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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
- 2023
[j89]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. Auton. Agents Multi Agent Syst. 37(2): 31 (2023)- [j88]Parantapa Bhattacharya
, Jiangzhuo Chen, Stefan Hoops, Dustin Machi, Bryan L. Lewis, Srinivasan Venkatramanan, Mandy L. Wilson, Brian Klahn, Aniruddha Adiga, Benjamin Hurt, Joseph Outten, Abhijin Adiga, Andrew S. Warren, Young Yun Baek, Przemyslaw J. Porebski, Achla Marathe, Dawen Xie, Samarth Swarup, Anil Vullikanti, Henning S. Mortveit, Stephen G. Eubank, Christopher L. Barrett, Madhav Vinayak Marathe:
Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support. Int. J. High Perform. Comput. Appl. 37(1): 4-27 (2023) - [j87]Anna E. Brower, Balaji Ramesh, Kazi Ashik Islam, Henning S. Mortveit, Stefan Hoops, Anil Vullikanti, Madhav V. Marathe, Benjamin F. Zaitchik, Julia M. Gohlke, Samarth Swarup:
Augmenting the Social Vulnerability Index using an agent-based simulation of Hurricane Harvey. Comput. Environ. Urban Syst. 105: 102020 (2023) - [c237]Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence. AAAI 2023: 11663-11671 - [c236]Aniruddha Adiga, Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe:
Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts. AAAI 2023: 15647-15653 - [c235]Zirou Qiu, Andrew Yuan, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Assigning Agents to Increase Network-Based Neighborhood Diversity. AAMAS 2023: 600-608 - [c234]Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti:
Towards Optimal and Scalable Evacuation Planning Using Data-driven Agent Based Models. AAMAS 2023: 2397-2399 - [c233]Aparna Kishore, Swapna Thorve, Madhav V. Marathe:
Budget-constrained optimal and equitable retrofitting problems for achieving energy efficiency. e-Energy 2023: 473-484 - [c232]Kazi Ashik Islam, Rounak Meyur, Aparna Kishore, Swapna Thorve, Da Qi Chen, Madhav V. Marathe:
OptICS-EV: A Data-Driven Model for Optimal Installation of Charging Stations for Electric Vehicles. ICCS (4) 2023: 70-85 - [c231]Da Qi Chen, Ann Li, George Z. Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti:
Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers. IJCAI 2023: 64-72 - [c230]Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti:
Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays. IJCAI 2023: 5359-5367 - [c229]Sudipta Saha Shubha, Shohaib Mahmud, Haiying Shen, Geoffrey C. Fox, Madhav V. Marathe:
Accurate and Efficient Distributed COVID-19 Spread Prediction based on a Large-Scale Time-Varying People Mobility Graph. IPDPS 2023: 58-68 - [c228]Galen Harrison, Amro Alabsi Aljundi, Jiangzhuo Chen, S. S. Ravi, Anil Kumar S. Vullikanti, Madhav V. Marathe, Abhijin Adiga:
Identifying Complicated Contagion Scenarios from Cascade Data. KDD 2023: 4135-4145 - [i35]Zirou Qiu, Andrew Yuan, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Assigning Agents to Increase Network-Based Neighborhood Diversity. CoRR abs/2301.02876 (2023) - [i34]Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Networked Anti-Coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence. CoRR abs/2301.02889 (2023) - [i33]Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems. CoRR abs/2301.04090 (2023) - 2022
- [j86]Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns:
Using Active Queries to Infer Symmetric Node Functions of Graph Dynamical Systems. J. Mach. Learn. Res. 23: 251:1-251:43 (2022) - [j85]Henry L. Carscadden, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz:
Techniques for blocking the propagation of two simultaneous contagions over networks using a graph dynamical systems framework. Netw. Sci. 10(3): 234-260 (2022) - [j84]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) - [j83]Zakaria Mehrab, Aniruddha Adiga, Madhav V. Marathe, Srinivasan Venkatramanan, Samarth Swarup:
Evaluating the Utility of High-Resolution Proximity Metrics in Predicting the Spread of COVID-19. ACM Trans. Spatial Algorithms Syst. 8(4): 26:1-26:51 (2022) - [c227]Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics. AAAI 2022: 9422-9430 - [c226]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 - [c225]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 - [c224]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 - [c223]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 - [c222]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 - [c221]Swapna Thorve, Anil Vullikanti, Henning S. Mortveit, Samarth Swarup, Madhav V. Marathe:
Fidelity and diversity metrics for validating hierarchical synthetic data: Application to residential energy demand. IEEE Big Data 2022: 1377-1382 - [c220]Aniruddha Adiga, Gursharn Kaur, Benjamin Hurt, Lijing Wang, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe:
Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources. IEEE Big Data 2022: 1594-1603 - [c219]Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti:
Incorporating Fairness in Large-scale Evacuation Planning. CIKM 2022: 3192-3201 - [c218]Daniel J. Rosenkrantz, Abhijin Adiga, Madhav V. Marathe, Zirou Qiu, S. S. Ravi, Richard Edwin Stearns, Anil Vullikanti:
Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries. ICML 2022: 18796-18808 - [c217]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 - [c216]Jiangzhuo Chen, Stefan Hoops, Achla Marathe, Henning S. Mortveit, Bryan L. Lewis, Srinivasan Venkatramanan, Arash Haddadan, Parantapa Bhattacharya, Abhijin Adiga, Anil Vullikanti, Aravind Srinivasan, Mandy L. Wilson, Gal Ehrlich, Maier Fenster, Stephen G. Eubank, Christopher L. Barrett, Madhav V. Marathe:
Effective Social Network-Based Allocation of COVID-19 Vaccines. KDD 2022: 4675-4683 - [c215]Swapna Thorve, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit, Madhav V. Marathe:
Modular and Extensible Pipelines for Residential Energy Demand Modeling and Simulation. WSC 2022: 855-866 - [i32]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) - [i31]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) - [i30]Rounak Meyur, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit, Virgilio Centeno, Arun G. Phadke, H. Vincent Poor, Madhav V. Marathe:
Ensembles of Realistic Power Distribution Networks. CoRR abs/2208.06384 (2022) - [i29]Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti:
A Scalable Data-Driven Technique for Joint Evacuation Routing and Scheduling Problems. CoRR abs/2209.01535 (2022) - [i28]Swapna Thorve, Young Yun Baek, Samarth Swarup, Henning S. Mortveit, Achla Marathe, Anil Vullikanti, Madhav V. Marathe:
High-resolution synthetic residential energy use profiles for the United States. CoRR abs/2210.08103 (2022) - 2021
- [j82]Adam Sadilek, Luyang Liu, Dung Nguyen, Methun Kamruzzaman, Stylianos Serghiou, Benjamin Rader, Alex Ingerman, Stefan Mellem, Peter Kairouz, Elaine O. Nsoesie, Jamie Macfarlane, Anil Vullikanti, Madhav V. Marathe, Paul Eastham, John S. Brownstein, Blaise Agüera y Arcas, Michael D. Howell, John Hernandez:
Privacy-first health research with federated learning. npj Digit. Medicine 4 (2021) - [c214]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 - [c213]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 - [c212]Parantapa Bhattacharya, Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan L. Lewis, Henning S. Mortveit, Srinivasan Venkatramanan, Mandy L. Wilson, Achla Marathe, Przemyslaw J. 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 - [c211]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 - [c210]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 - [c209]Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw J. 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 - [c208]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 - [c207]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 - [c206]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
- [j81]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) - [j80]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) - [j79]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) - [j78]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) - [c205]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 - [c204]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 - [c203]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 - [c202]Akhil Sai Peddireddy, Dawen Xie, Pramod Patil, Mandy L. Wilson, Dustin Machi, Srinivasan Venkatramanan, Brian Klahn, Przemyslaw J. 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 - [c201]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 - [c200]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 - [c199]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 - [c198]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 - [c197]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
- [j77]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) - [j76]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) - [j75]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) - [c196]Lijing Wang, Jiangzhuo Chen, Madhav V. Marathe:
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information. AAAI 2019: 9607-9612 - [c195]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 - [c194]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 - [c193]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 - [c192]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 - [c191]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 - [c190]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 - [c189]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
- [j74]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) - [j73]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) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [c188]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 - [c187]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 - [c186]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 - [c185]Meghendra Singh, Achla Marathe, Madhav V. Marathe, Samarth Swarup:
Behavior Model Calibration for Epidemic Simulations. AAMAS 2018: 1640-1648 - [c184]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 - [c183]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 - [c182]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 - [c181]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 - [c180]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 - [c179]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 - [c178]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
- [j68]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) - [j67]