13 citations · 26 across the 4 of their papers we have counts for
5 papers
Maxwells Demon: Controlling Entropy via Discrete Ricci Flow Over Networks
Romeil Sandhu, Ji Liu
In this work, we propose to utilize discrete graph Ricci flow to alter network entropy through feedback control. Given such feedback input can reverse entropic changes, we adapt th…
An Interactive Control Approach to 3D Shape Reconstruction
Bipul Islam, Ji Liu, Anthony Yezzi +1
The ability to accurately reconstruct the 3D facets of a scene is one of the key problems in robotic vision. However, even with recent advances with machine learning, there is no h…
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning
Yixuan Lin, Kaiqing Zhang, Zhuoran Yang +4
This paper considers a distributed reinforcement learning problem in which a network of multiple agents aim to cooperatively maximize the globally averaged return through communica…
Market Fragility, Systemic Risk, and Ricci Curvature
Romeil Sandhu, Tryphon Georgiou, Allen Tannenbaum
Measuring systemic risk or fragility of financial systems is a ubiquitous task of fundamental importance in analyzing market efficiency, portfolio allocation, and containment of fi…
Graph Curvature and the Robustness of Cancer Networks
Allen Tannenbaum, Chris Sander, Liangjia Zhu +5
The importance of studying properties of networks is manifest in diverse fields ranging from biology, engineering, physics, chemistry, neuroscience, and medicine. The functionality…