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Madhav V. Marathe
Madhav Vinayak Marathe
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- affiliation: Virginia Tech, Blacksburg, VA, USA
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2020 – today
- 2024
- [j93]Parantapa Bhattacharya, Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan 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:
Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread. J. Parallel Distributed Comput. 191: 104899 (2024) - [j92]Velma K. Lopez
, Estee Y. Cramer
, Robert Pagano, John M. Drake, Eamon B. O'Dea, Madeline Adee, Turgay Ayer, Jagpreet Chhatwal, Ozden O. Dalgic, Mary A. Ladd, Benjamin P. Linas, Peter P. Mueller, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting
, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi
, Evan L. Ray, Ariane Stark, Yijin Wang
, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana
, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao
, Zhiling Gu, Myungjin Kim
, Xinyi Li
, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent
, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee
, Joseph Chadi Lemaitre
, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett
, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi
, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu
, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson:
Challenges of COVID-19 Case Forecasting in the US, 2020-2021. PLoS Comput. Biol. 20(5): 1011200 (2024) - [j91]Chadi M. Saad-Roy
, Sinead E. Morris
, Mike Boots, Rachel E. Baker, Bryan L. Lewis, Jeremy Farrar, Madhav V. Marathe, Andrea L. Graham, Simon A. Levin, Caroline E. Wagner, C. Jessica E. Metcalf, Bryan T. Grenfell:
Impact of waning immunity against SARS-CoV-2 severity exacerbated by vaccine hesitancy. PLoS Comput. Biol. 20(8): 1012211 (2024) - [j90]Daniel J. Rosenkrantz
, Madhav V. Marathe
, S. S. Ravi, Richard Edwin Stearns:
Synchronous Dynamical Systems on Directed Acyclic Graphs: Complexity and Algorithms. ACM Trans. Comput. Theory 16(2): 11:1-11:34 (2024) - [c250]Zirou Qiu, Abhijin Adiga, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Learning the Topology and Behavior of Discrete Dynamical Systems. AAAI 2024: 14722-14730 - [c249]Zakaria Mehrab, Logan Stundal, Srinivasan Venkatramanan, Samarth Swarup, Bryan Leroy Lewis, Henning S. Mortveit, Christopher L. Barrett, Abhishek Pandey, Chad R. Wells, Alison P. Galvani, Burton H. Singer, Seyed M. Moghadas, David Leblang, Rita R. Colwell, Madhav V. Marathe:
A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration. AAAI 2024: 23027-23033 - [c248]Abhijin Adiga, Yohai Trabelsi, Tanvir Ferdousi, Madhav V. Marathe, S. S. Ravi, Samarth Swarup, Anil Kumar S. Vullikanti, Mandy L. Wilson, Sarit Kraus, Reetwika Basu, Supriya Savalkar, Matthew Yourek, Michael Brady, Kirti Rajagopalan, Jonathan Yoder:
Value-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading. AAMAS 2024: 13-21 - [c247]Zakaria Mehrab, Logan Stundal, Samarth Swarup, Srinivasan Venkatramanan, Bryan Lewis, Henning S. Mortveit, Christopher L. Barrett, Abhishek Pandey, Chad R. Wells, Alison P. Galvani, Burton H. Singer, David Leblang, Rita R. Colwell, Madhav V. Marathe:
Network Agency: An Agent-based Model of Forced Migration from Ukraine. AAMAS 2024: 1372-1380 - [c246]Swapna Thorve, Henning S. Mortveit, Anil Vullikanti, Madhav V. Marathe, Samarth Swarup:
Assessing Fairness of Residential Dynamic Pricing for Electricity using Active Learning with Agent-based Simulation. AAMAS 2024: 1827-1836 - [c245]Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti:
Strategic Routing and Scheduling for Evacuations. AAMAS 2024: 2312-2314 - [c244]Oishee Bintey Hoque, Samarth Swarup, Abhijin Adiga, Sayjro Kossi Nouwakpo, Madhav V. Marathe:
IrrNet: Advancing Irrigation Mapping with Incremental Patch Size Training on Remote Sensing Imagery. CVPR Workshops 2024: 5460-5469 - [c243]Zirou Qiu, Abhijin Adiga, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Kumar S. Vullikanti:
Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks. ICML 2024 - [i43]Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti:
Strategic Routing and Scheduling for Evacuations. CoRR abs/2401.04371 (2024) - [i42]Joy Kitson, Ian J. Costello, Jiangzhuo Chen, Diego Jiménez, Stefan Hoops, Henning S. Mortveit, Esteban Meneses, Jae-Seung Yeom, Madhav V. Marathe, Abhinav Bhatele:
A Large-Scale Epidemic Simulation Framework for Realistic Social Contact Networks. CoRR abs/2401.08124 (2024) - [i41]Abhijin Adiga, Yohai Trabelsi, Tanvir Ferdousi, Madhav V. Marathe, S. S. Ravi, Samarth Swarup, Anil Kumar S. Vullikanti, Mandy L. Wilson, Sarit Kraus, Reetwika Basu, Supriya Savalkar
, Matthew Yourek, Michael Brady, Kirti Rajagopalan, Jonathan Yoder:
Value-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading. CoRR abs/2402.06576 (2024) - [i40]Zirou Qiu, Abhijin Adiga, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Learning the Topology and Behavior of Discrete Dynamical Systems. CoRR abs/2402.11686 (2024) - [i39]Oishee Bintey Hoque, Samarth Swarup, Abhijin Adiga, Sayjro Kossi Nouwakpo, Madhav V. Marathe:
IrrNet: Advancing Irrigation Mapping with Incremental Patch Size Training on Remote Sensing Imagery. CoRR abs/2404.11762 (2024) - [i38]Zirou Qiu, Abhijin Adiga, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks. CoRR abs/2405.06884 (2024) - [i37]Aparna Kishore, Swapna Thorve, Madhav V. Marathe:
A Generative AI Technique for Synthesizing a Digital Twin for U.S. Residential Solar Adoption and Generation. CoRR abs/2410.08098 (2024) - [i36]Abhijin Adiga, Ayush Chopra, Mandy L. Wilson, S. S. Ravi, Dawen Xie, Samarth Swarup, Bryan Lewis, Ramesh Raskar, Madhav V. Marathe:
A High-Resolution, US-scale Digital Similar of Interacting Livestock, Wild Birds, and Human Ecosystems with Applications to Multi-host Epidemic Spread. CoRR abs/2411.01386 (2024) - 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) - [c242]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 - [c241]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 - [c240]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 - [c239]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 - [c238]Swapna Thorve, Aparna Kishore, Dustin Machi, S. S. Ravi, Madhav V. Marathe:
A Network Synthesis and Analytics Pipeline with Applications to Sustainable Energy in Smart Grid. e-Science 2023: 1-10 - [c237]Aparna Kishore
, Swapna Thorve
, Madhav V. Marathe
:
Budget-constrained optimal and equitable retrofitting problems for achieving energy efficiency. e-Energy 2023: 473-484 - [c236]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 - [c235]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 - [c234]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 - [c233]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 - [c232]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 - [c231]Galen Harrison, Przemyslaw J. Porebski, Jiangzhuo Chen, Mandy L. Wilson, Henning S. Mortveit, Parantapa Bhattacharya, Dawen Xie, Stefan Hoops, Anil Vullikanti
, Li Xiong, James Joshi, Madhav V. Marathe:
Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities. TPS-ISA 2023: 23-33 - [c230]Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Ambedkar Dukkipati, Tony Gracious, Shubham Gupta, Nihesh Rathod, Rajesh Sundaresan, Sarath Yasodharan, Kantha Rao Bhimala, Vidyadhar Mudkavi, Gopal Krishna Patra, Siva Athreya:
A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India. WSC 2023: 994-1005 - [c229]Tanvir Ferdousi, Abhijin Adiga, Mandy L. Wilson, S. S. Ravi, Anil Vullikanti, Madhav V. Marathe, Samarth Swarup, Mingliang Liu, Kirti Rajagopalan, Jennifer Adam:
A Machine Learning Framework to Explain Complex Geospatial Simulations: A Climate Change Case Study. WSC 2023: 2990-3001 - [c228]Amro Alabsi Aljundi, Galen Harrison, Jiangzhuo Chen, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti, Abhijin Adiga:
A Network-based Analytics Framework for High-Resolution Agent-based Epidemic Simulation Ensembles. WSC 2023: 3741-3752 - [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 - [p4]Md. Maksudul Alam, Shaikh Arifuzzaman, Md Hasanuzzaman Bhuiyan, Maleq Khan, V. S. Anil Kumar, Madhav V. Marathe:
Distributed Memory Parallel Algorithms for Massive Graphs. Massive Graph Analytics 2022: 85-107 - [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, S. 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]