most citedSafe Interactive Model-Based Learning

10 citations · 24 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20208 cited

Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs

Giorgio Giannone, Asha Anoosheh, Alessio Quaglino +3

Event-based cameras are novel, efficient sensors inspired by the human vision system, generating an asynchronous, pixel-wise stream of data. Learning from such data is generally pe…

math.OC20206 cited

Infinite-Horizon Differentiable Model Predictive Control

Sebastian East, Marco Gallieri, Jonathan Masci +2

This paper proposes a differentiable linear quadratic Model Predictive Control (MPC) framework for safe imitation learning. The infinite-horizon cost is enforced using a terminal c…

eess.SY201910 cited

Safe Interactive Model-Based Learning

Marco Gallieri, Seyed Sina Mirrazavi Salehian, Nihat Engin Toklu +4

Control applications present hard operational constraints. A violation of these can result in unsafe behavior. This paper introduces Safe Interactive Model Based Learning (SiMBL),…

cs.NE2019

Tustin neural networks: a class of recurrent nets for adaptive MPC of mechanical systems

Simone Pozzoli, Marco Gallieri, Riccardo Scattolini

The use of recurrent neural networks to represent the dynamics of unstable systems is difficult due to the need to properly initialize their internal states, which in most of the c…

cs.NE2019

SNODE: Spectral Discretization of Neural ODEs for System Identification

Alessio Quaglino, Marco Gallieri, Jonathan Masci +1

This paper proposes the use of spectral element methods \citep{canuto_spectral_1988} for fast and accurate training of Neural Ordinary Differential Equations (ODE-Nets; \citealp{Ch…