3 citations · 8 across the 6 of their papers we have counts for
7 papers
Deep Reinforcement Learning to Maximize Arterial Usage during Extreme Congestion
Ashutosh Dutta, Milan Jain, Arif Khan +1
Collisions, crashes, and other incidents on road networks, if left unmitigated, can potentially cause cascading failures that can affect large parts of the system. Timely handling…
A clustering-based biased Monte Carlo approach to protein titration curve prediction
Arun V. Sathanur, Nathan A. Baker
In this work, we developed an efficient approach to compute ensemble averages in systems with pairwise-additive energetic interactions between the entities. Methods involving full…
Street-level Travel-time Estimation via Aggregated Uber Data
Kelsey Maass, Arun V Sathanur, Arif Khan +1
Estimating temporal patterns in travel times along road segments in urban settings is of central importance to traffic engineers and city planners. In this work, we propose a metho…
Scaling Submodular Optimization Approaches for Control Applications in Networked Systems
Arun V Sathanur
Often times, in many design problems, there is a need to select a small set of informative or representative elements from a large ground set of entities in an optimal fashion. Sub…
Local homology of abstract simplicial complexes
Michael Robinson, Chris Capraro, Cliff Joslyn +4
This survey describes some useful properties of the local homology of abstract simplicial complexes. Although the existing literature on local homology is somewhat dispersed, it is…
When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes
Arun V. Sathanur, Sutanay Choudhury, Cliff Joslyn +1
Property graphs can be used to represent heterogeneous networks with labeled (attributed) vertices and edges. Given a property graph, simulating another graph with same or greater…