Dario Piga

1. On the adaptation of recurrent neural networks for system identification
   2022/01/21 by Marco Forgione, Aneri Muni, Forgione, Marco +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. Preference-based MPC calibration
   2020/03/25 by Mengjia Zhu, Zhu, Mengjia, Alberto Bemporad +3 · 2 citations
   Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Mathematics #Formal Methods in Verification #Optimization and Control (math.OC) #Process Optimization and Integration
3. Model order reduction of deep structured state-space models: A system-theoretic approach
   2024/03/21 by Marco Forgione, Manas Mejari, Forgione, Marco +3 · 3 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
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. RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling
   2024/09/18 by Marwa Bazzi, Bazzi, Manuel Bianchi, Asad Ali Shahid +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
7. The Duality of Generative AI and Reinforcement Learning in Robotics: A Review
   2024/10/21 by Angelo Moroncelli, Vishal Dineshkumar Soni, Moroncelli, Angelo +9 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
8. Learning reduced-order latent linear models for Kalman filtering of nonlinear systems
   2026/07/15 by Manas Mejari, Milad Banitalebi Dehkordi, Dario Piga
   #eess.SY #cs.SY
9. Joint State-Parameter Inference Enhances Estimation Performance in Model-Based Digital Therapeutics for Type 1 Diabetes
   2026/07/29 by Milad Banitalebi Dehkordi, Vihangkumar V. Naik, Manas Mejari +2
   Engineering · Computer Science · #eess.SY #cs.SY
10. 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