Personal information

Websites & social links

www.marcoforgione.it

Other IDs

Scopus Author ID: 55247924500

Keywords

system identification, machine learning, control

Countries

Switzerland, Italy

Biography

Marco Forgione received his M.Sc. degree in Computer Engineering from the University of Pavia (Italy) in 2009 and his Ph.D. in Systems and Control Engineering from the Delft University of Technology (The Netherlands) in 2014.
He was a Postdoctoral Researcher at the Ecole Centrale de Lyon (France) from 2014 to 2015 and a R\&D Control Engineering Consultant for Whirlpool EMEA in Biandronno (Italy) from 2015 to 2018. He is currently a Researcher at the IDSIA Dalle Molle Institute for Artificial Intelligence in Lugano (Switzerland). His research interests lie at the intersection of machine learning, system identification, and automatic control.

Activities

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Employment (3)

Scuola universitaria professionale della Svizzera italiana Dipartimento tecnologie innovative: Lugano, Ticino, CH

2018-10-01 to present | Researcher (IDSIA)
Employment
Source: Self-asserted source
Marco Forgione

SMS Spinnler Fleury AG: Balerna, CH

2017 to 2018
Employment
Source: Self-asserted source
Marco Forgione

Whirlpool (Italy): Biandronno, IT

2015 to 2017
Employment
Source: Self-asserted source
Marco Forgione

Education and qualifications (3)

Delft University of Technology: Delft, Zuid-Holland, NL

2010 to 2014 | PhD in Systems and Control (DCSC)
Education
Source: Self-asserted source
Marco Forgione

University of Pavia: Pavia, IT

2007 to 2009 | MSc in Computer Engineering
Education
Source: Self-asserted source
Marco Forgione

University of Pavia: Pavia, IT

2004 to 2007 | BSc in Computer Engineering
Education
Source: Self-asserted source
Marco Forgione

Works (50 of 63)

Items per page:
Page 1 of 2

A Computationally Efficient Deep Learning-Based Surrogate Model of Prediabetes Progression

Proceedings - 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
2024 | Conference paper
DOI: 10.1109/BIBM62325.2024.10822298
EID:

2-s2.0-85217278426

Part of ISBN: 9798350386226
Contributors: Multerer, L.; Toniolo, S.; Mitrovic, S.; Palumbo, M.C.; Ravoni, A.; Tieri, P.; Forgione, M.; Azzimonti, L.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Enhanced Transformer architecture for in-context learning of dynamical systems

arXiv
2024 | Other
DOI: 10.48550/arXiv.2410.03291
EID:

2-s2.0-85207976059

Part of ISSN: 23318422
Contributors: Rufolo, M.; Piga, D.; Maroni, G.; Forgione, M.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

In-context learning of state estimators

IFAC-PapersOnLine
2024 | Conference paper
DOI: 10.1016/j.ifacol.2024.08.519
EID:

2-s2.0-85205800901

Part of ISSN: 24058963 24058971
Contributors: Busetto, R.; Breschi, V.; Forgione, M.; Piga, D.; Formentin, S.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Integrating Reinforcement Learning with Foundation Models for Autonomous Robotics: Methods and Perspectives

arXiv
2024 | Other
DOI: 10.48550/arXiv.2410.16411
EID:

2-s2.0-85208759922

Part of ISSN: 23318422
Contributors: Moroncelli, A.; Soni, V.; Shahid, A.A.; Maccarini, M.; Forgione, M.; Piga, D.; Spahiu, B.; Roveda, L.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Model order reduction of deep structured state-space models: A system-theoretic approach

arXiv
2024 | Other
DOI: 10.48550/arXiv.2403.14833
EID:

2-s2.0-85189186175

Part of ISSN: 23318422
Contributors: Forgione, M.; Mejari, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

On the adaptation of in-context learners for system identification

IFAC-PapersOnLine
2024 | Conference paper
DOI: 10.1016/j.ifacol.2024.08.541
EID:

2-s2.0-85205788990

Part of ISSN: 24058963 24058971
Contributors: Piga, D.; Pura, F.; Forgione, M.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

One controller to rule them all

arXiv
2024 | Other
DOI: 10.48550/arXiv.2411.06482
EID:

2-s2.0-85211650340

Part of ISSN: 23318422
Contributors: Busetto, R.; Breschi, V.; Forgione, M.; Piga, D.; Formentin, S.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling

arXiv
2024 | Other
DOI: 10.48550/arXiv.2409.11815
EID:

2-s2.0-85208383598

Part of ISSN: 23318422
Contributors: Bazzi, M.B.; Shahid, A.A.; Agia, C.; Alora, J.; Forgione, M.; Piga, D.; Braghin, F.; Pavone, M.; Roveda, L.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Synthetic data generation for system identification: Leveraging knowledge transfer from similar systems

arXiv
2024 | Other
DOI: 10.48550/arXiv.2403.05164
EID:

2-s2.0-85188590521

Part of ISSN: 23318422
Contributors: Piga, D.; Rufolo, M.; Maroni, G.; Mejari, M.; Forgione, M.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Fast predictive visual servoing: A reference governor-based approach

Control Engineering Practice
2023 | Journal article
DOI: 10.1016/j.conengprac.2023.105521
EID:

2-s2.0-85152490339

Part of ISSN: 09670661
Contributors: Paolillo, A.; Forgione, M.; Piga, D.; Hoffman, E.M.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

From system models to class models: An in-context learning paradigm

arXiv
2023 | Other
DOI: 10.48550/arXiv.2308.13380
EID:

2-s2.0-85182176456

Part of ISSN: 23318422
Contributors: Forgione, M.; Pura, F.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

From System Models to Class Models: An In-Context Learning Paradigm

IEEE Control Systems Letters
2023 | Journal article
DOI: 10.1109/LCSYS.2023.3335036
EID:

2-s2.0-85178006638

Part of ISSN: 24751456
Contributors: Forgione, M.; Pura, F.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

In-context learning of state estimators

arXiv
2023 | Other
DOI: 10.48550/arXiv.2312.04509
EID:

2-s2.0-85180232229

Part of ISSN: 23318422
Contributors: Busetto, R.; Breschi, V.; Forgione, M.; Piga, D.; Formentin, S.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification

arXiv
2023 | Other
DOI: 10.48550/arXiv.2304.06349
EID:

2-s2.0-85156123370

Part of ISSN: 23318422
Contributors: Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification

IFAC-PapersOnLine
2023 | Conference paper
DOI: 10.1016/j.ifacol.2023.10.1736
EID:

2-s2.0-85184960614

Part of ISBN: 9781713872344
Part of ISSN: 24058963
Contributors: Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

On the adaptation of in-context learners for system identification

arXiv
2023 | Other
DOI: 10.48550/arXiv.2312.04083
EID:

2-s2.0-85180231218

Part of ISSN: 23318422
Contributors: Piga, D.; Pura, F.; Forgione, M.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

On the adaptation of recurrent neural networks for system identification

Automatica
2023 | Journal article
DOI: 10.1016/j.automatica.2023.111092
EID:

2-s2.0-85161078253

Part of ISSN: 00051098
Contributors: Forgione, M.; Muni, A.; Piga, D.; Gallieri, M.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Robotics Benchmark on Transfer Learning: a Human-Robot Collaboration Use Case

IFAC-PapersOnLine
2023 | Conference paper
DOI: 10.1016/j.ifacol.2023.10.1026
EID:

2-s2.0-85184962023

Part of ISBN: 9781713872344
Part of ISSN: 24058963
Contributors: Shahid, A.A.; Forgione, M.; Gallieri, M.; Roveda, L.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Variational autoencoder for the identification of piecewise models

IFAC-PapersOnLine
2023 | Conference paper
DOI: 10.1016/j.ifacol.2023.10.1728
EID:

2-s2.0-85184960829

Part of ISBN: 9781713872344
Part of ISSN: 24058963
Contributors: Mejari, M.; Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Control Design via Bayesian Optimization with Safety Constraints

2022 IEEE Conference on Control Technology and Applications, CCTA 2022
2022 | Conference paper
DOI: 10.1109/CCTA49430.2022.9966099
EID:

2-s2.0-85144597841

Part of ISBN: 9781665473385
Contributors: Bombois, X.; Forgione, M.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Direct identification of continuous-time LPV state-space models via an integral architecture

Automatica
2022 | Journal article
DOI: 10.1016/j.automatica.2022.110407
EID:

2-s2.0-85131038005

Part of ISSN: 00051098
Contributors: Mejari, M.; Mavkov, B.; Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Learning Dynamical Systems From Quantized Observations: A Bayesian Perspective

IEEE Transactions on Automatic Control
2022 | Journal article
DOI: 10.1109/TAC.2021.3122385
EID:

2-s2.0-85118565724

Part of ISSN: 15582523 00189286
Contributors: Piga, D.; Mejari, M.; Forgione, M.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

LEARNING NEURAL STATE-SPACE MODELS: DO WE NEED A STATE ESTIMATOR?

arXiv
2022 | Other
DOI: 10.48550/arXiv.2206.12928
EID:

2-s2.0-85133596528

Part of ISSN: 23318422
Contributors: Forgione, M.; Mejari, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

NARX Identification using Derivative-Based Regularized Neural Networks

arXiv
2022 | Other
EID:

2-s2.0-85129473659

Part of ISSN: 23318422
Contributors: Peeters, L.H.; Beintema, G.I.; Forgione, M.; Schoukens, M.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

NARX Identification using Derivative-Based Regularized Neural Networks

arXiv
2022 | Other
DOI: 10.48550/arxiv.2204.05892
EID:

2-s2.0-85169627280

Part of ISSN: 23318422
Contributors: Peeters, L.H.; Beintema, G.I.; Forgione, M.; Schoukens, M.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

NARX Identification using Derivative-Based Regularized Neural Networks

Proceedings of the IEEE Conference on Decision and Control
2022 | Conference paper
DOI: 10.1109/CDC51059.2022.9992559
EID:

2-s2.0-85147014805

Part of ISBN: 9781665467612
Part of ISSN: 25762370 07431546
Contributors: Peeters, L.H.; Beintema, G.I.; Forgione, M.; Schoukens, M.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

ON THE ADAPTATION OF RECURRENT NEURAL NETWORKS FOR SYSTEM IDENTIFICATION

arXiv
2022 | Other
EID:

2-s2.0-85123728721

Part of ISSN: 23318422
Contributors: Forgione, M.; Muni, A.; Gallieri, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

ON THE ADAPTATION OF RECURRENT NEURAL NETWORKS FOR SYSTEM IDENTIFICATION

arXiv
2022 | Other
DOI: 10.48550/arxiv.2201.08660
EID:

2-s2.0-85170134052

Part of ISSN: 23318422
Contributors: Forgione, M.; Muni, A.; Gallieri, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

An integral architecture for identification of continuous-time state-space LPV models

IFAC-PapersOnLine
2021 | Conference paper
DOI: 10.1016/j.ifacol.2021.08.573
EID:

2-s2.0-85118101978

Part of ISSN: 24058963
Contributors: Mejari, M.; Mavkov, B.; Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Continuous-time system identification with neural networks: Model structures and fitting criteria

European Journal of Control
2021 | Journal article
DOI: 10.1016/j.ejcon.2021.01.008
EID:

2-s2.0-85102057467

Part of ISSN: 09473580
Contributors: Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Deep learning with transfer functions: New applications in system identification

arXiv
2021 | Other
EID:

2-s2.0-85106127729

Part of ISSN: 23318422
Contributors: Piga, D.; Forgione, M.; Mejari, M.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Deep learning with transfer functions: New applications in system identification

arXiv
2021 | Other
DOI: 10.48550/arxiv.2104.09839
EID:

2-s2.0-85169500607

Part of ISSN: 23318422
Contributors: Piga, D.; Forgione, M.; Mejari, M.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Deep learning with transfer functions: New applications in system identification

IFAC-PapersOnLine
2021 | Conference paper
DOI: 10.1016/j.ifacol.2021.08.395
EID:

2-s2.0-85118102579

Part of ISSN: 24058963
Contributors: Piga, D.; Forgione, M.; Mejari, M.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

dynoNet: A neural network architecture for learning dynamical systems

International Journal of Adaptive Control and Signal Processing
2021 | Journal article
DOI: 10.1002/acs.3216
EID:

2-s2.0-85099336005

Part of ISSN: 10991115 08906327
Contributors: Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Continuous-time system identification with neural networks: Model structures and fitting criteria

arXiv
2020 | Other
EID:

2-s2.0-85095371190

Part of ISSN: 23318422
Contributors: Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Continuous-time system identification with neural networks: Model structures and fitting criteria

arXiv
2020 | Other
DOI: 10.48550/arxiv.2006.02915
EID:

2-s2.0-85169221035

Part of ISSN: 23318422
Contributors: Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

dynoNet: A neural network architecture for learning dynamical systems

arXiv
2020 | Other
EID:

2-s2.0-85095262158

Part of ISSN: 23318422
Contributors: Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

dynoNet: A neural network architecture for learning dynamical systems

arXiv
2020 | Other
DOI: 10.48550/arxiv.2006.02250
EID:

2-s2.0-85171311426

Part of ISSN: 23318422
Contributors: Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Efficient calibration of embedded MPC

IFAC-PapersOnLine
2020 | Conference paper
DOI: 10.1016/j.ifacol.2020.12.1188
EID:

2-s2.0-85089860108

Part of ISSN: 24058963
Contributors: Forgione, M.; Piga, D.; Bemporad, A.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Integrated Neural Networks for Nonlinear Continuous-Time System Identification

IEEE Control Systems Letters
2020 | Journal article
DOI: 10.1109/LCSYS.2020.2994806
EID:

2-s2.0-85086228010

Part of ISSN: 24751456
Contributors: Mavkov, B.; Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Model Structures and Fitting Criteria for System Identification with Neural Networks

14th IEEE International Conference on Application of Information and Communication Technologies, AICT 2020 - Proceedings
2020 | Conference paper
DOI: 10.1109/AICT50176.2020.9368834
EID:

2-s2.0-85102058578
Contributors: Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

One-Stage Auto-Tuning Procedure of Robot Dynamics and Control Parameters for Trajectory Tracking Applications

2020 17th International Conference on Ubiquitous Robots, UR 2020
2020 | Conference paper
DOI: 10.1109/UR49135.2020.9144761
EID:

2-s2.0-85094321567
Contributors: Roveda, L.; Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Robot control parameters auto-tuning in trajectory tracking applications

Control Engineering Practice
2020 | Journal article
DOI: 10.1016/j.conengprac.2020.104488
EID:

2-s2.0-85086081052

Part of ISSN: 09670661
Contributors: Roveda, L.; Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Two-stage robot controller auto-tuning methodology for trajectory tracking applications

IFAC-PapersOnLine
2020 | Conference paper
DOI: 10.1016/j.ifacol.2020.12.276
EID:

2-s2.0-85094379232

Part of ISSN: 24058963
Contributors: Roveda, L.; Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Efficient calibration of embedded MPC

arXiv
2019 | Other
EID:

2-s2.0-85094420105

Part of ISSN: 23318422
Contributors: Forgione, M.; Piga, D.; Bemporad, A.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Efficient calibration of embedded MPC

arXiv
2019 | Other
DOI: 10.48550/arxiv.1911.13021
EID:

2-s2.0-85169627984

Part of ISSN: 23318422
Contributors: Forgione, M.; Piga, D.; Bemporad, A.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Model structures and fitting criteria for system identification with neural networks

arXiv
2019 | Other
EID:

2-s2.0-85094015643

Part of ISSN: 23318422
Contributors: Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Model structures and fitting criteria for system identification with neural networks

arXiv
2019 | Other
DOI: 10.48550/arxiv.1911.13034
EID:

2-s2.0-85170769261

Part of ISSN: 23318422
Contributors: Forgione, M.; Piga, D.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Performance-oriented model learning for data-driven mpc design

IEEE Control Systems Letters
2019 | Journal article
DOI: 10.1109/LCSYS.2019.2913347
EID:

2-s2.0-85065402962

Part of ISSN: 24751456
Contributors: Piga, D.; Forgione, M.; Formentin, S.; Bemporad, A.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier

Performance-oriented model learning for data-driven MPC design

arXiv
2019 | Other
EID:

2-s2.0-85093719882

Part of ISSN: 23318422
Contributors: Piga, D.; Forgione, M.; Formentin, S.; Bemporad, A.
Source: Self-asserted source
Marco Forgione via Scopus - Elsevier
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