| 2026 | ICCS | Latent Attention on Masked Patches for Flow Reconstruction. | Ben Eze, Luca Magri, Andrea Nvoa |
| 2026 | ICCS | Adjoint-Based Optimization with Quantized Local Reduced-Order Models for Spatiotemporally Chaotic Systems. | Defne Ege Ozan, Antonio Colanera, Luca Magri |
| 2025 | CVPR | Outlier-Robust Multi-Model Fitting on Quantum Annealers. | Saurabh Pandey, Luca Magri, Federica Arrigoni, Vladislav Golyanik |
| 2025 | ICCS | Online Model Learning with Data-Assimilated Reservoir Computers. | Andrea Nvoa, Luca Magri |
| 2025 | ICCS | Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows. | Defne Ege Ozan, Andrea Nvoa, Luca Magri |
| 2024 | CVPR | Minimal Perspective Autocalibration. | Andrea Porfiri Dal Cin, Timothy Duff, Luca Magri, Toms Pajdla |
| 2024 | ECCV | Revisiting Calibration of Wide-Angle Radially Symmetric Cameras. | Andrea Porfiri Dal Cin, Francesco Azzoni, Giacomo Boracchi, Luca Magri |
| 2024 | ECCV | Temporal-Consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting. | Andrea Marelli, Luca Magri, Federica Arrigoni, Giacomo Boracchi |
| 2024 | ECCV | 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 |
| 2024 | ICCS | Adjoint Sensitivities of Chaotic Flows Without Adjoint Solvers: A Data-Driven Approach. | Defne Ege Ozan, Luca Magri |
| 2024 | IJCAI | 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 |
| 2023 | CVPR | Quantum Multi-Model Fitting. | Matteo Farina, Luca Magri, Willi Menapace, Elisa Ricci, Vladislav Golyanik, Federica Arrigoni |
| 2023 | ICASSP | 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 |
| 2023 | ICCS | Bayesian Optimization of the Layout of Wind Farms with a High-Fidelity Surrogate Model. | Nikolaos Bempedelis, Luca Magri |
| 2023 | ICCS | Convolutional Autoencoder for the Spatiotemporal Latent Representation of Turbulence. | Nguyen Anh Khoa Doan, Alberto Racca, Luca Magri |
| 2023 | ICCS | Data-Driven Stability Analysis of a Chaotic Time-Delayed System. | Georgios Margazoglou, Luca Magri |
| 2023 | ICCS | Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos. | Elise zalp, Georgios Margazoglou, Luca Magri |
| 2023 | ICCV | Multi-body Depth and Camera Pose Estimation from Multiple Views. | Andrea Porfiri Dal Cin, Giacomo Boracchi, Luca Magri |
| 2023 | ICIAP | Hashing for Structure-Based Anomaly Detection. | Filippo Leveni, Luca Magri, Cesare Alippi, Giacomo Boracchi |
| 2022 | BMVC | Multi-body Self-Calibration. | Andrea Porfiri Dal Cin, Giacomo Boracchi, Luca Magri |
| 2022 | ICCS | Statistical Prediction of Extreme Events from Small Datasets. | Alberto Racca, Luca Magri |
| 2021 | CVPR | MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection. | Luca Magri, Filippo Leveni, Giacomo Boracchi |
| 2021 | ICCS | Auto-Encoded Reservoir Computing for Turbulence Learning. | Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri |
| 2021 | ICCS | Automatic-differentiated Physics-Informed Echo State Network (API-ESN). | Alberto Racca, Luca Magri |
| 2021 | ICCV | Synchronization of Group-labelled Multi-graphs. | Andrea Porfiri Dal Cin, Luca Magri, Federica Arrigoni, Andrea Fusiello, Giacomo Boracchi |
| 2020 | ECCV | On the Usage of the Trifocal Tensor in Motion Segmentation. | Federica Arrigoni, Luca Magri, Toms Pajdla |
| 2020 | ICCS | Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach. | Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri |
| 2020 | ICCS | Learning Ergodic Averages in Chaotic Systems. | Francisco Huhn, Luca Magri |
| 2020 | ICPR | Motion Segmentation with Pairwise Matches and Unknown Number of Motions. | Federica Arrigoni, Luca Magri, Toms Pajdla |
| 2020 | ICPR | PIF: Anomaly detection via preference embedding. | Filippo Leveni, Luca Magri, Giacomo Boracchi, Cesare Alippi |
| 2019 | CVPR | Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage. | Luca Magri, Andrea Fusiello |
| 2019 | ICCS | Physics-Informed Echo State Networks for Chaotic Systems Forecasting. | Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri |
| 2019 | ICCS | Data Assimilation in a Nonlinear Time-Delayed Dynamical System with Lagrangian Optimization. | Tullio Traverso, Luca Magri |
| 2017 | ICIAP | A Matrix Decomposition Perspective on Calibrated Photometric Stereo. | Luca Magri, Roberto Toldo, Umberto Castellani, Andrea Fusiello |
| 2016 | CVPR | Multiple Models Fitting as a Set Coverage Problem. | Luca Magri, Andrea Fusiello |
| 2016 | SSPR | Multiple Structure Recovery via Probabilistic Biclustering. | Matteo Denitto, Luca Magri, Alessandro Farinelli, Andrea Fusiello, Manuele Bicego |
| 2015 | BMVC | Robust Multiple Model Fitting with Preference Analysis and Low-rank Approximation. | Luca Magri, Andrea Fusiello |
| 2015 | CAIP | Scale Estimation in Multiple Models Fitting via Consensus Clustering. | Luca Magri, Andrea Fusiello |
| 2015 | FDTC | J-DFA: A Novel Approach for Robust Differential Fault Analysis. | Luca Magri, Silvia Mella, Pasqualina Fragneto, Filippo Melzani, Beatrice Rossi |
| 2015 | ICIAP | Fitting Multiple Models via Density Analysis in Tanimoto Space. | Luca Magri, Andrea Fusiello |
| 2014 | CVPR | T-Linkage: A Continuous Relaxation of J-Linkage for Multi-model Fitting. | Luca Magri, Andrea Fusiello |