Vladislav Golyanik (CVPR Workshops, 2025)

Online Model Learning with Data-Assimilated Reservoir Computers. - Andrea Nóvoa; Luca Magri (ICCS (Workshops 4), 2025)

Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows. - Defne Ege Ozan; Andrea Nóvoa; Luca Magri (ICCS (Workshops 4), 2025)

Preference Isolation Forest for Structure-based Anomaly Detection. - Filippo Leveni; Luca Magri; Cesare Alippi; Giacomo Boracchi (CoRR, 2025)

Data-assimilated model-informed reinforcement learning. - Defne E. Ozan; Andrea Nóvoa; Georgios Rigas; Luca Magri (CoRR, 2025)

Robust quantum reservoir computers for forecasting chaotic dynamics: generalized synchronization and stability. - Osama Ahmed; Felix Tennie; Luca Magri (CoRR, 2025)

Optimal training of finitely sampled quantum reservoir computers for forecasting of chaotic dynamics. - Osama Ahmed; Felix Tennie; Luca Magri (Quantum Mach. Intell., 2025)