research
∙
09/05/2023
Causal Structure Recovery of Linear Dynamical Systems: An FFT based Approach
Learning causal effects from data is a fundamental and well-studied prob...
share
research
∙
08/31/2023
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs
In this article, the optimal sample complexity of learning the underlyin...
research
∙
11/11/2022
Distributed Average Consensus Over Noisy Communication Links in Directed Graphs
Motivated by the needs of resiliency, scalability, and plug-and-play ope...
research
∙
08/22/2022
Scalable Hybrid Classification-Regression Solution for High-Frequency Nonintrusive Load Monitoring
Residential buildings with the ability to monitor and control their net-...
research
∙
07/26/2020
Convex Decreasing Algorithms: Distributed Synthesis and Finite-time Termination in Higher Dimension
We introduce a general mathematical framework for distributed algorithms...
research
∙
09/22/2019
Gradient-Consensus Method for Distributed Optimization in Directed Multi-Agent Networks
In this article, a distributed optimization problem for minimizing a sum...
research
∙
08/30/2019
Distributed finite-time termination for consensus algorithm in switching topologies
In this article, we present a finite time stopping criterion for consens...
research
∙
09/27/2018
Physics Informed Topology Learning in Networks of Linear Dynamical Systems
Learning influence pathways of a network of dynamically related processe...
research
∙
05/29/2018
Error Bounds on a Mixed Entropy Inequality
Motivated by the entropy computations relevant to the evaluation of decr...
research
∙
05/29/2018
