Madhav Marathe

Publication Activity (10 Years)

Years Active: 1988-2022
Publications (10 Years): 53

Top Topics

Distribution Network

Parallel Algorithm

Top Venues

PLoS Comput. Biol.

Publications

Rounak Meyur, Swapna Thorve, Madhav Marathe, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit
A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles. CoRR (2022)
George Li, Ann Li, Madhav Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response. CoRR (2022)
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 Marathe, Jure Leskovec
Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling. KDD (2021)
Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw Porebski, Srinivasan Venkatramanan, Bryan Leroy Lewis, Madhav Marathe
All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting. KDD (2021)
Jacob Ritchie, Mark E. Whiting, Sorathan Chaturapruek, J. D. Zamfirescu-Pereira, Madhav 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 (2021)
Benjamin Hurt, Aniruddha Adiga, Madhav Marathe, Christopher L. Barrett
Informing University Covid-19 Decisions Using Simple Compartmental Models. WSC (2021)
Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav Marathe, Rajesh Sundaresan, Milind Tambe
Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway. AAMAS (2021)
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 Marathe
AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. IEEE BigData (2021)
George Li, Arash Haddadan, Ann Li, Madhav Marathe, Aravind Srinivasan, Anil Vullikanti, Zeyu Zhao
A Markov Decision Process Framework for Efficient and Implementable Contact Tracing and Isolation. CoRR (2021)
Daniel J. Rosenkrantz, Madhav Marathe, S. S. Ravi, Richard Edwin Stearns
Synchronous Dynamical Systems on Directed Acyclic Graphs: Complexity and Algorithms. AAAI (2021)
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav Marathe
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. IEEE BigData (2020)
Lijing Wang, Jiangzhuo Chen, Madhav Marathe
TDEFSI: Theory-guided Deep Learning-based Epidemic Forecasting with Synthetic Information. ACM Trans. Spatial Algorithms Syst. 6 (3) (2020)
Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav Marathe, Rajesh Sundaresan, Milind Tambe
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway. CoRR (2020)
Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav Marathe
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. NeurIPS (2020)
Rounak Meyur, Madhav 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)
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 Marathe
From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance. IEEE BigData (2020)
Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav Marathe
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. CoRR (2020)
Lijing Wang, Jiangzhuo Chen, Madhav Marathe
TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information. CoRR (2020)
Madhav Marathe
High Performance Simulations to Support Real-time COVID19 Response. SIGSIM-PADS (2020)
Md. Maksudul Alam, Maleq Khan, Kalyan S. Perumalla, Madhav Marathe
Generating Massive Scale-free Networks: Novel Parallel Algorithms using the Preferential Attachment Model. ACM Trans. Parallel Comput. 7 (2) (2020)
Rounak Meyur, Madhav Marathe, Anil Vullikanti, Henning S. Mortveit, Virgilio Centeno, Arun G. Phadke
Creating Realistic Synthetic Power Distribution Networks based on Interdependent Road Infrastructure. CoRR (2020)
Aniruddha Adiga, Devdatt P. Dubhashi, Bryan L. Lewis, Madhav Marathe, Srinivasan Venkatramanan, Anil Vullikanti
Models for COVID-19 Pandemic: A Comparative Analysis. CoRR (2020)
Shaikh Arifuzzaman, Maleq Khan, Madhav Marathe
Fast Parallel Algorithms for Counting and Listing Triangles in Big Graphs. ACM Trans. Knowl. Discov. Data 14 (1) (2020)
Elizabeth Bradley, Madhav Marathe, Melanie Moses, William D. Gropp, Daniel Lopresti
Pandemic Informatics: Preparation, Robustness, and Resilience. CoRR (2020)
Kazi Ashik Islam, Madhav Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti
A Simulation-based Approach for Large-scale Evacuation Planning. IEEE BigData (2020)
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav Marathe
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. CoRR (2020)
Abhijin Adiga, Chris J. Kuhlman, Madhav 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)
Langshi Chen, Jiayu Li, Ariful Azad, Cenk Sahinalp, Madhav Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting. CoRR (2020)
Prashant Rangarajan, Sandeep K. Mody, Madhav 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)
Srinivasan Venkatramanan, Jiangzhuo Chen, Arindam Fadikar, Sandeep Gupta, Dave Higdon, Bryan L. Lewis, Madhav Marathe, Henning S. Mortveit, Anil Vullikanti
Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints. PLoS Comput. Biol. 15 (9) (2019)
Stephen G. Eubank, Madhav Marathe, Henning S. Mortveit, Anil Vullikanti
Modeling Urban Mobility Networks Using Constrained Labeled Sequences. COMPLEX NETWORKS (2) (2019)
Abhijin Adiga, Chris J. Kuhlman, Madhav Marathe, S. S. Ravi, Anil Vullikanti
PAC Learnability of Node Functions in Networked Dynamical Systems. ICML (2019)
Lijing Wang, Jiangzhuo Chen, Madhav Marathe
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information. AAAI (2019)
Langshi Chen, Jiayu Li, Ariful Azad, Lei Jiang, Madhav Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
A GraphBLAS Approach for Subgraph Counting. CoRR (2019)
Langshi Chen, Jiayu Li, Cenk Sahinalp, Madhav Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting. IEEE BigData (2019)
Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. CoRR (2019)
Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. IPDPS Workshops (2019)
Arindam Fadikar, Dave Higdon, Jiangzhuo Chen, Bryan L. Lewis, Srinivasan Venkatramanan, Madhav Marathe
Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation. SIAM/ASA J. Uncertain. Quantification 6 (4) (2018)
Zhao Zhao, Langshi Chen, Mihai Avram, Meng Li, Guanying Wang, Ali Raza Butt, Maleq Khan, Madhav Marathe, Judy Qiu, Anil Vullikanti
Finding and Counting Tree-Like Subgraphs Using MapReduce. IEEE Trans. Multi Scale Comput. Syst. 4 (3) (2018)
Prithwish Chakraborty, Bryan L. Lewis, Stephen G. Eubank, John S. Brownstein, Madhav Marathe, Naren Ramakrishnan
What to know before forecasting the flu. PLoS Comput. Biol. 14 (10) (2018)
Langshi Chen, Bo Peng, Sabra Ossen, Anil Vullikanti, Madhav Marathe, Lei Jiang, Judy Qiu
High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication. CoRR (2018)
Christopher L. Barrett, Jeffrey Johnson, Madhav Marathe
High Performance Synthetic Information Environments An integrating architecture in the age of pervasive data and computing: Big Data (Ubiquity symposium). Ubiquity 2018 (March) (2018)
Farzaneh Tabataba, Bryan L. Lewis, Milad Hosseinipour, Foroogh S. Tabataba, Srinivasan Venkatramanan, Jiangzhuo Chen, Dave Higdon, Madhav Marathe
Epidemic Forecasting Framework Combining Agent-Based Models and Smart Beam Particle Filtering. ICDM (2017)
Md Hasanuzzaman Bhuiyan, Maleq Khan, Madhav Marathe
A Parallel Algorithm for Generating a Random Graph with a Prescribed Degree Sequence. CoRR (2017)
Langshi Chen, Bo Peng, Sabra Ossen, Anil Vullikanti, Madhav Marathe, Lei Jiang, Judy Qiu
High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication. TopHPC (2017)
Md Hasanuzzaman Bhuiyan, Maleq Khan, Madhav Marathe
Efficient algorithms for assortative edge switch in large labeled networks. SpringSim (HPC) (2017)
Srinivasan Venkatramanan, Jiangzhuo Chen, Sandeep Gupta, Bryan L. Lewis, Madhav Marathe, Henning S. Mortveit, Anil Vullikanti
Spatio-Temporal Optimization of Seasonal Vaccination Using a Metapopulation Model of Influenza. ICHI (2017)
Srinivasan Venkatramanan, Sichao Wu, Bowen Shi, Achla Marathe, Madhav 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)
Md Hasanuzzaman Bhuiyan, Maleq Khan, Madhav Marathe
A parallel algorithm for generating a random graph with a prescribed degree sequence. IEEE BigData (2017)
Richard M. Fujimoto, Christopher D. Carothers, Alois Ferscha, David Jefferson, Margaret L. Loper, Madhav Marathe, Simon J. E. Taylor
Computational challenges in modeling & simulation of complex systems. WSC (2017)
Nidhi Kiranbhai Parikh, Madhav Marathe, Samarth Swarup
Summarizing Simulation Results Using Causally-Relevant States. MABS (2016)
Madhav Marathe
Resilient Cities and Urban Analytics: The Role of Big Data and High Performance Pervasive Computing. CODS Companion Volume (2015)
Madhav Marathe
Assisting H1N1 and Ebola Outbreak Response through High Performance Networked Epidemiology. IPDPS (2015)
Madhav Marathe, Y. Narahari, Ramasuri Narayanam
Message from social networking workshop chairs. COMSNETS (2014)
Madhav Marathe, Robin A. Smith
Performance of a MAP network adapter. IEEE Netw. 2 (3) (1988)