39 citations · 157 across the 35 of their papers we have counts for
9 papers · 1 filter
Inferring Relational Potentials in Interacting Systems
Armand Comas-Massagué, Yilun Du, Christian Fernandez +4
Systems consisting of interacting agents are prevalent in the world, ranging from dynamical systems in physics to complex biological networks. To build systems which can interact r…
Data-Driven Superstabilization of Linear Systems under Quantization
Jared Miller, Jian Zheng, Mario Sznaier +1
This paper focuses on the stabilization and regulation of linear systems affected by quantization in state-transition data and actuated input. The observed data are composed of tup…
Cross-view Action Recognition via Contrastive View-invariant Representation
Yuexi Zhang, Dan Luo, Balaji Sundareshan +2
Cross view action recognition (CVAR) seeks to recognize a human action when observed from a previously unseen viewpoint. This is a challenging problem since the appearance of an ac…
Peak Estimation of Time Delay Systems using Occupation Measures
Jared Miller, Milan Korda, Victor Magron +1
This work proposes a method to compute the maximum value obtained by a state function along trajectories of a Delay Differential Equation (DDE). An example of this task is finding…
Data-Driven Control of Positive Linear Systems using Linear Programming
Jared Miller, Tianyu Dai, Mario Sznaier +1
This paper presents a linear-programming based algorithm to perform data-driven stabilizing control of linear positive systems. A set of state-input-transition observations is coll…
Peak Estimation of Hybrid Systems with Convex Optimization
Jared Miller, Mario Sznaier
Peak estimation of hybrid systems aims to upper bound extreme values of a state function along trajectories, where this state function could be different in each subsystem. This fi…
Robust Data-Driven Safe Control using Density Functions
Jian Zheng, Tianyu Dai, Jared Miller +1
This paper presents a tractable framework for data-driven synthesis of robustly safe control laws. Given noisy experimental data and some priors about the structure of the system,…
Peak Value-at-Risk Estimation of Stochastic Processes using Occupation Measures
Jared Miller, Matteo Tacchi, Mario Sznaier +1
This paper formulates algorithms to upper-bound the maximum Value-at-Risk (VaR) of a state function along trajectories of stochastic processes. The VaR is upper bounded by two meth…
Quantifying the Safety of Trajectories using Peak-Minimizing Control
Jared Miller, Mario Sznaier
This work quantifies the safety of trajectories of a dynamical system by the perturbation intensity required to render a system unsafe (crash into the unsafe set). Computation of t…