67 citations · 101 across the 62 of their papers we have counts for
7 papers · 1 filter
Trust-aware Control for Intelligent Transportation Systems
Mingxi Cheng, Junyao Zhang, Shahin Nazarian +2
Many intelligent transportation systems are multi-agent systems, i.e., both the traffic participants and the subsystems within the transportation infrastructure can be modeled as i…
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta, Xiongye Xiao, Paul Bogdan
The solution of a partial differential equation can be obtained by computing the inverse operator map between the input and the solution space. Towards this end, we introduce a \te…
Non-Markovian Reinforcement Learning using Fractional Dynamics
Gaurav Gupta, Chenzhong Yin, Jyotirmoy V. Deshmukh +1
Reinforcement learning (RL) is a technique to learn the control policy for an agent that interacts with a stochastic environment. In any given state, the agent takes some action, a…
Minimum Structural Sensor Placement for Switched Linear Time-Invariant Systems and Unknown Inputs
Emily A. Reed, Guilherme Ramos, Paul Bogdan +1
In this paper, we study the structural state and input observability of continuous-time switched linear time-invariant systems and unknown inputs. First, we provide necessary and s…
A scalable distributed dynamical systems approach to compute the strongly connected components and diameter of networks
Emily A. Reed, Guilherme Ramos, Paul Bogdan +1
Finding strongly connected components (SCCs) and the diameter of a directed network play a key role in a variety of discrete optimization problems, and subsequently, machine learni…
Learning Hyperbolic Representations of Topological Features
Panagiotis Kyriakis, Iordanis Fostiropoulos, Paul Bogdan
Learning task-specific representations of persistence diagrams is an important problem in topological data analysis and machine learning. However, current state of the art methods…