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Arun V. Sathanur
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2020 – today
- 2023
- [i5]Ashutosh Dutta, Milan Jain, Arif Khan, Arun V. Sathanur:
Deep Reinforcement Learning to Maximize Arterial Usage during Extreme Congestion. CoRR abs/2305.09600 (2023) - 2022
- [c23]Arun V. Sathanur, Nathan R. Tallent, Patrick Konsor, Ken Koyanagi, Ryan McLaughlin, Joseph Olivas, Michael Chynoweth:
QuaL2 M: Learning Quantitative Performance of Latency-Sensitive Code. IPDPS Workshops 2022: 913-923 - 2021
- [c22]Milan Jain
, Khushboo Gupta, Arun V. Sathanur, Vikas Chandan, Mahantesh Halappanavar:
Transfer-Learnt Models for Predicting Electricity Consumption in Buildings with Limited and Sparse Field Data. ACC 2021: 2887-2894 - [c21]Arun V. Sathanur, Arif M. Khan:
Scalable Approaches to Selecting Key Entities in Large Networked Infrastructure Systems. IEEE BigData 2021: 1731-1738 - 2020
- [c20]Arun V. Sathanur, Nathan A. Baker:
A clustering-based biased Monte Carlo approach to protein titration curve prediction. ICMLA 2020: 179-184 - [c19]Kelsey Maass, Arun V. Sathanur, Arif Khan, Robert Rallo:
Street-level Travel-time Estimation via Aggregated Uber Data. CSC 2020: 76-84 - [i4]Kelsey Maass, Arun V. Sathanur, Arif Khan, Robert Rallo:
Street-level Travel-time Estimation via Aggregated Uber Data. CoRR abs/2001.04533 (2020)
2010 – 2019
- 2019
- [c18]Marco Minutoli
, Mahantesh Halappanavar, Ananth Kalyanaraman, Arun V. Sathanur, Ryan S. McClure, Jason E. McDermott:
Fast and Scalable Implementations of Influence Maximization Algorithms. CLUSTER 2019: 1-12 - 2018
- [j1]Craig Bakker
, Mahantesh Halappanavar, Arun V. Sathanur:
Dynamic graphs, community detection, and Riemannian geometry. Appl. Netw. Sci. 3(1): 3:1-3:30 (2018) - [c17]Tanveer Hossain Bhuiyan
, Mahantesh Halappanavar, Ryan D. Friese, Hugh R. Medal, Luis de la Torre
, Arun V. Sathanur, Nathan R. Tallent
:
Stochastic Programming Approach for Resource Selection Under Demand Uncertainty. JSSPP 2018: 107-126 - [p1]Arun V. Sathanur, Mahantesh Halappanavar, Yi Shi, Yalin E. Sagduyu:
Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks. Social Network Based Big Data Analysis and Applications 2018: 123-142 - [i3]Arun V. Sathanur:
Scaling Submodular Optimization Approaches for Control Applications in Networked Systems. CoRR abs/1810.02837 (2018) - 2017
- [c16]Arun V. Sathanur, Sutanay Choudhury, Cliff A. Joslyn
, Sumit Purohit:
When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes. CIKM 2017: 2287-2290 - [c15]Ryan D. Friese
, Mahantesh Halappanavar, Arun V. Sathanur, Malachi Schram, Darren J. Kerbyson, Luis de la Torre
:
Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties. JSSPP 2017: 103-121 - [i2]Arun V. Sathanur, Mahantesh Halappanavar, Yi Shi, Yalin E. Sagduyu:
Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks. CoRR abs/1707.05287 (2017) - [i1]Arun V. Sathanur, Sutanay Choudhury, Cliff A. Joslyn, Sumit Purohit:
When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes. CoRR abs/1709.02339 (2017) - 2016
- [c14]Mahantesh Halappanavar, Arun V. Sathanur, Apurba K. Nandi:
Accelerating the mining of influential nodes in complex networks through community detection. Conf. Computing Frontiers 2016: 64-71 - [c13]Arun V. Sathanur, Mahantesh Halappanavar:
Influence Maximization on Complex Networks with Intrinsic Nodal Activation. SocInfo (2) 2016: 133-141 - 2015
- [c12]Chase P. Dowling, Joshua J. Harrison, Arun V. Sathanur, Landon H. Sego, Courtney D. Corley:
Social sensor analytics: Making sense of network models in social media. ISI 2015: 144-147 - [c11]Andrei B. Khlopotine, Arun V. Sathanur, Vikram Jandhyala:
Optimized Parallel Label Propagation Based Community Detection on the Intel(R) Xeon Phi(TM) Architecture. SBAC-PAD 2015: 9-16 - 2014
- [c10]Arun V. Sathanur, Miao Sui, Vikram Jandhyala, Michael D. Tyka, Nicole A. Deflaux:
Simulating context-driven activity cascades in online social networks on the google exacycle platform. SMC 2014: 1388-1391 - [c9]Arun V. Sathanur, Vikram Jandhyala:
An activity-based information-theoretic annotation of social graphs. WebSci 2014: 187-191 - 2013
- [c8]Arun V. Sathanur, Vikram Jandhyala, Chuanjia Xing:
Capturing signatures of anomalous behavior in online social networks. ISI 2013: 327-329 - [c7]Arun V. Sathanur, Vikram Jandhyala, Chuanjia Xing:
PHYSENSE: Scalable sociological interaction models for influence estimation on online social networks. ISI 2013: 358-363 - 2012
- [c6]Vikram Jandhyala, Arun V. Sathanur:
Design strategies for high-dimensional electromagnetic systems. ICCAD 2012: 498 - 2010
- [c5]Ritochit Chakraborty, Arun V. Sathanur, Vikram Jandhyala:
Towards Active-Passive Co-synthesis of Multi-gigaHertz Radio Frequency Circuits. VLSI Design 2010: 381-386
2000 – 2009
- 2009
- [c4]Ritochit Chakraborty, Arun V. Sathanur, Vikram Jandhyala:
Active-passive co-synthesis of multi-GigaHertz radio frequency circuits with broadband parametric macromodels of on-chip passives. ICCAD 2009: 759-766 - 2008
- [c3]Arun V. Sathanur, Ritochit Chakraborty, Vikram Jandhyala:
Accurate statistical analysis of a differential low noise amplifier using a combined SPICE-field solver approach. ISCAS 2008: 884-887 - 2007
- [c2]Arun V. Sathanur, Ritochit Chakraborty, Vikram Jandhyala:
Statistical analysis of RF circuits using combined circuit simulator-full wave field solver approach. ICCAD 2007: 11-17 - 2006
- [c1]Arun V. Sathanur, Sridhar Gangadharpalli, V. Sridhar:
Application Layer Packet Merging to Improve Call Capacity in a 802.11 Based Intercom. ICNS 2006: 91
Coauthor Index
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