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D. Piga

28 papers hereh-index 333.6k citations184 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author9
  • last author15

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • cs.LG13
  • math.OC7
  • eess.SY5
  • stat.ML2
  • cs.RO1
same name
  • D. Piga — 21 papers, h 6
  • D. Piga — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedPerformance-oriented model learning for data-driven MPC design

140 citations · 401 across the 23 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.RO2022

Visual Servoing with Geometrically Interpretable Neural Perception

Antonio Paolillo, Mirko Nava, Dario Piga +1

An increasing number of nonspecialist robotic users demand easy-to-use machines. In the context of visual servoing, the removal of explicit image processing is becoming a trend, al…

eess.SY2022

Direct identification of continuous-time linear switched state-space models

Manas Mejari, Dario Piga

This paper presents an algorithm for direct continuous-time (CT) identification of linear switched state-space (LSS) models. The key idea for direct CT identification is based on a…

cs.LG2022★ 10 cited

Learning neural state-space models: do we need a state estimator?

Marco Forgione, Manas Mejari, Dario Piga

In recent years, several algorithms for system identification with neural state-space models have been introduced. Most of the proposed approaches are aimed at reducing the computa…

cs.LG2022★ 2 cited

On the adaptation of recurrent neural networks for system identification

Marco Forgione, Aneri Muni, Dario Piga +1

This paper presents a transfer learning approach which enables fast and efficient adaptation of Recurrent Neural Network (RNN) models of dynamical systems. A nominal RNN model is f…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.