Marco Forgione

53 papers C 2Journal 38Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the normalization of gray-box state-space neural networks. Autom. Milad Banitalebi Dehkordi, Marco Forgione, Gionata Cimini, Lapo Frascati, Dario Piga
2026	J	`jnl`	The duality of generative AI and reinforcement learning in robotics: A review. Inf. Fusion Angelo Moroncelli, Vishal Soni, Marco Forgione, Dario Piga, Blerina Spahiu, Loris Roveda
2025	J	`jnl`	Contactless Estimation of Respiratory Frequency Using 3D-CNN on Thermal Images. IEEE J. Biomed. Health Informatics Federica Gioia, Filippo Pura, Alberto Greco, Dario Piga, Arcangelo Merla, Marco Forgione
2025	J	`jnl`	Distributionally Robust Minimization in Meta-Learning for System Identification. IEEE Control. Syst. Lett. Matteo Rufolo, Dario Piga, Marco Forgione
2025	J	`jnl`	Distributionally robust minimization in meta-learning for system identification. CoRR Matteo Rufolo, Dario Piga, Marco Forgione
2025	—	`conf`	Enhanced Transformer architecture for in-context learning of dynamical systems. ECC Matteo Rufolo, Dario Piga, Gabriele Maroni, Marco Forgione
2025	J	`jnl`	In-Context Learning for Zero-Shot Speed Estimation of BLDC motors. CoRR Alessandro Colombo, Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin
2025	J	`jnl`	Learning Low-Dimensional Embeddings for Black-Box Optimization. CoRR Riccardo Busetto, Manas Mejari, Marco Forgione, Alberto Bemporad, Dario Piga
2025	J	`jnl`	Manifold meta-learning for reduced-complexity neural system identification. CoRR Marco Forgione, Ankush Chakrabarty, Dario Piga, Matteo Rufolo, Alberto Bemporad
2025	J	`jnl`	Nonlinear System Identification Nano-drone Benchmark. CoRR Riccardo Busetto, Elia Cereda, Marco Forgione, Gabriele Maroni, Dario Piga, Daniele Palossi
2025	—	`conf`	Physics-Informed Neural Networks for Hidden Insulin Dynamics Estimation from Glucose Data. AIME (2) Lea Multerer, Manuel Acquistapace, Marco Forgione, Laura Azzimonti
2025	J	`jnl`	Uncertainty quantification in neural state-space models: Applications for experiment design and uncertainty-aware MPC. Eur. J. Control Milad Banitalebi Dehkordi, Marco Forgione, Dario Piga
2025	J	`jnl`	dynoGP: Deep Gaussian Processes for dynamic system identification. CoRR Alessio Benavoli, Dario Piga, Marco Forgione, Marco Zaffalon
2024	—	`conf`	A Computationally Efficient Deep Learning-Based Surrogate Model of Prediabetes Progression. BIBM Lea Multerer, Stefano Toniolo, Sandra Mitrovic, Maria Concetta Palumbo, Alessandro Ravoni, Paolo Tieri, Marco Forgione, Laura Azzimonti
2024	J	`jnl`	Enhanced Transformer architecture for in-context learning of dynamical systems. CoRR Matteo Rufolo, Dario Piga, Gabriele Maroni, Marco Forgione
2024	J	`jnl`	Integrating Reinforcement Learning with Foundation Models for Autonomous Robotics: Methods and Perspectives. CoRR Angelo Moroncelli, Vishal Soni, Asad Ali Shahid, Marco Maccarini, Marco Forgione, Dario Piga, Blerina Spahiu, Loris Roveda
2024	—	`conf`	Model order reduction of deep structured state-space models: A system-theoretic approach. CDC Marco Forgione, Manas Mejari, Dario Piga
2024	J	`jnl`	Model order reduction of deep structured state-space models: A system-theoretic approach. CoRR Marco Forgione, Manas Mejari, Dario Piga
2024	J	`jnl`	One controller to rule them all. CoRR Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin
2024	—	`conf`	RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling. ICINCO (2) Manuel Bianchi Bazzi, Asad Ali Shahid, Christopher Agia, John Irvin Alora, Marco Forgione, Dario Piga, Francesco Braghin, Marco Pavone, Loris Roveda
2024	J	`jnl`	RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling. CoRR Manuel Bianchi Bazzi, Asad Ali Shahid, Christopher Agia, John Irvin Alora, Marco Forgione, Dario Piga, Francesco Braghin, Marco Pavone, Loris Roveda
2024	—	`conf`	Synthetic data generation for system identification: leveraging knowledge transfer from similar systems. CDC Dario Piga, Matteo Rufolo, Gabriele Maroni, Manas Mejari, Marco Forgione
2024	J	`jnl`	Synthetic data generation for system identification: leveraging knowledge transfer from similar systems. CoRR Dario Piga, Matteo Rufolo, Gabriele Maroni, Manas Mejari, Marco Forgione
2023	J	`jnl`	From System Models to Class Models: An In-Context Learning Paradigm. IEEE Control. Syst. Lett. Marco Forgione, Filippo Pura, Dario Piga
2023	J	`jnl`	In-context learning for model-free system identification. CoRR Marco Forgione, Filippo Pura, Dario Piga
2023	J	`jnl`	In-context learning of state estimators. CoRR Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin
2023	J	`jnl`	Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification. CoRR Marco Forgione, Dario Piga
2023	J	`jnl`	On the adaptation of in-context learners for system identification. CoRR Dario Piga, Filippo Pura, Marco Forgione
2023	J	`jnl`	On the adaptation of recurrent neural networks for system identification. Autom. Marco Forgione, Aneri Muni, Dario Piga, Marco Gallieri
2022	—	`conf`	Control Design via Bayesian Optimization with Safety Constraints. CCTA Xavier Bombois, Marco Forgione
2022	J	`jnl`	Direct identification of continuous-time LPV state-space models via an integral architecture. Autom. Manas Mejari, Bojan Mavkov, Marco Forgione, Dario Piga
2022	J	`jnl`	Learning Dynamical Systems From Quantized Observations: A Bayesian Perspective. IEEE Trans. Autom. Control. Dario Piga, Manas Mejari, Marco Forgione
2022	J	`jnl`	Learning neural state-space models: do we need a state estimator? CoRR Marco Forgione, Manas Mejari, Dario Piga
2022	—	`conf`	NARX Identification using Derivative-Based Regularized Neural Networks. CDC L. H. Peeters, Gerben Izaak Beintema, Marco Forgione, Maarten Schoukens
2022	J	`jnl`	NARX Identification using Derivative-Based Regularized Neural Networks. CoRR L. H. Peeters, Gerben Izaak Beintema, Marco Forgione, Maarten Schoukens
2022	J	`jnl`	On the adaptation of recurrent neural networks for system identification. CoRR Marco Forgione, Aneri Muni, Dario Piga, Marco Gallieri
2021	J	`jnl`	Continuous-time system identification with neural networks: Model structures and fitting criteria. Eur. J. Control Marco Forgione, Dario Piga
2021	J	`jnl`	Deep learning with transfer functions: new applications in system identification. CoRR Dario Piga, Marco Forgione, Manas Mejari
2020	J	`jnl`	Continuous-time system identification with neural networks: model structures and fitting criteria. CoRR Marco Forgione, Dario Piga
2020	J	`jnl`	Integrated Neural Networks for Nonlinear Continuous-Time System Identification. IEEE Control. Syst. Lett. Bojan Mavkov, Marco Forgione, Dario Piga
2020	—	`conf`	One-Stage Auto-Tuning Procedure of Robot Dynamics and Control Parameters for Trajectory Tracking Applications. UR Loris Roveda, Marco Forgione, Dario Piga
2020	J	`jnl`	dynoNet: a neural network architecture for learning dynamical systems. CoRR Marco Forgione, Dario Piga
2019	J	`jnl`	Efficient Calibration of Embedded MPC. CoRR Marco Forgione, Dario Piga, Alberto Bemporad
2019	J	`jnl`	Model structures and fitting criteria for system identification with neural networks. CoRR Marco Forgione, Dario Piga
2019	J	`jnl`	Performance-Oriented Model Learning for Data-Driven MPC Design. IEEE Control. Syst. Lett. Dario Piga, Marco Forgione, Simone Formentin, Alberto Bemporad
2015	J	`jnl`	Data-driven model improvement for model-based control. Autom. Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof
2015	J	`jnl`	Least costly closed-loop performance diagnosis and plant re-identification. Int. J. Control Ali Mesbah, Xavier Bombois, Marco Forgione, Håkan Hjalmarsson, Paul M. J. Van den Hof
2015	—	`conf`	Least-costly experiment design for uni-parametric linear models: An analytical approach. ECC Max G. Potters, Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof
2014	—	`conf`	Experiment design for parameter estimation in nonlinear systems based on multilevel excitation. ECC Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof, Håkan Hjalmarsson
2013	C	`conf`	Experiment design for batch-to-batch model-based learning control. ACC Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof
2012	—	`conf`	A unified experiment design framework for detection and identification in closed-loop performance diagnosis. CDC Ali Mesbah, Xavier Bombois, Marco Forgione, Jobert H. A. Ludlage, Per Erik Modén, Håkan Hjalmarsson, Paul M. J. Van den Hof
2012	—	`conf`	Batch-to-batch strategies for cooling crystallization. CDC Marco Forgione, Ali Mesbah, Xavier Bombois, Paul M. J. Van den Hof
2012	C	`conf`	Iterative Learning Control of supersaturation in batch cooling crystallization. ACC Marco Forgione, Ali Mesbah, Xavier Bombois, Paul M. J. Van den Hof