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Luca Magri
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2020 – today
- 2024
- [j15]Michele Alziati, Fiore Amarù
, Luca Magri
, Federica Arrigoni
:
Ensemble clustering via synchronized relabelling. Pattern Recognit. Lett. 184: 176-182 (2024) - [c35]Defne Ege Ozan
, Luca Magri
:
Adjoint Sensitivities of Chaotic Flows Without Adjoint Solvers: A Data-Driven Approach. ICCS (5) 2024: 345-352 - [i36]Daniel Kelshaw, Luca Magri:
Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations. CoRR abs/2401.10306 (2024) - [i35]Daniel Kelshaw, Luca Magri:
Computing distances and means on manifolds with a metric-constrained Eikonal approach. CoRR abs/2404.08754 (2024) - [i34]Defne E. Ozan, Luca Magri:
Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A Data-Driven Approach. CoRR abs/2404.12315 (2024) - [i33]Yaxin Mo, Tullio Traverso, Luca Magri:
Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental Data. CoRR abs/2404.19660 (2024) - [i32]Andrea Porfiri Dal Cin, Timothy Duff, Luca Magri, Tomás Pajdla:
Minimal Perspective Autocalibration. CoRR abs/2405.05605 (2024) - [i31]Roberto Basla, Loris Giulivi, Luca Magri, Giacomo Boracchi:
An expert-driven data generation pipeline for histological images. CoRR abs/2406.01403 (2024) - 2023
- [j14]Diego Stucchi
, Luca Magri
, Diego Carrera
, Giacomo Boracchi
:
Multimodal Batch-Wise Change Detection. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6783-6797 (2023) - [c34]Matteo Farina, Luca Magri, Willi Menapace, Elisa Ricci, Vladislav Golyanik, Federica Arrigoni:
Quantum Multi-Model Fitting. CVPR 2023: 13640-13649 - [c33]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 - [c32]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 - [c31]Nguyen Anh Khoa Doan, Alberto Racca, Luca Magri:
Convolutional Autoencoder for the Spatiotemporal Latent Representation of Turbulence. ICCS (4) 2023: 328-335 - [c30]Nikolaos Bempedelis, Luca Magri:
Bayesian Optimization of the Layout of Wind Farms with a High-Fidelity Surrogate Model. ICCS (4) 2023: 344-352 - [c29]Elise Özalp, Georgios Margazoglou, Luca Magri:
Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos. ICCS (4) 2023: 382-389 - [c28]Georgios Margazoglou, Luca Magri:
Data-Driven Stability Analysis of a Chaotic Time-Delayed System. ICCS (4) 2023: 406-413 - [c27]Andrea Porfiri Dal Cin, Giacomo Boracchi, Luca Magri:
Multi-body Depth and Camera Pose Estimation from Multiple Views. ICCV 2023: 17758-17768 - [c26]Filippo Leveni
, Luca Magri
, Cesare Alippi
, Giacomo Boracchi
:
Hashing for Structure-Based Anomaly Detection. ICIAP (2) 2023: 25-36 - [i30]Nguyen Anh Khoa Doan
, Alberto Racca, Luca Magri:
Convolutional autoencoder for the spatiotemporal latent representation of turbulence. CoRR abs/2301.13728 (2023) - [i29]Elise Özalp, Georgios Margazoglou, Luca Magri
:
Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos. CoRR abs/2302.10779 (2023) - [i28]Matteo Farina, Luca Magri, Willi Menapace, Elisa Ricci
, Vladislav Golyanik, Federica Arrigoni:
Quantum Multi-Model Fitting. CoRR abs/2303.15444 (2023) - [i27]Elise Özalp, Georgios Margazoglou, Luca Magri
:
Reconstruction, forecasting, and stability of chaotic dynamics from partial data. CoRR abs/2305.15111 (2023) - [i26]Daniel Kelshaw, Luca Magri
:
Short and Straight: Geodesics on Differentiable Manifolds. CoRR abs/2305.15228 (2023) - [i25]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) - [i24]Daniel Kelshaw, Luca Magri
:
Uncovering solutions from data corrupted by systematic errors: A physics-constrained convolutional neural network approach. CoRR abs/2306.04600 (2023) - [i23]Daniel Kelshaw, Luca Magri
:
Super-resolving sparse observations in partial differential equations: A physics-constrained convolutional neural network approach. CoRR abs/2306.10990 (2023) - [i22]Alberto Racca, Luca Magri:
Control-aware echo state networks (Ca-ESN) for the suppression of extreme events. CoRR abs/2308.03095 (2023) - [i21]Daniel Kelshaw, Luca Magri:
Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds. CoRR abs/2310.06157 (2023) - 2022
- [j13]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): 19397-19400 (2022) - [j12]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): 19655-19673 (2022) - [c25]Andrea Porfiri Dal Cin, Giacomo Boracchi, Luca Magri:
Multi-body Self-Calibration. BMVC 2022: 471 - [c24]Alberto Racca
, Luca Magri:
Statistical Prediction of Extreme Events from Small Datasets. ICCS (3) 2022: 707-713 - [i20]Alberto Racca, Luca Magri:
Statistical prediction of extreme events from small datasets. CoRR abs/2201.08294 (2022) - [i19]Alberto Racca, Luca Magri
:
Data-driven prediction and control of extreme events in a chaotic flow. CoRR abs/2204.11682 (2022) - [i18]Zack Xuereb Conti, Ruchi Choudhary, Luca Magri:
A Physics-based Domain Adaptation framework for modelling and forecasting building energy systems. CoRR abs/2208.09456 (2022) - [i17]Daniel Kelshaw, Luca Magri
:
Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems. CoRR abs/2210.16215 (2022) - [i16]Daniel Kelshaw, Georgios Rigas, Luca Magri
:
Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems. CoRR abs/2210.17319 (2022) - [i15]Luca Magri, Nguyen Anh Khoa Doan:
On interpretability and proper latent decomposition of autoencoders. CoRR abs/2211.08345 (2022) - [i14]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
- [j11]Alberto Racca
, Luca Magri
:
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics. Neural Networks 142: 252-268 (2021) - [c23]Luca Magri, Filippo Leveni
, Giacomo Boracchi
:
MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection. CVPR 2021: 1853-1862 - [c22]Alberto Racca
, Luca Magri
:
Automatic-differentiated Physics-Informed Echo State Network (API-ESN). ICCS (5) 2021: 323-329 - [c21]Nguyen Anh Khoa Doan
, Wolfgang Polifke, Luca Magri:
Auto-Encoded Reservoir Computing for Turbulence Learning. ICCS (5) 2021: 344-351 - [c20]Andrea Porfiri Dal Cin, Luca Magri, Federica Arrigoni, Andrea Fusiello, Giacomo Boracchi
:
Synchronization of Group-labelled Multi-graphs. ICCV 2021: 6433-6443 - [i13]Alberto Racca, Luca Magri:
Automatic-differentiated Physics-Informed Echo State Network (API-ESN). CoRR abs/2101.00002 (2021) - [i12]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) - [i11]Alberto Racca, Luca Magri:
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics. CoRR abs/2103.03174 (2021) - [i10]Andrea Nóvoa, Luca Magri:
Real-time thermoacoustic data assimilation. CoRR abs/2106.06409 (2021) - [i9]Francisco Huhn, Luca Magri:
Gradient-free optimization of chaotic acoustics with reservoir computing. CoRR abs/2106.09780 (2021) - 2020
- [j10]Nguyen Anh Khoa Doan
, Wolfgang Polifke
, Luca Magri:
Physics-informed echo state networks. J. Comput. Sci. 47: 101237 (2020) - [c19]Federica Arrigoni, Luca Magri, Tomás Pajdla:
On the Usage of the Trifocal Tensor in Motion Segmentation. ECCV (20) 2020: 514-530 - [c18]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 - [c17]Francisco Huhn, Luca Magri
:
Learning Ergodic Averages in Chaotic Systems. ICCS (6) 2020: 124-132 - [c16]Federica Arrigoni, Luca Magri, Tomás Pajdla:
Motion Segmentation with Pairwise Matches and Unknown Number of Motions. ICPR 2020: 2896-2903 - [c15]Filippo Leveni
, Luca Magri, Giacomo Boracchi
, Cesare Alippi:
PIF: Anomaly detection via preference embedding. ICPR 2020: 8077-8084 - [i8]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) - [i7]Francisco Huhn, Luca Magri:
Learning ergodic averages in chaotic systems. CoRR abs/2001.04027 (2020) - [i6]Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri:
Physics-Informed Echo State Networks. CoRR abs/2011.02280 (2020) - [i5]Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri:
Auto-Encoded Reservoir Computing for Turbulence Learning. CoRR abs/2012.10968 (2020)
2010 – 2019
- 2019
- [j9]Luca Magri
:
Adjoint characteristic decomposition of one-dimensional waves. J. Comput. Phys. 388: 454-461 (2019) - [j8]Hans Yu
, Matthew P. Juniper, Luca Magri
:
Combined state and parameter estimation in level-set methods. J. Comput. Phys. 399 (2019) - [j7]Marina Bertolini
, Luca Magri, Cristina Turrini:
Critical Loci for Two Views Reconstruction as Quadratic Transformations Between Images. J. Math. Imaging Vis. 61(9): 1322-1328 (2019) - [c14]Luca Magri, Andrea Fusiello:
Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage. CVPR 2019: 7460-7468 - [c13]Tullio Traverso
, Luca Magri
:
Data Assimilation in a Nonlinear Time-Delayed Dynamical System with Lagrangian Optimization. ICCS (4) 2019: 156-168 - [c12]Nguyen Anh Khoa Doan
, Wolfgang Polifke
, Luca Magri
:
Physics-Informed Echo State Networks for Chaotic Systems Forecasting. ICCS (4) 2019: 192-198 - [i4]Hans Yu, Matthew P. Juniper, Luca Magri:
Combined State and Parameter Estimation in Level-Set Methods. CoRR abs/1903.00321 (2019) - [i3]Tullio Traverso, Luca Magri:
Data assimilation in a nonlinear time-delayed dynamical system. CoRR abs/1904.05163 (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) - 2018
- [j6]Luca Magri, Andrea Fusiello
:
Multiple structure recovery with maximum coverage. Mach. Vis. Appl. 29(1): 159-173 (2018) - [c11]Luca Magri, Andrea Fusiello:
Reconstruction of Interior Walls from Point Cloud Data with Min-Hashed J-Linkage. 3DV 2018: 131-139 - 2017
- [j5]Luca Magri, Andrea Fusiello:
Multiple structure recovery via robust preference analysis. Image Vis. Comput. 67: 1-15 (2017) - [j4]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) - [j3]Luca Magri
, Andrea Fusiello:
Multiple structure recovery with T-linkage. J. Vis. Commun. Image Represent. 49: 57-77 (2017) - [c10]Luca Magri, Roberto Toldo, Umberto Castellani, Andrea Fusiello:
A Matrix Decomposition Perspective on Calibrated Photometric Stereo. ICIAP (1) 2017: 507-517 - 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) - [c9]Luca Magri
, Andrea Fusiello:
Multiple Models Fitting as a Set Coverage Problem. CVPR 2016: 3318-3326 - [c8]Matteo Denitto, Luca Magri
, Alessandro Farinelli
, Andrea Fusiello, Manuele Bicego:
Multiple Structure Recovery via Probabilistic Biclustering. S+SSPR 2016: 274-284 - 2015
- [c7]Luca Magri
, Andrea Fusiello:
Robust Multiple Model Fitting with Preference Analysis and Low-rank Approximation. BMVC 2015: 20.1-20.12 - [c6]Luca Magri
, Andrea Fusiello
:
Scale Estimation in Multiple Models Fitting via Consensus Clustering. CAIP (2) 2015: 13-25 - [c5]Luca Magri
, Silvia Mella
, Pasqualina Fragneto, Filippo Melzani
, Beatrice Rossi:
J-DFA: A Novel Approach for Robust Differential Fault Analysis. FDTC 2015: 35-44 - [c4]Luca Magri
, Andrea Fusiello
:
Fitting Multiple Models via Density Analysis in Tanimoto Space. ICIAP (1) 2015: 73-84 - 2014
- [c3]Federica Arrigoni
, Luca Magri
, Beatrice Rossi, Pasqualina Fragneto, Andrea Fusiello
:
Robust Absolute Rotation Estimation via Low-Rank and Sparse Matrix Decomposition. 3DV 2014: 491-498 - [c2]Luca Magri
, Andrea Fusiello
:
T-Linkage: A Continuous Relaxation of J-Linkage for Multi-model Fitting. CVPR 2014: 3954-3961 - 2012
- [c1]Pasqualina Fragneto, Andrea Fusiello
, Beatrice Rossi, Luca Magri
, Matteo Ruffini:
Uncalibrated View Synthesis with Homography Interpolation. 3DIMPVT 2012: 270-277
Coauthor Index
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last updated on 2024-08-05 21:22 CEST by the dblp team
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