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ORCIDAnil Vullikanti
V. S. Anil Kumar 0001 – Anil Kumar S. Vullikanti
Person information
- affiliation: Virginia Tech, Biocomplexity Institute, Blacksburg, VA, USA
- affiliation: Los Alamos National Laboratory, NM, USA
- affiliation: Max Planck Institute for Informatics, Saarbrücken, Germany
- affiliation (PhD 1999): Indian Institute of Science, Bangalore, India
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2020 – today
- 2023
[j48]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)- [j47]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) - [j46]Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao:
PAC-learning for Strategic Classification. J. Mach. Learn. Res. 24: 192:1-192:38 (2023) - [j45]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) - [c145]Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram V. Pemmaraju:
Detecting Sources of Healthcare Associated Infections. AAAI 2023: 4347-4355 - [c144]Ritwick Mishra, Jack Heavey, Gursharn Kaur, Abhijin Adiga, Anil Vullikanti:
Reconstructing an Epidemic Outbreak Using Steiner Connectivity. AAAI 2023: 11613-11620 - [c143]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 - [c142]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 - [c141]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 - [c140]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 - [c139]George Z. Li, Dung Nguyen, Anil Vullikanti:
Differentially Private Partial Set Cover with Applications to Facility Location. IJCAI 2023: 4803-4811 - [c138]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 - [c137]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 - [c136]Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li:
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. KDD 2023: 4584-4594 - [c135]Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash:
epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD 2023: 5847-5848 - [i33]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) - [i32]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) - [i31]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) - [i30]Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li:
Spatial-Temporal Networks for Antibiogram Pattern Prediction. CoRR abs/2305.01761 (2023) - [i29]Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li:
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. CoRR abs/2307.08237 (2023) - [i28]Haolin Liu, Rajmohan Rajaraman, Ravi Sundaram, Anil Vullikanti, Omer Wasim, Haifeng Xu:
Sample Complexity of Opinion Formation on Networks. CoRR abs/2311.02349 (2023) - 2022
- [j44]Swapna Thorve, Zhihao Hu, Kiran Lakkaraju, Joshua Letchford, Anil Vullikanti, Achla Marathe, Samarth Swarup:
A framework for the comparison of agent-based models. Auton. Agents Multi Agent Syst. 36(2): 32 (2022) - [j43]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) - [j42]Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Nafisa Halim, Pallab Mozumder:
Natural disaster evacuation modeling: the dichotomy of fear of crime and social influence. Soc. Netw. Anal. Min. 12(1): 13 (2022) - [c134]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 - [c133]Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti:
Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay. AAAI 2022: 10202-10209 - [c132]Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti:
Fair Disaster Containment via Graph-Cut Problems. AISTATS 2022: 6321-6333 - [c131]Amy E. Babay, Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti:
Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks. AISTATS 2022: 11641-11654 - [c130]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 - [c129]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 - [c128]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 - [c127]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 - [c126]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 - [c125]Mohamed S. Mohamed, Dung Nguyen, Anil Vullikanti, Ravi Tandon:
Differentially Private Community Detection for Stochastic Block Models. ICML 2022: 15858-15894 - [c124]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 - [c123]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 - [c122]Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti:
Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method. IJCAI 2022: 5164-5170 - [c121]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 - [c120]Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash:
epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD 2022: 4850-4851 - [c119]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 - [p2]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 - [i27]Mohamed Seif, Dung Nguyen, Anil Vullikanti, Ravi Tandon:
Differentially Private Community Detection for Stochastic Block Models. CoRR abs/2202.00636 (2022) - [i26]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) - [i25]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) - [i24]Amy Babay, Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti:
Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks. CoRR abs/2202.08296 (2022) - [i23]George Z. Li, Dung Nguyen, Anil Vullikanti:
Differentially Private Partial Set Cover with Applications to Facility Location. CoRR abs/2207.10240 (2022) - [i22]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) - [i21]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) - [i20]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
- [j41]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) - [c118]A. S. M. Ahsan-Ul-Haque, Mugdha Thakur, Matthew Bielskas, Achla Marathe, Anil Vullikanti:
Persistence of Anti-vaccine Sentiment in Social Networks Through Strategic Interactions. AAAI 2021: 4812-4820 - [c117]Brian Brubach, Nathaniel Grammel, David G. Harris, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti:
Approximating Two-Stage Stochastic Supplier Problems. APPROX-RANDOM 2021: 23:1-23:22 - [c116]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 - [c115]Matthew Hancock, Nafisa Halim, Chris J. Kuhlman, Achla Marathe, Pallab Mozumder, S. S. Ravi, Anil Vullikanti:
Effect of Peer Influence and Looting Concerns on Evacuation Behavior During Natural Disasters. COMPLEX NETWORKS 2021: 377-389 - [c114]Matthew Hancock, Nafisa Halim, Chris J. Kuhlman, Achla Marathe, Pallab Mozumder, S. S. Ravi, Anil Vullikanti:
Data-Driven Modeling of Evacuation Decision-Making in Extreme Weather Events. COMPLEX NETWORKS 2021: 681-692 - [c113]Dung Nguyen, Anil Vullikanti:
Differentially Private Densest Subgraph Detection. ICML 2021: 8140-8151 - [c112]Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao:
PAC-Learning for Strategic Classification. ICML 2021: 9978-9988 - [c111]Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash:
The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). KDD 2021: 4104-4105 - [i19]B. D. M. De Zoysa, Y. A. M. M. A. Ali, M. D. I. Maduranga, Indika Perera, Saliya Ekanayake, Anil Vullikanti:
Parallel Algorithms for Densest Subgraph Discovery Using Shared Memory Model. CoRR abs/2103.00154 (2021) - [i18]Dung Nguyen, Anil Vullikanti:
Differentially Private Densest Subgraph Detection. CoRR abs/2105.13287 (2021) - [i17]Amy Babay, Michael Dinitz, Prathyush Sambaturu, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti:
Fair Disaster Containment via Graph-Cut Problems. CoRR abs/2106.05424 (2021) - [i16]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
- [c110]Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren:
Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability. AAAI 2020: 1636-1643 - [c109]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 - [c108]Maleq Khan, Gopal Pandurangan, Nguyen Dinh Pham, Anil Vullikanti, Qin Zhang:
A Multi-criteria Approximation Algorithm for Influence Maximization with Probabilistic Guarantees. ALENEX 2020: 81-93 - [c107]Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Nafisa Halim, Pallab Mozumder:
Increasing Evacuation during Disaster Events. AAMAS 2020: 654-662 - [c106]Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti:
Designing Effective and Practical Interventions to Contain Epidemics. AAMAS 2020: 1187-1195 - [c105]Swapna Thorve, Zhihao Hu, Kiran Lakkaraju, Joshua Letchford, Anil Vullikanti, Achla Marathe, Samarth Swarup:
An Active Learning Method for the Comparison of Agent-based Models. AAMAS 2020: 1377-1385 - [c104]Jose Cadena, Achla Marathe, Anil Vullikanti:
Finding Spatial Clusters Susceptible to Epidemic Outbreaks due to Undervaccination. AAMAS 2020: 1786-1788 - [c103]Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash:
Mapping Network States using Connectivity Queries. IEEE BigData 2020: 778-787 - [c102]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 - [c101]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 - [c100]Jose Cadena, Achla Marathe, Anil Vullikanti:
Critical Spatial Clusters for Vaccine Preventable Diseases. SBP-BRiMS 2020: 213-223 - [c99]Marco Minutoli, Prathyush Sambaturu, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Anil Vullikanti:
Preempt: scalable epidemic interventions using submodular optimization on multi-GPU systems. SC 2020: 55 - [i15]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) - [i14]Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren:
Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability. CoRR abs/2002.02487 (2020) - [i13]Brian Brubach, Nathaniel Grammel, David G. Harris, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti:
Approximation Algorithms for Radius-Based, Two-Stage Stochastic Clustering Problems with Budget Constraints. CoRR abs/2008.03325 (2020) - [i12]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) - [i11]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) - [i10]Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao:
PAC-Learning for Strategic Classification. CoRR abs/2012.03310 (2020) - [i9]Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash:
Mapping Network States Using Connectivity Queries. CoRR abs/2012.03413 (2020)
2010 – 2019
- 2019
- [j40]Saliya Ekanayake, Jose Cadena, Udayanga Wickramasinghe, Anil Vullikanti:
MIDAS: Multilinear detection at scale. J. Parallel Distributed Comput. 132: 363-382 (2019) - [j39]Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura Pullum, B. Aditya Prakash:
Data-driven efficient network and surveillance-based immunization. Knowl. Inf. Syst. 61(3): 1667-1693 (2019) - [j38]Jose Cadena, David Falcone, Achla Marathe, Anil Vullikanti:
Discovery of under immunized spatial clusters using network scan statistics. BMC Medical Informatics Decis. Mak. 19(1): 28:1-28:14 (2019) - [j37]Bijaya Adhikari, Bryan L. Lewis, Anil Vullikanti, José M. Jiménez, B. Aditya Prakash:
Fast and near-optimal monitoring for healthcare acquired infection outbreaks. PLoS Comput. Biol. 15(9) (2019) - [j36]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) - [j35]Jose Cadena, Feng Chen, Anil Vullikanti:
Near-Optimal and Practical Algorithms for Graph Scan Statistics with Connectivity Constraints. ACM Trans. Knowl. Discov. Data 13(2): 20:1-20:33 (2019) - [c98]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 - [c97]Prathyush Sambaturu, Anil Vullikanti:
Designing Robust Interventions to Control Epidemic Outbreaks. COMPLEX NETWORKS (1) 2019: 469-480 - [c96]Nafisa Halim, Chris J. Kuhlman, Achla Marathe, Pallab Mozumder, Anil Vullikanti:
Two-Mode Threshold Graph Dynamical Systems for Modeling Evacuation Decision-Making During Disaster Events. COMPLEX NETWORKS (1) 2019: 519-531 - [c95]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 - [c94]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 - [c93]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 - [i8]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) - 2018
- [j34]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) - [j33]Jose Cadena, Feng Chen, Anil Vullikanti:
Graph Anomaly Detection Based on Steiner Connectivity and Density. Proc. IEEE 106(5): 829-845 (2018) - [j32]Lisa Singh, Amol Deshpande, Wenchao Zhou, Arindam Banerjee, Alex J. Bowers, Sorelle A. Friedler, H. V. Jagadish, George Karypis, Zoran Obradovic, Anil Vullikanti, Wangda Zuo:
NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets. SIGMOD Rec. 47(3): 32-35 (2018) - [j31]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) - [c92]Jose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng:
Graph Scan Statistics With Uncertainty. AAAI 2018: 2771-2778 - [c91]Jose Cadena, Anil Vullikanti:
Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications. AAAI 2018: 2779-2786 - [c90]Aparna Gupta, Samarth Swarup, Achla Marathe, Anil Vullikanti, Kiran Lakkaraju, Joshua Letchford:
Designing Incentives to Maximize the Adoption of Rooftop Solar Technology. AAMAS 2018: 1950-1952 - [c89]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 - [c88]Saliya Ekanayake, Jose Cadena, Udayanga Wickramasinghe, Anil Vullikanti:
MIDAS: Multilinear Detection at Scale. IPDPS 2018: 2-11 - [c87]Anil Kumar S. Vullikanti:
Parallel Generation of Large-Scale Random Graphs. IPDPS Workshops 2018: 278 - [c86]Anamitra Pal, Pavan Rangudu, S. S. Ravi, Anil Kumar S. Vullikanti:
Using Activity Patterns to Place Electric Vehicle Charging Stations in Urban Regions. IPDPS Workshops 2018: 1143-1152 - [c85]Bijaya Adhikari, Pavan Rangudu, B. Aditya Prakash, Anil Vullikanti:
Near-Optimal Mapping of Network States using Probes. SDM 2018: 108-116 - [i7]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
- [c84]Jose Cadena, Saliya Ekanayake, Anil Vullikanti:
Fast graph scan statistics optimization using algebraic fingerprints. IEEE BigData 2017: 905-910 - [c83]Sudip Saha, Anil Vullikanti, Mahantesh Halappanavar:
FlipNet: Modeling Covert and Persistent Attacks on Networked Resources. ICDCS 2017: 2444-2451 - [c82]Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura L. Pullum, B. Aditya Prakash:
Data-Driven Immunization. ICDM 2017: 615-624 - [c81]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 - [c80]Jose Cadena, Feng Chen, Anil Vullikanti:
Near-Optimal and Practical Algorithms for Graph Scan Statistics. SDM 2017: 624-632 - [c79]