Marco Forgione

1. On the adaptation of recurrent neural networks for system identification
   2022/01/21 by Marco Forgione, Forgione, Marco, Aneri Muni +5 · 4 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Systems and Control (eess.SY) #Target Tracking and Data Fusion in Sensor Networks #electronic engineering #information engineering
2. Model order reduction of deep structured state-space models: A system-theoretic approach
   2024/03/21 by Marco Forgione, Manas Mejari, Forgione, Marco +3 · 4 citations
   Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Electrical engineering #Fuel Cells and Related Materials #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Systems and Control (eess.SY) #electronic engineering #information engineering
3. Model structures and fitting criteria for system identification with\n neural networks
   2019/11/29 by Marco Forgione, Dario Piga, Forgione, Marco +1 · 1 citation
   Computer Science · Engineering · Physics and Astronomy · #Control Systems and Identification #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Systems and Control (eess.SY) #electronic engineering #information engineering
4. Deep learning with transfer functions: new applications in system\n identification
   2021/04/20 by Dario Piga, Piga, Dario, Marco Forgione +3 · 1 citation
   Computer Science · Physics and Astronomy · Engineering · #Neural Networks and Applications #Model Reduction and Neural Networks #Control Systems and Identification
5. Learning neural state-space models: do we need a state estimator?
   2022/06/26 by Marco Forgione, Forgione, Marco, Manas Mejari +3 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Neural Networks and Applications #Neural Networks and Reservoir Computing #Systems and Control (eess.SY) #electronic engineering #information engineering
6. The Duality of Generative AI and Reinforcement Learning in Robotics: A Review
   2024/10/21 by Angelo Moroncelli, Vishal Dineshkumar Soni, Moroncelli, Angelo +9 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
7. RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling
   2024/09/18 by Marwa Bazzi, Asad Ali Shahid, Bazzi, Manuel Bianchi +15 · 1 citation
   Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Robotics (cs.RO) #Time Series Analysis and Forecasting
8. Variational meta-learning inference for low dimensional neural system identification
   2026/07/21 by Matteo Rufolo, Dario Piga, Marco Forgione
   #cs.LG #cs.AI #cs.SY #eess.SY