activity
20122019
most citedGraph Curvature and the Robustness of Cancer Networks

13 citations · 37 across the 8 of their papers we have counts for

collaborators

10 papers

eess.SY2019

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…

cs.CV2019

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…

cs.LG2019★ 2 cited

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…

eess.SY2017

Characterizing Distances of Networks on the Tensor Manifold

Bipul Islam, Ji Liu, Romeil Sandhu

At the core of understanding dynamical systems is the ability to maintain and control the systems behavior that includes notions of robustness, heterogeneity, or regime-shift detec…

cs.CV2016★ 3 cited

Interactive Image Segmentation From A Feedback Control Perspective

Liangjia Zhu, Peter Karasev, Ivan Kolesov +2

Image segmentation is a fundamental problem in computational vision and medical imaging. Designing a generic, automated method that works for various objects and imaging modalities…

q-bio.MN2016

A Quantitative Analysis of Localized Robustness of MYCN in Neuroblastoma

Romeil Sandhu, Sarah Tannenbaum, Daniel Diolaiti +3

The amplification of the gene MYCN (V-myc myelocytomatosis viral-valeted oncogene, neuroblastoma derived) has been a well-documented indicator for poor prognosis in neuroblastoma,…

q-bio.MN2015★ 3 cited

An Analytical Approach for Insulin-like Growth Factor Receptor 1 and Mammalian Target of Rapamycin Blockades in Ewing Sarcoma

Romeil Sandhu, Salah-Eddine Lamhamedi-Cherradi, Sarah Tannenbaum +2

We present preliminary results that quantify network robustness and fragility of Ewing sarcoma (ES), a rare pediatric bone cancer that often exhibits de novo or acquired drug resis…

q-fin.RM2015★ 11 cited

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…

q-bio.MN2015★ 13 cited

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…

cs.CG2012★ 5 cited

Volumetric Mapping of Genus Zero Objects via Mass Preservation

Romeil Sandhu, Ayelet Dominitz, Yi Gao +1

In this work, we present a technique to map any genus zero solid object onto a hexahedral decomposition of a solid cube. This problem appears in many applications ranging from fini…