Luca Magri - RankMe

118 papers A* 9A 2B 2C 1Misc 1Journal 74Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Real-Time Adaptation of ROMs for Unsteady Flows Using Data Assimilation. CoRR Ismaël Zighed, Andrea Nóvoa, Luca Magri, Taraneh Sayadi
2026	J	`jnl`	LCF3D: A Robust and Real-Time Late-Cascade Fusion Framework for 3D Object Detection in Autonomous Driving. CoRR Carlo Sgaravatti, Riccardo Pieroni, Matteo Corno, Sergio M. Savaresi, Luca Magri, Giacomo Boracchi
2026	J	`jnl`	LCF3D: A robust and real-time late-cascade fusion framework for 3D object detection in autonomous driving. Pattern Recognit. Carlo Sgaravatti, Riccardo Pieroni, Matteo Corno, Sergio M. Savaresi, Luca Magri, Giacomo Boracchi
2026	J	`jnl`	Latent attention on masked patches for flow reconstruction. CoRR Ben Eze, Luca Magri, Andrea Nóvoa
2026	J	`jnl`	Preference isolation forest for structure-based anomaly detection. Pattern Recognit. Filippo Leveni, Luca Magri, Cesare Alippi, Giacomo Boracchi
2025	J	`jnl`	A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object Detection. CoRR Carlo Sgaravatti, Roberto Basla, Riccardo Pieroni, Matteo Corno, Sergio M. Savaresi, Luca Magri, Giacomo Boracchi
2025	—	`conf`	Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows. ICCS (Workshops 4) Defne Ege Ozan, Andrea Nóvoa, Luca Magri
2025	J	`jnl`	Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows. CoRR Defne E. Ozan, Andrea Nóvoa, Luca Magri
2025	J	`jnl`	Data-assimilated model-informed reinforcement learning. CoRR Defne E. Ozan, Andrea Nóvoa, Georgios Rigas, Luca Magri
2025	J	`jnl`	Hashing for Structure-based Anomaly Detection. CoRR Filippo Leveni, Luca Magri, Cesare Alippi, Giacomo Boracchi
2025	J	`jnl`	MultiLink: Multi-class Structure Recovery via Agglomerative Clustering and Model Selection. CoRR Luca Magri, Filippo Leveni, Giacomo Boracchi
2025	J	`jnl`	One target to align them all: LiDAR, RGB and event cameras extrinsic calibration for Autonomous Driving. CoRR Andrea Bertogalli, Giacomo Boracchi, Luca Magri
2025	—	`conf`	Online Model Learning with Data-Assimilated Reservoir Computers. ICCS (Workshops 4) Andrea Nóvoa, Luca Magri
2025	J	`jnl`	Online model learning with data-assimilated reservoir computers. CoRR Andrea Nóvoa, Luca Magri
2025	J	`jnl`	Optimal training of finitely sampled quantum reservoir computers for forecasting of chaotic dynamics. Quantum Mach. Intell. Osama Ahmed, Felix Tennie, Luca Magri
2025	—	`conf`	Outlier-Robust Multi-Model Fitting on Quantum Annealers. CVPR Workshops Saurabh Pandey, Luca Magri, Federica Arrigoni, Vladislav Golyanik
2025	J	`jnl`	Outlier-Robust Multi-Model Fitting on Quantum Annealers. CoRR Saurabh Pandey, Luca Magri, Federica Arrigoni, Vladislav Golyanik
2025	J	`jnl`	PIF: Anomaly detection via preference embedding. CoRR Filippo Leveni, Luca Magri, Giacomo Boracchi, Cesare Alippi
2025	J	`jnl`	Preference Isolation Forest for Structure-based Anomaly Detection. CoRR Filippo Leveni, Luca Magri, Cesare Alippi, Giacomo Boracchi
2025	J	`jnl`	Robust quantum reservoir computers for forecasting chaotic dynamics: generalized synchronization and stability. CoRR Osama Ahmed, Felix Tennie, Luca Magri
2025	J	`jnl`	Temporal-consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting. CoRR Andrea Marelli, Luca Magri, Federica Arrigoni, Giacomo Boracchi
2024	—	`conf`	A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object Detection. ECCV Workshops (7) Carlo Sgaravatti, Roberto Basla, Riccardo Pieroni, Matteo Corno, Sergio M. Savaresi, Luca Magri, Giacomo Boracchi
2024	—	`conf`	Adjoint Sensitivities of Chaotic Flows Without Adjoint Solvers: A Data-Driven Approach. ICCS (5) Defne Ege Ozan, Luca Magri
2024	J	`jnl`	Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A Data-Driven Approach. CoRR Defne E. Ozan, Luca Magri
2024	—	`conf`	An Expert-Driven Data Generation Pipeline for Histological Images. ISBI Roberto Basla, Loris Giulivi, Luca Magri, Giacomo Boracchi
2024	J	`jnl`	An expert-driven data generation pipeline for histological images. CoRR Roberto Basla, Loris Giulivi, Luca Magri, Giacomo Boracchi
2024	J	`jnl`	Computing distances and means on manifolds with a metric-constrained Eikonal approach. CoRR Daniel Kelshaw, Luca Magri
2024	J	`jnl`	Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental Data. CoRR Yaxin Mo, Tullio Traverso, Luca Magri
2024	A*	`conf`	Enhancing Manufacturing with AI-powered Process Design. IJCAI Gianmarco Genalti, Gabriele Corbo, Tommaso Bianchi, Marco Missaglia, Luca Negri, Andrea Sala, Luca Magri, Giacomo Boracchi, Giovanni Miragliotta, Nicola Gatti
2024	J	`jnl`	Ensemble clustering via synchronized relabelling. Pattern Recognit. Lett. Michele Alziati, Fiore Amarù, Luca Magri, Federica Arrigoni
2024	J	`jnl`	Inferring stability properties of chaotic systems on autoencoders' latent spaces. CoRR Elise Özalp, Luca Magri
2024	A*	`conf`	Minimal Perspective Autocalibration. CVPR Andrea Porfiri Dal Cin, Timothy Duff, Luca Magri, Tomás Pajdla
2024	J	`jnl`	Minimal Perspective Autocalibration. CoRR Andrea Porfiri Dal Cin, Timothy Duff, Luca Magri, Tomás Pajdla
2024	J	`jnl`	Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics. CoRR Osama Ahmed, Felix Tennie, Luca Magri
2024	J	`jnl`	Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations. CoRR Daniel Kelshaw, Luca Magri
2024	J	`jnl`	Proper Latent Decomposition. CoRR Daniel Kelshaw, Luca Magri
2024	J	`jnl`	Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network. CoRR Yaxin Mo, Luca Magri
2024	—	`conf`	Revisiting Calibration of Wide-Angle Radially Symmetric Cameras. ECCV (36) Andrea Porfiri Dal Cin, Francesco Azzoni, Giacomo Boracchi, Luca Magri
2024	J	`jnl`	Stability analysis of chaotic systems in latent spaces. CoRR Elise Özalp, Luca Magri
2024	—	`conf`	Temporal-Consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting. ECCV Workshops (4) Andrea Marelli, Luca Magri, Federica Arrigoni, Giacomo Boracchi
2023	J	`jnl`	A machine learning approach to the prediction of heat-transfer coefficients in micro-channels. CoRR Tullio Traverso, Francesco Coletti, Luca Magri, Tassos G. Karayiannis, Omar K. Matar
2023	Misc	`conf`	Anomaly Detection in Optical Spectra VIA Joint Optimization. ICASSP Antonino Maria Rizzo, Luca Magri, Pietro Invernizzi, Enrico Sozio, Stefano Piciaccia, Alberto Tanzi, Stefano Binetti, Cesare Alippi, Giacomo Boracchi
2023	—	`conf`	Bayesian Optimization of the Layout of Wind Farms with a High-Fidelity Surrogate Model. ICCS (4) Nikolaos Bempedelis, Luca Magri
2023	J	`jnl`	Control-aware echo state networks (Ca-ESN) for the suppression of extreme events. CoRR Alberto Racca, Luca Magri
2023	—	`conf`	Convolutional Autoencoder for the Spatiotemporal Latent Representation of Turbulence. ICCS (4) Nguyen Anh Khoa Doan, Alberto Racca, Luca Magri
2023	J	`jnl`	Convolutional autoencoder for the spatiotemporal latent representation of turbulence. CoRR Nguyen Anh Khoa Doan, Alberto Racca, Luca Magri
2023	—	`conf`	Data-Driven Stability Analysis of a Chaotic Time-Delayed System. ICCS (4) Georgios Margazoglou, Luca Magri
2023	—	`conf`	Event Detection in Optical Signals via Domain Adaptation. EUSIPCO Antonino Maria Rizzo, Luca Magri, Pietro Invernizzi, Enrico Sozio, Gabriele Aquaro, Stefano Binetti, Cesare Alippi, Giacomo Boracchi
2023	—	`conf`	Hashing for Structure-Based Anomaly Detection. ICIAP (2) Filippo Leveni, Luca Magri, Cesare Alippi, Giacomo Boracchi
2023	J	`jnl`	Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds. CoRR Daniel Kelshaw, Luca Magri
2023	A*	`conf`	Multi-body Depth and Camera Pose Estimation from Multiple Views. ICCV Andrea Porfiri Dal Cin, Giacomo Boracchi, Luca Magri
2023	J	`jnl`	Multimodal Batch-Wise Change Detection. IEEE Trans. Neural Networks Learn. Syst. Diego Stucchi, Luca Magri, Diego Carrera, Giacomo Boracchi
2023	—	`conf`	Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos. ICCS (4) Elise Özalp, Georgios Margazoglou, Luca Magri
2023	J	`jnl`	Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos. CoRR Elise Özalp, Georgios Margazoglou, Luca Magri
2023	A*	`conf`	Quantum Multi-Model Fitting. CVPR Matteo Farina, Luca Magri, Willi Menapace, Elisa Ricci, Vladislav Golyanik, Federica Arrigoni
2023	J	`jnl`	Quantum Multi-Model Fitting. CoRR Matteo Farina, Luca Magri, Willi Menapace, Elisa Ricci, Vladislav Golyanik, Federica Arrigoni
2023	J	`jnl`	Reconstruction, forecasting, and stability of chaotic dynamics from partial data. CoRR Elise Özalp, Georgios Margazoglou, Luca Magri
2023	J	`jnl`	Short and Straight: Geodesics on Differentiable Manifolds. CoRR Daniel Kelshaw, Luca Magri
2023	J	`jnl`	Super-resolving sparse observations in partial differential equations: A physics-constrained convolutional neural network approach. CoRR Daniel Kelshaw, Luca Magri
2023	J	`jnl`	Uncovering solutions from data corrupted by systematic errors: A physics-constrained convolutional neural network approach. CoRR Daniel Kelshaw, Luca Magri
2022	J	`jnl`	A Physics-based Domain Adaptation framework for modelling and forecasting building energy systems. CoRR Zack Xuereb Conti, Ruchi Choudhary, Luca Magri
2022	J	`jnl`	Data-driven prediction and control of extreme events in a chaotic flow. CoRR Alberto Racca, Luca Magri
2022	J	`jnl`	Known and unknown event detection in OTDR traces by deep learning networks. Neural Comput. Appl. Antonino Maria Rizzo, Luca Magri, Davide Rutigliano, Pietro Invernizzi, Enrico Sozio, Cesare Alippi, Stefano Binetti, Giacomo Boracchi
2022	J	`jnl`	Modelling spatiotemporal turbulent dynamics with the convolutional autoencoder echo state network. CoRR Alberto Racca, Nguyen Anh Khoa Doan, Luca Magri
2022	A	`conf`	Multi-body Self-Calibration. BMVC Andrea Porfiri Dal Cin, Giacomo Boracchi, Luca Magri
2022	J	`jnl`	On interpretability and proper latent decomposition of autoencoders. CoRR Luca Magri, Nguyen Anh Khoa Doan
2022	J	`jnl`	Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems. CoRR Daniel Kelshaw, Georgios Rigas, Luca Magri
2022	J	`jnl`	Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems. CoRR Daniel Kelshaw, Luca Magri
2022	J	`jnl`	Special issue on deep learning modeling in real life: anomaly detection, biomedical, concept analysis, finance, image analysis, recommendation. Neural Comput. Appl. Lazaros Iliadis, Luca Magri
2022	—	`conf`	Statistical Prediction of Extreme Events from Small Datasets. ICCS (3) Alberto Racca, Luca Magri
2022	J	`jnl`	Statistical prediction of extreme events from small datasets. CoRR Alberto Racca, Luca Magri
2021	—	`conf`	Auto-Encoded Reservoir Computing for Turbulence Learning. ICCS (5) Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
2021	—	`conf`	Automatic-differentiated Physics-Informed Echo State Network (API-ESN). ICCS (5) Alberto Racca, Luca Magri
2021	J	`jnl`	Automatic-differentiated Physics-Informed Echo State Network (API-ESN). CoRR Alberto Racca, Luca Magri
2021	J	`jnl`	Gradient-free optimization of chaotic acoustics with reservoir computing. CoRR Francisco Huhn, Luca Magri
2021	A*	`conf`	MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection. CVPR Luca Magri, Filippo Leveni, Giacomo Boracchi
2021	J	`jnl`	Real-time thermoacoustic data assimilation. CoRR Andrea Nóvoa, Luca Magri
2021	J	`jnl`	Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics. CoRR Alberto Racca, Luca Magri
2021	J	`jnl`	Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics. Neural Networks Alberto Racca, Luca Magri
2021	J	`jnl`	Short- and long-term prediction of a chaotic flow: A physics-constrained reservoir computing approach. CoRR Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
2021	A*	`conf`	Synchronization of Group-labelled Multi-graphs. ICCV Andrea Porfiri Dal Cin, Luca Magri, Federica Arrigoni, Andrea Fusiello, Giacomo Boracchi
2020	J	`jnl`	Auto-Encoded Reservoir Computing for Turbulence Learning. CoRR Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
2020	—	`conf`	Learning Ergodic Averages in Chaotic Systems. ICCS (6) Francisco Huhn, Luca Magri
2020	—	`conf`	Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach. ICCS (6) Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
2020	J	`jnl`	Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach. CoRR Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
2020	J	`jnl`	Learning ergodic averages in chaotic systems. CoRR Francisco Huhn, Luca Magri
2020	B	`conf`	Motion Segmentation with Pairwise Matches and Unknown Number of Motions. ICPR Federica Arrigoni, Luca Magri, Tomás Pajdla
2020	—	`conf`	On the Usage of the Trifocal Tensor in Motion Segmentation. ECCV (20) Federica Arrigoni, Luca Magri, Tomás Pajdla
2020	B	`conf`	PIF: Anomaly detection via preference embedding. ICPR Filippo Leveni, Luca Magri, Giacomo Boracchi, Cesare Alippi
2020	J	`jnl`	Physics-Informed Echo State Networks. CoRR Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
2020	J	`jnl`	Physics-informed echo state networks. J. Comput. Sci. Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
2019	J	`jnl`	A physics-aware machine to predict extreme events in turbulence. CoRR Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
2019	J	`jnl`	Adjoint characteristic decomposition of one-dimensional waves. J. Comput. Phys. Luca Magri
2019	J	`jnl`	Combined State and Parameter Estimation in Level-Set Methods. CoRR Hans Yu, Matthew P. Juniper, Luca Magri
2019	J	`jnl`	Combined state and parameter estimation in level-set methods. J. Comput. Phys. Hans Yu, Matthew P. Juniper, Luca Magri
2019	J	`jnl`	Critical Loci for Two Views Reconstruction as Quadratic Transformations Between Images. J. Math. Imaging Vis. Marina Bertolini, Luca Magri, Cristina Turrini
2019	—	`conf`	Data Assimilation in a Nonlinear Time-Delayed Dynamical System with Lagrangian Optimization. ICCS (4) Tullio Traverso, Luca Magri
2019	J	`jnl`	Data assimilation in a nonlinear time-delayed dynamical system. CoRR Tullio Traverso, Luca Magri
2019	A*	`conf`	Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage. CVPR Luca Magri, Andrea Fusiello
2019	—	`conf`	Physics-Informed Echo State Networks for Chaotic Systems Forecasting. ICCS (4) Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
2019	J	`jnl`	Physics-Informed Echo State Networks for Chaotic Systems Forecasting. CoRR Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
2018	J	`jnl`	Multiple structure recovery with maximum coverage. Mach. Vis. Appl. Luca Magri, Andrea Fusiello
2018	—	`conf`	Reconstruction of Interior Walls from Point Cloud Data with Min-Hashed J-Linkage. 3DV Luca Magri, Andrea Fusiello
2017	—	`conf`	A Matrix Decomposition Perspective on Calibrated Photometric Stereo. ICIAP (1) Luca Magri, Roberto Toldo, Umberto Castellani, Andrea Fusiello
2017	J	`jnl`	Adjoint-based sensitivity analysis of low-order thermoacoustic networks using a wave-based approach. J. Comput. Phys. José G. Aguilar, Luca Magri, Matthew P. Juniper
2017	J	`jnl`	Multiple structure recovery via robust preference analysis. Image Vis. Comput. Luca Magri, Andrea Fusiello
2017	J	`jnl`	Multiple structure recovery with T-linkage. J. Vis. Commun. Image Represent. Luca Magri, Andrea Fusiello
2016	A*	`conf`	Multiple Models Fitting as a Set Coverage Problem. CVPR Luca Magri, Andrea Fusiello
2016	—	`conf`	Multiple Structure Recovery via Probabilistic Biclustering. S+SSPR Matteo Denitto, Luca Magri, Alessandro Farinelli, Andrea Fusiello, Manuele Bicego
2016	J	`jnl`	Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part I. Sensitivity. J. Comput. Phys. Luca Magri, Michael Bauerheim, Matthew P. Juniper
2016	J	`jnl`	Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part II. Uncertainty quantification. J. Comput. Phys. Luca Magri, Michael Bauerheim, Franck Nicoud, Matthew P. Juniper
2015	—	`conf`	Fitting Multiple Models via Density Analysis in Tanimoto Space. ICIAP (1) Luca Magri, Andrea Fusiello
2015	C	`conf`	J-DFA: A Novel Approach for Robust Differential Fault Analysis. FDTC Luca Magri, Silvia Mella, Pasqualina Fragneto, Filippo Melzani, Beatrice Rossi
2015	A	`conf`	Robust Multiple Model Fitting with Preference Analysis and Low-rank Approximation. BMVC Luca Magri, Andrea Fusiello
2015	—	`conf`	Scale Estimation in Multiple Models Fitting via Consensus Clustering. CAIP (2) Luca Magri, Andrea Fusiello
2014	—	`conf`	Robust Absolute Rotation Estimation via Low-Rank and Sparse Matrix Decomposition. 3DV Federica Arrigoni, Luca Magri, Beatrice Rossi, Pasqualina Fragneto, Andrea Fusiello
2014	A*	`conf`	T-Linkage: A Continuous Relaxation of J-Linkage for Multi-model Fitting. CVPR Luca Magri, Andrea Fusiello
2012	—	`conf`	Uncalibrated View Synthesis with Homography Interpolation. 3DIMPVT Pasqualina Fragneto, Andrea Fusiello, Beatrice Rossi, Luca Magri, Matteo Ruffini