Deterministic, quenched, and annealed parameter estimation for heterogeneous network models
2023-01-01 Di Vece, Marzio; Garlaschelli, Diego; Squartini, Tiziano
A spectral signature of breaking of ensemble equivalence for constrained random graphs
2021-01-01 Dionigi, P.; Garlaschelli, D.; Den Hollander, F.; Mandjes, M.
Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations
2022-01-01 Mircea, M.; Hochane, M.; Fan, X.; Chuva de Sousa Lopes, S. M.; Garlaschelli, D.; Semrau, S.
Multiscale network renormalization: Scale-invariance without geometry
2023-01-01 Garuccio, E.; Lalli, M.; Garlaschelli, D.
Reconstructing supply networks
2024-01-01 Mungo, L.; Brintrup, A.; Garlaschelli, D.; Lafond, F.
Local stability properties of complex, species-rich soil food webs with functional block structure
2021-01-01 de Castro, F.; Adl, S. M.; Allesina, S.; Bardgett, R. D.; Bolger, T.; Dalzell, J. J.; Emmerson, M.; Fleming, T.; Garlaschelli, D.; Grilli, J.; Hannula, S. E.; de Vries, F.; Lindo, Z.; Maule, A. G.; Opik, M.; Rillig, M. C.; Veresoglou, S. D.; Wall, D. H.; Caruso, T.
Commodity-specific triads in the Dutch inter-industry production network
2024-01-01 Di Vece, Marzio; Pijpers, Frank P.; Garlaschelli, Diego
Testing structural balance theories in heterogeneous signed networks
2024-01-01 Gallo, A.; Garlaschelli, D.; Lambiotte, R.; Saracco, F.; Squartini, T.
An Inexact Sequential Quadratic Programming Method for Learning and Control of Recurrent Neural Networks
2024-01-01 Adeoye, A. D.; Bemporad, A.
Certification of the proximal gradient method under fixed-point arithmetic for box-constrained QP problems
2024-01-01 Krupa, P.; Inverso, O.; Tribastone, M.; Bemporad, A.
Scenario-based model predictive control with probabilistic human predictions for human–robot coexistence
2024-01-01 Oleinikov, A.; Soltan, S.; Balgabekova, Z.; Bemporad, A.; Rubagotti, M.
A construction-free coordinate-descent augmented-Lagrangian method for embedded linear MPC based on ARX models
2023-01-01 Wu, L.; Bemporad, A.
A Piecewise Linear Regression and Classification Algorithm With Application to Learning and Model Predictive Control of Hybrid Systems
2023-01-01 Bemporad, A.
Co-Design of a Controller and Its Digital Implementation: The MOBY-DIC2 Toolbox for Embedded Model Predictive Control
2023-01-01 Ravera, A.; Oliveri, A.; Lodi, M.; Bemporad, A.; Heemels, W. P. M. H.; Kerrigan, E. C.; Storace, M.
Multi-Agent Active Learning for Distributed Black-Box Optimization
2023-01-01 Cannelli, L.; Zhu, M.; Farina, F.; Bemporad, A.; Piga, D.
Recurrent Neural Network Training with Convex Loss and Regularization Functions by Extended Kalman Filtering
2023-01-01 Bemporad, A.
Efficiently Solving the Harmonic Model Predictive Control Formulation
2023-01-01 Krupa, P.; Limon, D.; Bemporad, A.; Alamo, T.
Variance-Based Exploration for Learning Model Predictive Control
2023-01-01 Seel, K.; Bemporad, A.; Gros, S.; Gravdahl, J. T.
A Simple and Fast Coordinate-Descent Augmented-Lagrangian Solver for Model Predictive Control
2023-01-01 Wu, L.; Bemporad, A.
Active learning for regression by inverse distance weighting
2023-01-01 Bemporad, A.
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