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ORCIDMadhav V. Marathe
Madhav Vinayak Marathe
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- affiliation: Virginia Tech, Blacksburg, VA, USA
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2020 – today
- 2022
[j83]Daniel J. Rosenkrantz, Anil Vullikanti
, S. S. Ravi, Richard Edwin Stearns, Simon A. Levin, H. Vincent Poor, Madhav V. Marathe:
Fundamental limitations on efficiently forecasting certain epidemic measures in network models. Proc. Natl. Acad. Sci. USA 119(4): e2109228119 (2022)- [c219]Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav V. Marathe:
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting. AAAI 2022: 12191-12199 - [c218]Zakaria Mehrab, Mandy L. Wilson, Serina Chang, Galen Harrison, Bryan L. Lewis, Alex Telionis, Justin Crow, Dennis Kim, Scott Spillmann, Kate Peters, Jure Leskovec, Madhav V. Marathe:
Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites. AAAI 2022: 12573-12579 - [c217]George Z. Li, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti:
Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response. AAMAS 2022: 789-797 - [c216]Kazi Ashik Islam, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti:
Data-driven Agent-based Models for Optimal Evacuation of Large Metropolitan Areas for Improved Disaster Planning. AAMAS 2022: 1639-1641 - [c215]George Z. Li, Arash Haddadan, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Anil Vullikanti, Zeyu Zhao:
Theoretical Models and Preliminary Results for Contact Tracing and Isolation. AAMAS 2022: 1672-1674 - [c214]Rounak Meyur, Swapna Thorve, Madhav V. Marathe, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit:
A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles. IJCAI 2022: 5115-5121 - [i29]George Z. Li, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti:
Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response. CoRR abs/2202.04705 (2022) - [i28]Rounak Meyur, Swapna Thorve, Madhav V. Marathe, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit:
A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles. CoRR abs/2202.07092 (2022) - 2021
- [c213]Daniel J. Rosenkrantz, Madhav V. Marathe, S. S. Ravi, Richard Edwin Stearns:
Synchronous Dynamical Systems on Directed Acyclic Graphs: Complexity and Algorithms. AAAI 2021: 11334-11342 - [c212]Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe:
Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway. AAMAS 2021: 1680-1682 - [c211]Parantapa Bhattacharya, Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan L. Lewis, Henning S. Mortveit, Srinivasan Venkatramanan, Mandy L. Wilson, Achla Marathe, Przemyslaw Porebski, Brian Klahn, Joseph Outten, Anil Vullikanti, Dawen Xie, Abhijin Adiga, Shawn Brown, Christopher L. Barrett, Madhav V. Marathe:
AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. IEEE BigData 2021: 1566-1574 - [c210]Abhijin Adiga, Nicholas Palmer, Sanchit Sinha, Penina Waghalter, Aniruddha Dave, Daniel Perez Lazarte, Thierry Brévault, Andrea Apolloni, Henning S. Mortveit, Young Yun Baek, Madhav V. Marathe:
Realistic Commodity Flow Networks to Assess Vulnerability of Food Systems. COMPLEX NETWORKS 2021: 168-179 - [c209]Dustin Machi, Parantapa Bhattacharya, Stefan Hoops, Jiangzhuo Chen, Henning S. Mortveit, Srinivasan Venkatramanan, Bryan L. Lewis, Mandy L. Wilson, Arindam Fadikar, Tom Maiden, Christopher L. Barrett, Madhav V. Marathe:
Scalable Epidemiological Workflows to Support COVID-19 Planning and Response. IPDPS 2021: 639-650 - [c208]Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw Porebski, Srinivasan Venkatramanan, Bryan Leroy Lewis, Madhav V. Marathe:
All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting. KDD 2021: 2505-2513 - [c207]Serina Chang, Mandy L. Wilson, Bryan L. Lewis, Zakaria Mehrab, Komal K. Dudakiya, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Madhav V. Marathe, Jure Leskovec:
Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling. KDD 2021: 2632-2642 - [c206]Stefan Hoops, Jiangzhuo Chen, Abhijin Adiga, Bryan L. Lewis, Henning S. Mortveit, Hannah Baek, Mandy L. Wilson, Dawen Xie, Samarth Swarup, Srinivasan Venkatramanan, Justin Crow, Elena Diskin, Seth Levine, Helen Tazelaar, Brooke Rossheim, Chris Ghaemmaghami, Rebecca Early, Chris Barrett, Madhav V. Marathe, Carter Price:
High Performance Agent-Based Modeling to Study Realistic Contact Tracing Protocols. WSC 2021: 1-12 - [c205]Benjamin Hurt, Aniruddha Adiga, Madhav V. Marathe, Christopher L. Barrett:
Informing University Covid-19 Decisions Using Simple Compartmental Models. WSC 2021: 1-12 - [i27]Jacob Ritchie, Mark E. Whiting, Sorathan Chaturapruek, J. D. Zamfirescu-Pereira, Madhav V. Marathe, Achla Marathe, Stephen G. Eubank, Michael S. Bernstein:
Crowdsourcing County-Level Data on Early COVID-19 Policy Interventions in the United States: Technical Report. CoRR abs/2112.08279 (2021) - [i26]George Z. Li, Arash Haddadan, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Anil Vullikanti, Zeyu Zhao:
A Markov Decision Process Framework for Efficient and Implementable Contact Tracing and Isolation. CoRR abs/2112.15547 (2021) - 2020
- [j82]Vanessa Cedeno-Mieles, Zhihao Hu, Yihui Ren, Xinwei Deng, Abhijin Adiga, Christopher L. Barrett, Noshir Contractor, Saliya Ekanayake, Joshua M. Epstein, Brian J. Goode, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Michael W. Macy, Madhav V. Marathe, Naren Ramakrishnan, S. S. Ravi, Parang Saraf, Nathan Self:
Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework. Soc. Netw. Anal. Min. 10(1): 11 (2020) - [j81]Shaikh Arifuzzaman, Maleq Khan, Madhav V. Marathe:
Fast Parallel Algorithms for Counting and Listing Triangles in Big Graphs. ACM Trans. Knowl. Discov. Data 14(1): 5:1-5:34 (2020) - [j80]Md. Maksudul Alam, Maleq Khan, Kalyan S. Perumalla, Madhav V. Marathe:
Generating Massive Scale-free Networks: Novel Parallel Algorithms using the Preferential Attachment Model. ACM Trans. Parallel Comput. 7(2): 13:1-13:35 (2020) - [j79]Lijing Wang, Jiangzhuo Chen, Madhav V. Marathe:
TDEFSI: Theory-guided Deep Learning-based Epidemic Forecasting with Synthetic Information. ACM Trans. Spatial Algorithms Syst. 6(3): 15:1-15:39 (2020) - [c204]Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems. AAAI 2020: 3138-3145 - [c203]Rounak Meyur, Madhav V. Marathe, Anil Vullikanti, Henning S. Mortveit, Samarth Swarup, Virgilio Centeno, Arun G. Phadke:
Creating Realistic Power Distribution Networks using Interdependent Road Infrastructure. IEEE BigData 2020: 1226-1235 - [c202]Kazi Ashik Islam, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti:
A Simulation-based Approach for Large-scale Evacuation Planning. IEEE BigData 2020: 1338-1345 - [c201]Akhil Sai Peddireddy, Dawen Xie, Pramod Patil, Mandy L. Wilson, Dustin Machi, Srinivasan Venkatramanan, Brian Klahn, Przemyslaw Porebski, Parantapa Bhattacharya, Shirish Dumbre, Erin Raymond, Madhav V. Marathe:
From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance. IEEE BigData 2020: 1380-1387 - [c200]Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe:
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. IEEE BigData 2020: 3846-3855 - [c199]Henry L. Carscadden, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz:
Blocking the Propagation of Two Simultaneous Contagions over Networks. COMPLEX NETWORKS (1) 2020: 455-468 - [c198]Joshua D. Priest, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns:
Evolution of Similar Configurations in Graph Dynamical Systems. COMPLEX NETWORKS (1) 2020: 544-555 - [c197]Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav V. Marathe:
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. NeurIPS 2020 - [c196]Madhav V. Marathe:
High Performance Simulations to Support Real-time COVID19 Response. SIGSIM-PADS 2020: 157 - [i25]Rounak Meyur, Madhav V. Marathe, Anil Vullikanti, Henning S. Mortveit, Virgilio Centeno, Arun G. Phadke:
Creating Realistic Synthetic Power Distribution Networks based on Interdependent Road Infrastructure. CoRR abs/2001.09130 (2020) - [i24]Lijing Wang, Jiangzhuo Chen, Madhav V. Marathe:
TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information. CoRR abs/2002.04663 (2020) - [i23]Aniruddha Adiga, Devdatt P. Dubhashi, Bryan L. Lewis, Madhav V. Marathe, Srinivasan Venkatramanan, Anil Vullikanti:
Models for COVID-19 Pandemic: A Comparative Analysis. CoRR abs/2009.10014 (2020) - [i22]Langshi Chen, Jiayu Li, Ariful Azad, Cenk Sahinalp, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu:
SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting. CoRR abs/2009.11665 (2020) - [i21]Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe:
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. CoRR abs/2010.14491 (2020) - [i20]Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav V. Marathe:
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. CoRR abs/2011.06796 (2020) - [i19]Elizabeth Bradley, Madhav V. Marathe, Melanie Moses, William D. Gropp, Daniel Lopresti:
Pandemic Informatics: Preparation, Robustness, and Resilience. CoRR abs/2012.09300 (2020) - [i18]Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe:
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway. CoRR abs/2012.12839 (2020)
2010 – 2019
- 2019
- [j78]Daniel J. Rosenkrantz, Madhav V. Marathe, S. S. Ravi, Richard Edwin Stearns:
Symmetry Properties of Nested Canalyzing Functions. Discret. Math. Theor. Comput. Sci. 21(4) (2019) - [j77]Srinivasan Venkatramanan, Jiangzhuo Chen, Arindam Fadikar, Sandeep Gupta, Dave Higdon, Bryan L. Lewis, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti:
Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints. PLoS Comput. Biol. 15(9) (2019) - [j76]Prashant Rangarajan, Sandeep K. Mody, Madhav V. Marathe:
Forecasting dengue and influenza incidences using a sparse representation of Google trends, electronic health records, and time series data. PLoS Comput. Biol. 15(11) (2019) - [c195]Lijing Wang, Jiangzhuo Chen, Madhav V. Marathe:
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information. AAAI 2019: 9607-9612 - [c194]Vanessa Cedeno-Mieles, Zhihao Hu, Xinwei Deng, Yihui Ren, Abhijin Adiga, Christopher L. Barrett, Saliya Ekanayake, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, S. S. Ravi, Brian J. Goode, Naren Ramakrishnan, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy:
Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games. ASONAM 2019: 357-364 - [c193]Langshi Chen, Jiayu Li, Cenk Sahinalp, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu:
SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting. IEEE BigData 2019: 483-492 - [c192]Stephen G. Eubank, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti:
Modeling Urban Mobility Networks Using Constrained Labeled Sequences. COMPLEX NETWORKS (2) 2019: 955-966 - [c191]Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Anil Vullikanti:
PAC Learnability of Node Functions in Networked Dynamical Systems. ICML 2019: 82-91 - [c190]Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav V. Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha:
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. IPDPS Workshops 2019: 422-429 - [c189]Zhihao Hu, Dustin Machi, Madhav V. Marathe, S. S. Ravi, Yihui Ren, Vanessa Cedeno-Mieles, Saliya Ekanayake, Xinwei Deng, Brian J. Goode, Naren Ramakrishnan, Parang Saraf, Nathan Self, Abhijin Adiga, Gizem Korkmaz, Chris J. Kuhlman:
On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game. WSC 2019: 169-180 - [c188]Abhijin Adiga, Samarth Swarup, Anil Vullikanti, Christopher L. Barrett, Stephen G. Eubank, Chris J. Kuhlman, Madhav V. Marathe, Henning S. Mortveit, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns:
Validating Agent-Based Models of Large Networked Systems. WSC 2019: 2807-2818 - [i17]Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav V. Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha:
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. CoRR abs/1902.10810 (2019) - [i16]Langshi Chen, Jiayu Li, Ariful Azad, Lei Jiang, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu:
A GraphBLAS Approach for Subgraph Counting. CoRR abs/1903.04395 (2019) - [i15]Daniel J. Rosenkrantz, Madhav V. Marathe, S. S. Ravi, Richard Edwin Stearns:
Symmetry Properties of Nested Canalyzing Functions. CoRR abs/1906.03752 (2019) - 2018
- [j75]Swapna Thorve, Mandy L. Wilson, Bryan L. Lewis, Samarth Swarup, Anil Kumar S. Vullikanti, Madhav V. Marathe:
EpiViewer: an epidemiological application for exploring time series data. BMC Bioinform. 19(1): 449:1-449:10 (2018) - [j74]Richard Edwin Stearns, Daniel J. Rosenkrantz, S. S. Ravi, Madhav V. Marathe:
A characterization of nested canalyzing functions with maximum average sensitivity. Discret. Appl. Math. 251: 5-14 (2018) - [j73]Arindam Fadikar, Dave Higdon, Jiangzhuo Chen, Bryan L. Lewis, Srinivasan Venkatramanan, Madhav V. Marathe:
Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation. SIAM/ASA J. Uncertain. Quantification 6(4): 1685-1706 (2018) - [j72]Prithwish Chakraborty, Bryan L. Lewis, Stephen G. Eubank, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan:
What to know before forecasting the flu. PLoS Comput. Biol. 14(10) (2018) - [j71]Zhao Zhao, Langshi Chen, Mihai Avram, Meng Li, Guanying Wang, Ali Raza Butt, Maleq Khan, Madhav V. Marathe, Judy Qiu, Anil Vullikanti:
Finding and Counting Tree-Like Subgraphs Using MapReduce. IEEE Trans. Multi Scale Comput. Syst. 4(3): 217-230 (2018) - [j70]Christopher L. Barrett, Jeffrey Johnson, Madhav V. Marathe:
High Performance Synthetic Information Environments An integrating architecture in the age of pervasive data and computing: Big Data (Ubiquity symposium). Ubiquity 2018(March): 1:1-1:11 (2018) - [c187]Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns:
Learning the Behavior of a Dynamical System Via a "20 Questions" Approach. AAAI 2018: 4630-4637 - [c186]Yihui Ren, Vanessa Cedeno-Mieles, Zhihao Hu, Xinwei Deng, Abhijin Adiga, Christopher L. Barrett, Saliya Ekanayake, Brian J. Goode, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, Naren Ramakrishnan, S. S. Ravi, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy:
Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis. ASONAM 2018: 413-420 - [c185]Daniel J. Rosenkrantz, Madhav V. Marathe, S. S. Ravi, Richard Edwin Stearns:
Testing Phase Space Properties of Synchronous Dynamical Systems with Nested Canalyzing Local Functions. AAMAS 2018: 1585-1594 - [c184]Meghendra Singh, Achla Marathe, Madhav V. Marathe, Samarth Swarup:
Behavior Model Calibration for Epidemic Simulations. AAMAS 2018: 1640-1648 - [c183]Abhijin Adiga, Vanessa Cedeno-Mieles, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns:
Inferring Probabilistic Contagion Models Over Networks Using Active Queries. CIKM 2018: 377-386 - [c182]Rounak Meyur, Anil Vullikanti, Madhav V. Marathe, Anamitra Pal, Mina Youssef, Virgilio Centeno:
Cascading Effects of Targeted Attacks on the Power Grid. COMPLEX NETWORKS (1) 2018: 155-167 - [c181]Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns:
Using Active Queries to Learn Local Stochastic Behaviors in Social Networks. COMPLEX NETWORKS (2) 2018: 246-257 - [c180]Madhurima Nath, Srinivasan Venkatramanan, Bryan Kaperick, Stephen G. Eubank, Madhav V. Marathe, Achla Marathe, Abhijin Adiga:
Using Network Reliability to Understand International Food Trade Dynamics. COMPLEX NETWORKS (1) 2018: 524-535 - [c179]Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns:
Computational Aspects of Fault Location and Resilience Problems for Interdependent Infrastructure Networks. COMPLEX NETWORKS (1) 2018: 879-890 - [c178]Swapna Thorve, Samarth Swarup, Achla Marathe, Youngyun Chungbaek, Eric K. Nordberg, Madhav V. Marathe:
Simulating residential Energy demand in Urban and Rural areas. WSC 2018: 548-559 - [c177]Vanessa Cedeno-Mieles, Yihui Ren, Saliya Ekanayake, Brian J. Goode, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, Henning S. Mortveit, Zhihao Hu, Xinwei Deng, Naren Ramakrishnan, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy:
Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments. WSC 2018: 774-785 - [i14]Langshi Chen, Bo Peng, Sabra Ossen, Anil Vullikanti, Madhav V. Marathe, Lei Jiang, Judy Qiu:
High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication. CoRR abs/1804.09764 (2018) - 2017
- [j69]S. M. Shamimul Hasan, Edward A. Fox, Keith R. Bisset, Madhav V. Marathe:
EpiK: A Knowledge Base for Epidemiological Modeling and Analytics of Infectious Diseases. J. Heal. Informatics Res. 1(2): 260-303 (2017) - [j68]Md Hasanuzzaman Bhuiyan, Maleq Khan, Jiangzhuo Chen, Madhav V. Marathe:
Parallel algorithms for switching edges in heterogeneous graphs. J. Parallel Distributed Comput. 104: 19-35 (2017) - [j67]Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns:
Inferring local transition functions of discrete dynamical systems from observations of system behavior. Theor. Comput. Sci. 679: 126-144 (2017) - [c176]Nidhi Kiranbhai Parikh, Madhav V. Marathe, Samarth Swarup:
Contextual Ranking of Behaviors for Large-scale Multiagent Simulations. AAMAS 2017: 1676-1678 - [c175]Srinivasan Venkatramanan, Sichao Wu, Bowen Shi, Achla Marathe, Madhav V. Marathe, Stephen G. Eubank, Lalit P. Sah, A. P. Giri, Luke A. Colavito, K. S. Nitin, V. Sridhar, R. Asokan, Rangaswamy Muniappan, G. Norton, Abhijin Adiga:
Towards robust models of food flows and their role in invasive species spread. IEEE BigData 2017: 435-444 - [c174]Md Hasanuzzaman Bhuiyan, Maleq Khan, Madhav V. Marathe:
A parallel algorithm for generating a random graph with a prescribed degree sequence. IEEE BigData 2017: 3312-3321 - [c173]Abhinav Bhatele, Jae-Seung Yeom, Nikhil Jain, Chris J. Kuhlman, Yarden Livnat, Keith R. Bisset, Laxmikant V. Kalé, Madhav V. Marathe:
Massively Parallel Simulations of Spread of Infectious Diseases over Realistic Social Networks. CCGrid 2017: 689-694 - [c172]Farzaneh Tabataba, Bryan L. Lewis, Milad Hosseinipour, Foroogh S. Tabataba, Srinivasan Venkatramanan, Jiangzhuo Chen, Dave Higdon, Madhav V. Marathe:
Epidemic Forecasting Framework Combining Agent-Based Models and Smart Beam Particle Filtering. ICDM 2017: 1099-1104 - [c171]Srinivasan Venkatramanan, Jiangzhuo Chen, Sandeep Gupta, Bryan L. Lewis, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti:
Spatio-Temporal Optimization of Seasonal Vaccination Using a Metapopulation Model of Influenza. ICHI 2017: 134-143 - [c170]Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan:
GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources. KDD 2017: 1477-1485 - [c169]Md Hasanuzzaman Bhuiyan, Maleq Khan, Madhav V. Marathe:
Efficient algorithms for assortative edge switch in large labeled networks. SpringSim (HPC) 2017: 2:1-2:12 - [c168]Langshi Chen, Bo Peng, Sabra Ossen, Anil Vullikanti, Madhav V. Marathe, Lei Jiang, Judy Qiu:
High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication. TopHPC 2017: 173-197 - [c167]Richard M. Fujimoto, Christopher D. Carothers, Alois Ferscha, David Jefferson, Margaret L. Loper, Madhav V. Marathe, Simon J. E. Taylor:
Computational challenges in modeling & simulation of complex systems. WSC 2017: 431-445 - [r5]Christopher L. Barrett, Stephen G. Eubank, Bryan L. Lewis, Madhav V. Marathe:
Pandemics, Detection and Management. Encyclopedia of GIS 2017: 1547-1553 - [i13]Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan:
Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources. CoRR abs/1702.06663 (2017) - [i12]Farzaneh Sadat Tabataba, Prithwish Chakraborty, Naren Ramakrishnan, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe:
A Framework for Evaluating Epidemic Forecasts. CoRR abs/1703.09828 (2017) - [i11]Shaikh Arifuzzaman, Maleq Khan, Madhav V. Marathe:
Distributed-Memory Parallel Algorithms for Counting and Listing Triangles in Big Graphs. CoRR abs/1706.05151 (2017) - [i10]Md Hasanuzzaman Bhuiyan, Maleq Khan, Madhav V. Marathe:
A Parallel Algorithm for Generating a Random Graph with a Prescribed Degree Sequence. CoRR abs/1708.07290 (2017) - 2016
- [j66]Nidhi Kiranbhai Parikh, Harshal Hayatnagarkar, Richard J. Beckman, Madhav V. Marathe, Samarth Swarup:
A comparison of multiple behavior models in a simulation of the aftermath of an improvised nuclear detonation. Auton. Agents Multi Agent Syst. 30(6): 1148-1174 (2016) - [j65]V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Parthasarathy, Aravind Srinivasan:
Distributed Algorithms for End-to-End Packet Scheduling in Wireless Ad Hoc Networks. ACM Trans. Algorithms 12(3): 28:1-28:25 (2016) - [j64]Tridib Dutta, Lenwood S. Heath, V. S. Anil Kumar, Madhav V. Marathe:
Labeled cuts in graphs. Theor. Comput. Sci. 648: 34-39 (2016) - [c166]Nidhi Kiranbhai Parikh, Madhav V. Marathe, Samarth Swarup:
Integrating Behavior and Microsimulation Models. ABMUS@AAMAS 2016: 39-59 - [c165]Nidhi Kiranbhai Parikh, Madhav V. Marathe, Samarth Swarup:
Summarizing Simulation Results Using Causally-Relevant States. AAMAS Workshops (Visionary Papers) 2016: 88-103 - [c164]Nidhi Kiranbhai Parikh, Madhav V. Marathe, Samarth Swarup:
Simulation Summarization: (Extended Abstract). AAMAS 2016: 1451-1452 - [c163]Sherif Elmeligy Abdelhamid, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi:
Interactive exploration and understanding of contagion dynamics in networked populations. BESC 2016: 1-6 - [c162]Jiangzhuo Chen, V. S. Anil Kumar, Madhav V. Marathe, Ravi Sundaram, Mayur Thakur, Sunil Thulasidasan:
A study of the structure and vulnerabilities of metropolitan area networks. COMSNETS 2016: 1-8 - [c161]Sherif Hanie El Meligy Abdelhamid, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi:
Network Services and their Compositions for Network Science Applications. ICCS 2016: 472-483 - [c160]Nidhi Kiranbhai Parikh, Madhav V. Marathe, Samarth Swarup:
Summarizing Simulation Results Using Causally-Relevant States. MABS 2016: 71-91 - [c159]Md. Maksudul Alam, Maleq Khan, Anil Vullikanti, Madhav V. Marathe:
An efficient and scalable algorithmic method for generating large: scale random graphs. SC 2016: 372-383 - [e1]Madhav V. Marathe, Mukesh K. Mohania, Mausam, Prateek Jain:
Proceedings of the 3rd IKDD Conference on Data Science, CODS 2016, Pune, India, March 13-16, 2016. ACM 2016, ISBN 978-1-4503-4217-9 [contents] - [r4]V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Parthasarathy, Aravind Srinivasan:
Minimum Weighted Completion Time. Encyclopedia of Algorithms 2016: 1328-1331 - [i9]Huijuan Shao, K. S. M. Tozammel Hossain, Hao Wu, Maleq Khan, Anil Vullikanti, B. Aditya Prakash, Madhav V. Marathe, Naren Ramakrishnan:
Forecasting the Flu: Designing Social Network Sensors for Epidemics. CoRR abs/1602.06866 (2016) - 2015
- [j63]Huadong Xia, Kalyani Nagaraj, Jiangzhuo Chen, Madhav V. Marathe:
Synthesis of a high resolution social contact network for Delhi with application to pandemic planning. Artif. Intell. Medicine 65(2): 113-130 (2015) - [j62]Chris J. Kuhlman, V. S. Anil Kumar, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz:
Inhibiting diffusion of complex contagions in social networks: theoretical and experimental results. Data Min. Knowl. Discov. 29(2): 423-465 (2015) - [j61]Naren Ramakrishnan, Chang-Tien Lu, Madhav V. Marathe, Achla Marathe, Anil Vullikanti, Stephen G. Eubank, Scotland Leman, Michael J. Roan, John S. Brownstein, Kristen Maria Summers, Lise Getoor, Aravind Srinivasan, Tanzeem Choudhury, Dipak Gupta, David Mares:
Model-Based Forecasting of Significant Societal Events. IEEE Intell. Syst. 30(5): 86-90 (2015) - [c158]Daniel J. Rosenkrantz, Madhav V. Marathe, Harry B. Hunt III, S. S. Ravi,