Anil Vullikanti

173 papers A* 38A 28B 5C 1Misc 6Journal 73Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Framework for Epidemiological Modeling. CoRR Rituparna Datta, Zihan Guan, Baltazar Espinoza, Yiqi Su, Priya Pitre, Srinivasan Venkatramanan, Naren Ramakrishnan, Anil Vullikanti
2026	J	`jnl`	Differentially Private and Scalable Estimation of the Network Principal Component. Trans. Mach. Learn. Res. Alireza Khayatian, Anil Vullikanti, Aritra Konar
2026	A*	`conf`	Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks. AAAI Ritwick Mishra, Abhijin Adiga, Madhav V. Marathe, S. S. Ravi, Ravi Tandon, Anil Vullikanti
2026	J	`jnl`	Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks. CoRR Ritwick Mishra, Abhijin Adiga, Madhav V. Marathe, S. S. Ravi, Ravi Tandon, Anil Vullikanti
2026	J	`jnl`	NIMMGen: Learning Neural-Integrated Mechanistic Digital Twins with LLMs. CoRR Zihan Guan, Rituparna Datta, Mengxuan Hu, Shunshun Liu, Aiying Zhang, Prasanna Balachandran, Sheng Li, Anil Vullikanti
2026	A*	`conf`	Prediction of Hospital Associated Infections During Continuous Hospital Stays. AAAI Rituparna Datta, Methun Kamruzzaman, Eili Y. Klein, Gregory Madden, Xinwei Deng, Anil Vullikanti, Parantapa Bhattacharya
2026	J	`jnl`	Reconstructing Network Outbreaks under Group Surveillance. CoRR Ritwick Mishra, Abhijin Adiga, Anil Vullikanti
2025	J	`jnl`	A Framework for Multi-source Privacy Preserving Epidemic Analysis. CoRR Zihan Guan, Zhiyuan Zhao, Fengwei Tian, Dung Nguyen, Payel Bhattacharjee, Ravi Tandon, B. Aditya Prakash, Anil Vullikanti
2025	A	`conf`	Accurately Estimating Unreported Infections using Information Theory. SDM Jiaming Cui, Bijaya Adhikari, Arash Haddadan, A. S. M. Ahsan-Ul-Haque, Jilles Vreeken, Anil Vullikanti, B. Aditya Prakash
2025	J	`jnl`	Accurately Estimating Unreported Infections using Information Theory. CoRR Jiaming Cui, Bijaya Adhikari, Arash Haddadan, A. S. M. Ahsan-Ul-Haque, Jilles Vreeken, Anil Vullikanti, B. Aditya Prakash
2025	A*	`conf`	Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety. ICML Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti
2025	J	`jnl`	Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety. CoRR Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti
2025	J	`jnl`	CALYPSO: Forecasting and Analyzing MRSA Infection Patterns with Community and Healthcare Transmission Dynamics. CoRR Rituparna Datta, Jiaming Cui, Gregory Madden, Anil Vullikanti
2025	—	`conf`	Challenges in Identifying Illicit Actors in Financial Networks. TPS-ISA Amro Alabsi Aljundi, Abhijin Adiga, Philip B. K. Potter, Samarth Swarup, Anil Vullikanti, Madhav V. Marathe
2025	A	`conf`	Contrastive Explainable Clustering with Differential Privacy. AAMAS Dung Nguyen, Ariel Vetzler, Sarit Kraus, Anil Vullikanti
2025	J	`jnl`	Controlling the Spread of Epidemics on Networks with Differential Privacy. CoRR Dung Nguyen, Aravind Srinivasan, Renata Valieva, Anil Vullikanti, Jiayi Wu
2025	A	`conf`	DIMPLES: Distributed Influence Maximization for Pandemic pLanning on Exascale Systems. ICS Marco Minutoli, Reece Neff, Naw Safrin Sattar, Hao Lu, John Feo, Henning S. Mortveit, Anil Vullikanti, Dawen Xie, Mandy L. Wilson, Gregor von Laszewski, Parantapa Bhattacharya, S. M. Ferdous, Ananth Kalyanaraman, Michela Becchi, Madhav V. Marathe, Mahantesh Halappanavar
2025	J	`jnl`	Differentially Private Densest- CoRR Alireza Khayatian, Anil Vullikanti, Aritra Konar
2025	J	`jnl`	Graph-Based Prediction of Spatio-Temporal Vaccine Hesitancy From Insurance Claims Data. IEEE Access Sifat Afroj Moon, Rituparna Datta, Tanvir Ferdousi, Hannah Baek, Abhijin Adiga, Achla Marathe, Anil Vullikanti
2025	J	`jnl`	Identifying and forecasting importation and asymptomatic spreaders of multi-drug resistant organisms in hospital settings. npj Digit. Medicine Jiaming Cui, Jack Heavey, Eili Y. Klein, Gregory Madden, Costi D. Sifri, Anil Vullikanti, B. Aditya Prakash
2025	J	`jnl`	Improving Hospital Risk Prediction with Knowledge-Augmented Multimodal EHR Modeling. CoRR Rituparna Datta, Jiaming Cui, Zihan Guan, Vishal G. Reddy, Joshua C. Eby, Gregory Madden, Rupesh Silwal, Anil Vullikanti
2025	J	`jnl`	Prediction of Hospital Associated Infections During Continuous Hospital Stays. CoRR Rituparna Datta, Methun Kamruzzaman, Eili Y. Klein, Gregory Madden, Xinwei Deng, Anil Vullikanti, Parantapa Bhattacharya
2024	B	`conf`	A Scalable Game-theoretic Approach to Urban Evacuation Routing and Scheduling. IEEE Big Data Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti
2024	Misc	`conf`	Agent-Based Simulation Framework for Multi-Variant Surveillance. WSC Sifat Afroj Moon, Jiangzhuo Chen, Baltazar Espinoza, Bryan Lewis, Madhav V. Marathe, Joseph Outten, Srinivasan Venkatramanan, Anil Vullikanti, Andrew S. Warren
2024	A	`conf`	Assessing Fairness of Residential Dynamic Pricing for Electricity using Active Learning with Agent-based Simulation. AAMAS Swapna Thorve, Henning S. Mortveit, Anil Vullikanti, Madhav V. Marathe, Samarth Swarup
2024	A	`conf`	Computing epidemic metrics with edge differential privacy. AISTATS George Z. Li, Dung Nguyen, Anil Vullikanti
2024	J	`jnl`	Contrastive explainable clustering with differential privacy. CoRR Dung Nguyen, Ariel Vetzler, Sarit Kraus, Anil Vullikanti
2024	J	`jnl`	Differentially private exact recovery for stochastic block models. CoRR Dung Nguyen, Anil Vullikanti
2024	J	`jnl`	Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks. CoRR Zirou Qiu, Abhijin Adiga, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2024	A	`conf`	H SDM Vivek Anand, Jiaming Cui, Jack Heavey, Anil Vullikanti, B. Aditya Prakash
2024	A*	`conf`	Learning the Topology and Behavior of Discrete Dynamical Systems. AAAI Zirou Qiu, Abhijin Adiga, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2024	J	`jnl`	Learning the Topology and Behavior of Discrete Dynamical Systems. CoRR Zirou Qiu, Abhijin Adiga, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2024	J	`jnl`	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. 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
2024	A	`conf`	Strategic Routing and Scheduling for Evacuations. AAMAS Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti
2024	J	`jnl`	Strategic Routing and Scheduling for Evacuations. CoRR Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti
2024	J	`jnl`	UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models. CoRR Zihan Guan, Mengxuan Hu, Sheng Li, Anil Vullikanti
2024	A*	`conf`	epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD Alexander Rodríguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash
2023	A*	`conf`	A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. KDD Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
2023	J	`jnl`	A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. CoRR Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
2023	Misc	`conf`	A Machine Learning Framework to Explain Complex Geospatial Simulations: A Climate Change Case Study. WSC Tanvir Ferdousi, Abhijin Adiga, Mandy L. Wilson, S. S. Ravi, Anil Vullikanti, Madhav V. Marathe, Samarth Swarup, Mingliang Liu, Kirti Rajagopalan, Jennifer Adam
2023	Misc	`conf`	A Network-based Analytics Framework for High-Resolution Agent-based Epidemic Simulation Ensembles. WSC Amro Alabsi Aljundi, Galen Harrison, Jiangzhuo Chen, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti, Abhijin Adiga
2023	A	`conf`	Assigning Agents to Increase Network-Based Neighborhood Diversity. AAMAS Zirou Qiu, Andrew Yuan, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2023	J	`jnl`	Assigning Agents to Increase Network-Based Neighborhood Diversity. CoRR Zirou Qiu, Andrew Yuan, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2023	J	`jnl`	Augmenting the Social Vulnerability Index using an agent-based simulation of Hurricane Harvey. Comput. Environ. Urban Syst. 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
2023	J	`jnl`	Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support. Int. J. High Perform. Comput. Appl. 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
2023	J	`jnl`	Deploying vaccine distribution sites for improved accessibility and equity to support pandemic response. Auton. Agents Multi Agent Syst. George Z. Li, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2023	A*	`conf`	Detecting Sources of Healthcare Associated Infections. AAAI Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram V. Pemmaraju
2023	A*	`conf`	Differentially Private Partial Set Cover with Applications to Facility Location. IJCAI George Z. Li, Dung Nguyen, Anil Vullikanti
2023	A*	`conf`	Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers. IJCAI Da Qi Chen, Ann Li, George Z. Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2023	A*	`conf`	Faster approximate subgraph counts with privacy. NeurIPS Dung Nguyen, Mahantesh Halappanavar, Venkatesh Srinivasan, Anil Vullikanti
2023	J	`jnl`	Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems. CoRR Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2023	J	`jnl`	Networked Anti-Coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence. CoRR Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2023	A*	`conf`	Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence. AAAI Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2023	J	`jnl`	PAC-learning for Strategic Classification. J. Mach. Learn. Res. Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao
2023	A*	`conf`	Reconstructing an Epidemic Outbreak Using Steiner Connectivity. AAAI Ritwick Mishra, Jack Heavey, Gursharn Kaur, Abhijin Adiga, Anil Vullikanti
2023	J	`jnl`	Sample Complexity of Opinion Formation on Networks. CoRR Haolin Liu, Rajmohan Rajaraman, Ravi Sundaram, Anil Vullikanti, Omer Wasim, Haifeng Xu
2023	A*	`conf`	Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays. IJCAI Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti
2023	—	`conf`	Spatial-Temporal Networks for Antibiogram Pattern Prediction. ICHI Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Y. Klein, Gregory Madden, Jundong Li
2023	J	`jnl`	Spatial-Temporal Networks for Antibiogram Pattern Prediction. CoRR Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Y. Klein, Gregory Madden, Jundong Li
2023	—	`conf`	Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities. TPS-ISA 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
2023	A	`conf`	Towards Optimal and Scalable Evacuation Planning Using Data-driven Agent Based Models. AAMAS Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti
2023	A*	`conf`	epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
2022	A*	`conf`	A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles. IJCAI Rounak Meyur, Swapna Thorve, Madhav V. Marathe, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit
2022	J	`jnl`	A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles. CoRR Rounak Meyur, Swapna Thorve, Madhav V. Marathe, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit
2022	J	`jnl`	A Scalable Data-Driven Technique for Joint Evacuation Routing and Scheduling Problems. CoRR Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti
2022	J	`jnl`	A framework for the comparison of agent-based models. Auton. Agents Multi Agent Syst. Swapna Thorve, Zhihao Hu, Kiran Lakkaraju, Joshua Letchford, Anil Vullikanti, Achla Marathe, Samarth Swarup
2022	A	`conf`	Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks. AISTATS Amy E. Babay, Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2022	J	`jnl`	Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks. CoRR Amy Babay, Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2022	A	`conf`	Data-driven Agent-based Models for Optimal Evacuation of Large Metropolitan Areas for Improved Disaster Planning. AAMAS Kazi Ashik Islam, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti
2022	A	`conf`	Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response. AAMAS George Z. Li, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2022	J	`jnl`	Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response. CoRR George Z. Li, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2022	A*	`conf`	Differentially Private Community Detection for Stochastic Block Models. ICML Mohamed S. Mohamed, Dung Nguyen, Anil Vullikanti, Ravi Tandon
2022	J	`jnl`	Differentially Private Community Detection for Stochastic Block Models. CoRR Mohamed Seif, Dung Nguyen, Anil Vullikanti, Ravi Tandon
2022	J	`jnl`	Differentially Private Partial Set Cover with Applications to Facility Location. CoRR George Z. Li, Dung Nguyen, Anil Vullikanti
2022	A*	`conf`	Effective Social Network-Based Allocation of COVID-19 Vaccines. KDD 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
2022	A*	`conf`	Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries. ICML Daniel J. Rosenkrantz, Abhijin Adiga, Madhav V. Marathe, Zirou Qiu, S. S. Ravi, Richard Edwin Stearns, Anil Vullikanti
2022	J	`jnl`	Ensembles of Realistic Power Distribution Networks. CoRR Rounak Meyur, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit, Virgilio Centeno, Arun G. Phadke, H. Vincent Poor, Madhav V. Marathe
2022	A	`conf`	Fair Disaster Containment via Graph-Cut Problems. AISTATS Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2022	B	`conf`	Fidelity and diversity metrics for validating hierarchical synthetic data: Application to residential energy demand. IEEE Big Data Swapna Thorve, Anil Vullikanti, Henning S. Mortveit, Samarth Swarup, Madhav V. Marathe
2022	A*	`conf`	Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics. AAAI Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2022	J	`jnl`	Fundamental limitations on efficiently forecasting certain epidemic measures in network models. Proc. Natl. Acad. Sci. USA Daniel J. Rosenkrantz, Anil Vullikanti, S. S. Ravi, Richard Edwin Stearns, Simon A. Levin, H. Vincent Poor, Madhav V. Marathe
2022	J	`jnl`	High-resolution synthetic residential energy use profiles for the United States. CoRR Swapna Thorve, Young Yun Baek, Samarth Swarup, Henning S. Mortveit, Achla Marathe, Anil Vullikanti, Madhav V. Marathe
2022	A	`conf`	Incorporating Fairness in Large-scale Evacuation Planning. CIKM Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti
2022	Misc	`conf`	Modular and Extensible Pipelines for Residential Energy Demand Modeling and Simulation. WSC Swapna Thorve, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit, Madhav V. Marathe
2022	J	`jnl`	Natural disaster evacuation modeling: the dichotomy of fear of crime and social influence. Soc. Netw. Anal. Min. Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Nafisa Halim, Pallab Mozumder
2022	A*	`conf`	Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay. AAAI Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti
2022	A*	`conf`	Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method. IJCAI Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti
2022	A	`conf`	Theoretical Models and Preliminary Results for Contact Tracing and Isolation. AAMAS George Z. Li, Arash Haddadan, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Anil Vullikanti, Zeyu Zhao
2022	A*	`conf`	epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
2021	J	`jnl`	A Markov Decision Process Framework for Efficient and Implementable Contact Tracing and Isolation. CoRR George Z. Li, Arash Haddadan, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Anil Vullikanti, Zeyu Zhao
2021	—	`conf`	AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. IEEE BigData 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
2021	—	`conf`	Approximating Two-Stage Stochastic Supplier Problems. APPROX-RANDOM Brian Brubach, Nathaniel Grammel, David G. Harris, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2021	—	`conf`	Data-Driven Modeling of Evacuation Decision-Making in Extreme Weather Events. COMPLEX NETWORKS Matthew Hancock, Nafisa Halim, Chris J. Kuhlman, Achla Marathe, Pallab Mozumder, S. S. Ravi, Anil Vullikanti
2021	A*	`conf`	Differentially Private Densest Subgraph Detection. ICML Dung Nguyen, Anil Vullikanti
2021	J	`jnl`	Differentially Private Densest Subgraph Detection. CoRR Dung Nguyen, Anil Vullikanti
2021	—	`conf`	Effect of Peer Influence and Looting Concerns on Evacuation Behavior During Natural Disasters. COMPLEX NETWORKS Matthew Hancock, Nafisa Halim, Chris J. Kuhlman, Achla Marathe, Pallab Mozumder, S. S. Ravi, Anil Vullikanti
2021	J	`jnl`	Fair Disaster Containment via Graph-Cut Problems. CoRR Amy Babay, Michael Dinitz, Prathyush Sambaturu, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2021	A*	`conf`	PAC-Learning for Strategic Classification. ICML Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao
2021	J	`jnl`	Parallel Algorithms for Densest Subgraph Discovery Using Shared Memory Model. CoRR B. D. M. De Zoysa, Y. A. M. M. A. Ali, M. D. I. Maduranga, Indika Perera, Saliya Ekanayake, Anil Vullikanti
2021	A*	`conf`	Persistence of Anti-vaccine Sentiment in Social Networks Through Strategic Interactions. AAAI A. S. M. Ahsan-Ul-Haque, Mugdha Thakur, Matthew Bielskas, Achla Marathe, Anil Vullikanti
2021	J	`jnl`	Privacy-first health research with federated learning. npj Digit. Medicine 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
2021	A*	`conf`	The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). KDD Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash
2020	A	`conf`	A Multi-criteria Approximation Algorithm for Influence Maximization with Probabilistic Guarantees. ALENEX Maleq Khan, Gopal Pandurangan, Nguyen Dinh Pham, Anil Vullikanti, Qin Zhang
2020	—	`conf`	A Simulation-based Approach for Large-scale Evacuation Planning. IEEE BigData Kazi Ashik Islam, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti
2020	A	`conf`	An Active Learning Method for the Comparison of Agent-based Models. AAMAS Swapna Thorve, Zhihao Hu, Kiran Lakkaraju, Joshua Letchford, Anil Vullikanti, Achla Marathe, Samarth Swarup
2020	J	`jnl`	Approximation Algorithms for Radius-Based, Two-Stage Stochastic Clustering Problems with Budget Constraints. CoRR Brian Brubach, Nathaniel Grammel, David G. Harris, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
2020	A*	`conf`	Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems. AAAI Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
2020	—	`conf`	Creating Realistic Power Distribution Networks using Interdependent Road Infrastructure. IEEE BigData Rounak Meyur, Madhav V. Marathe, Anil Vullikanti, Henning S. Mortveit, Samarth Swarup, Virgilio Centeno, Arun G. Phadke
2020	J	`jnl`	Creating Realistic Synthetic Power Distribution Networks based on Interdependent Road Infrastructure. CoRR Rounak Meyur, Madhav V. Marathe, Anil Vullikanti, Henning S. Mortveit, Virgilio Centeno, Arun G. Phadke
2020	—	`conf`	Critical Spatial Clusters for Vaccine Preventable Diseases. SBP-BRiMS Jose Cadena, Achla Marathe, Anil Vullikanti
2020	A	`conf`	Designing Effective and Practical Interventions to Contain Epidemics. AAMAS Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti
2020	A*	`conf`	Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability. AAAI Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren
2020	J	`jnl`	Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability. CoRR Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S. S. Ravi, Anil Vullikanti, Andrew Warren
2020	A	`conf`	Finding Spatial Clusters Susceptible to Epidemic Outbreaks due to Undervaccination. AAMAS Jose Cadena, Achla Marathe, Anil Vullikanti
2020	A	`conf`	Increasing Evacuation during Disaster Events. AAMAS Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Nafisa Halim, Pallab Mozumder
2020	J	`jnl`	Mapping Network States Using Connectivity Queries. CoRR Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash
2020	—	`conf`	Mapping Network States using Connectivity Queries. IEEE BigData Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash
2020	J	`jnl`	Models for COVID-19 Pandemic: A Comparative Analysis. CoRR Aniruddha Adiga, Devdatt P. Dubhashi, Bryan L. Lewis, Madhav V. Marathe, Srinivasan Venkatramanan, Anil Vullikanti
2020	J	`jnl`	PAC-Learning for Strategic Classification. CoRR Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao
2020	A	`conf`	Preempt: scalable epidemic interventions using submodular optimization on multi-GPU systems. SC Marco Minutoli, Prathyush Sambaturu, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Anil Vullikanti
2020	J	`jnl`	SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting. CoRR Langshi Chen, Jiayu Li, Ariful Azad, S. Cenk Sahinalp, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
2019	J	`jnl`	A GraphBLAS Approach for Subgraph Counting. CoRR Langshi Chen, Jiayu Li, Ariful Azad, Lei Jiang, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
2019	J	`jnl`	Data-driven efficient network and surveillance-based immunization. Knowl. Inf. Syst. Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura Pullum, B. Aditya Prakash
2019	—	`conf`	Designing Robust Interventions to Control Epidemic Outbreaks. COMPLEX NETWORKS (1) Prathyush Sambaturu, Anil Vullikanti
2019	J	`jnl`	Discovery of under immunized spatial clusters using network scan statistics. BMC Medical Informatics Decis. Mak. Jose Cadena, David Falcone, Achla Marathe, Anil Vullikanti
2019	J	`jnl`	Fast and near-optimal monitoring for healthcare acquired infection outbreaks. PLoS Comput. Biol. Bijaya Adhikari, Bryan L. Lewis, Anil Vullikanti, José M. Jiménez, B. Aditya Prakash
2019	J	`jnl`	MIDAS: Multilinear detection at scale. J. Parallel Distributed Comput. Saliya Ekanayake, Jose Cadena, Udayanga Wickramasinghe, Anil Vullikanti
2019	—	`conf`	Modeling Urban Mobility Networks Using Constrained Labeled Sequences. COMPLEX NETWORKS (2) Stephen G. Eubank, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti
2019	J	`jnl`	Near-Optimal and Practical Algorithms for Graph Scan Statistics with Connectivity Constraints. ACM Trans. Knowl. Discov. Data Jose Cadena, Feng Chen, Anil Vullikanti
2019	J	`jnl`	Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints. PLoS Comput. Biol. Srinivasan Venkatramanan, Jiangzhuo Chen, Arindam Fadikar, Sandeep Gupta, Dave Higdon, Bryan L. Lewis, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti
2019	A*	`conf`	PAC Learnability of Node Functions in Networked Dynamical Systems. ICML Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Anil Vullikanti
2019	—	`conf`	SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting. IEEE BigData Langshi Chen, Jiayu Li, S. Cenk Sahinalp, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
2019	—	`conf`	Two-Mode Threshold Graph Dynamical Systems for Modeling Evacuation Decision-Making During Disaster Events. COMPLEX NETWORKS (1) Nafisa Halim, Chris J. Kuhlman, Achla Marathe, Pallab Mozumder, Anil Vullikanti
2019	Misc	`conf`	Validating Agent-Based Models of Large Networked Systems. WSC 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
2018	—	`conf`	Cascading Effects of Targeted Attacks on the Power Grid. COMPLEX NETWORKS (1) Rounak Meyur, Anil Vullikanti, Madhav V. Marathe, Anamitra Pal, Mina Youssef, Virgilio Centeno
2018	A	`conf`	Designing Incentives to Maximize the Adoption of Rooftop Solar Technology. AAMAS Aparna Gupta, Samarth Swarup, Achla Marathe, Anil Vullikanti, Kiran Lakkaraju, Joshua Letchford
2018	J	`jnl`	Finding and Counting Tree-Like Subgraphs Using MapReduce. IEEE Trans. Multi Scale Comput. Syst. Zhao Zhao, Langshi Chen, Mihai Avram, Meng Li, Guanying Wang, Ali Raza Butt, Maleq Khan, Madhav V. Marathe, Judy Qiu, Anil Vullikanti
2018	J	`jnl`	Graph Anomaly Detection Based on Steiner Connectivity and Density. Proc. IEEE Jose Cadena, Feng Chen, Anil Vullikanti
2018	A*	`conf`	Graph Scan Statistics With Uncertainty. AAAI Jose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng
2018	J	`jnl`	High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication. CoRR Langshi Chen, Bo Peng, Sabra Ossen, Anil Vullikanti, Madhav V. Marathe, Lei Jiang, Judy Qiu
2018	A	`conf`	MIDAS: Multilinear Detection at Scale. IPDPS Saliya Ekanayake, Jose Cadena, Udayanga Wickramasinghe, Anil Vullikanti
2018	A*	`conf`	Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications. AAAI Jose Cadena, Anil Vullikanti
2018	J	`jnl`	NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets. SIGMOD Rec. 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
2018	A	`conf`	Near-Optimal Mapping of Network States using Probes. SDM Bijaya Adhikari, Pavan Rangudu, B. Aditya Prakash, Anil Vullikanti
2017	A*	`conf`	Data-Driven Immunization. ICDM Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura L. Pullum, B. Aditya Prakash
2017	—	`conf`	Fast graph scan statistics optimization using algebraic fingerprints. IEEE BigData Jose Cadena, Saliya Ekanayake, Anil Vullikanti
2017	A	`conf`	FlipNet: Modeling Covert and Persistent Attacks on Networked Resources. ICDCS Sudip Saha, Anil Vullikanti, Mahantesh Halappanavar
2017	—	`conf`	High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication. TopHPC Langshi Chen, Bo Peng, Sabra Ossen, Anil Vullikanti, Madhav V. Marathe, Lei Jiang, Judy Qiu
2017	A	`conf`	Near-Optimal and Practical Algorithms for Graph Scan Statistics. SDM Jose Cadena, Feng Chen, Anil Vullikanti
2017	—	`conf`	Spatio-Temporal Optimization of Seasonal Vaccination Using a Metapopulation Model of Influenza. ICHI Srinivasan Venkatramanan, Jiangzhuo Chen, Sandeep Gupta, Bryan L. Lewis, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti
2016	A	`conf`	An efficient and scalable algorithmic method for generating large: scale random graphs. SC Md. Maksudul Alam, Maleq Khan, Anil Vullikanti, Madhav V. Marathe
2016	A*	`conf`	EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. KDD Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Maria Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak K. Gupta, David Mares, Naren Ramakrishnan
2016	J	`jnl`	EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. CoRR Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Maria Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak Gupta, David Mares, Naren Ramakrishnan
2016	J	`jnl`	Forecasting the Flu: Designing Social Network Sensors for Epidemics. CoRR Huijuan Shao, K. S. M. Tozammel Hossain, Hao Wu, Maleq Khan, Anil Vullikanti, B. Aditya Prakash, Madhav V. Marathe, Naren Ramakrishnan
2016	A*	`conf`	Hospital Stockpiling Problems with Inventory Sharing. AAAI Eric Lofgren, Anil Vullikanti
2016	J	`jnl`	Multi-source models for civil unrest forecasting. Soc. Netw. Anal. Min. Gizem Korkmaz, Jose Cadena, Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Naren Ramakrishnan
2016	J	`jnl`	Near-Optimal Algorithms for Controlling Propagation at Group Scale on Networks. IEEE Trans. Knowl. Data Eng. Yao Zhang, Abhijin Adiga, Sudip Saha, Anil Vullikanti, B. Aditya Prakash
2016	A*	`conf`	Temporal Vaccination Games under Resource Constraints. AAAI Abhijin Adiga, Anil Vullikanti
2016	A*	`conf`	To delay or not: Temporal vaccination games on networks. INFOCOM Abhijin Adiga, Srini Venkat, Anil Vullikanti
2015	B	`conf`	Combining Heterogeneous Data Sources for Civil Unrest Forecasting. ASONAM Gizem Korkmaz, Jose Cadena, Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Naren Ramakrishnan
2015	A*	`conf`	Controlling Propagation at Group Scale on Networks. ICDM Yao Zhang, Abhijin Adiga, Anil Vullikanti, B. Aditya Prakash
2015	J	`jnl`	Model-Based Forecasting of Significant Societal Events. IEEE Intell. Syst. 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
2014	J	`jnl`	'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators. CoRR Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares
2014	A*	`conf`	'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. KDD Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares
2014	A	`conf`	Bayesian Inference in Treewidth-Bounded Graphical Models Without Indegree Constraints. UAI Daniel J. Rosenkrantz, Madhav V. Marathe, Ravi Sundaram, Anil Vullikanti
2014	C	`conf`	Impact of a Surface Nuclear Blast on the Transient Stability of the Power System. CRITIS Christopher L. Barrett, Virgilio Centeno, Stephen G. Eubank, C. Yaman Evrenosoglu, Achla Marathe, Madhav V. Marathe, Chetan Mishra, Henning S. Mortveit, Anamitra Pal, Arun G. Phadke, James S. Thorp, Anil Vullikanti, Mina Youssef
2014	J	`jnl`	Sensitivity of Diffusion Dynamics to Network Uncertainty. J. Artif. Intell. Res. Abhijin Adiga, Chris J. Kuhlman, Henning S. Mortveit, Anil Vullikanti
2013	Misc	`conf`	Planning and response in the aftermath of a large crisis: An agent-based informatics framework. WSC Christopher L. Barrett, Keith R. Bisset, Shridhar Chandan, Jiangzhuo Chen, Youngyun Chungbaek, Stephen G. Eubank, C. Yaman Evrenosoglu, Bryan L. Lewis, Kristian Lum, Achla Marathe, Madhav V. Marathe, Henning S. Mortveit, Nidhi Parikh, Arun G. Phadke, Jeffrey H. Reed, Caitlin M. Rivers, Sudip Saha, Paula Elaine Stretz, Samarth Swarup, James S. Thorp, Anil Vullikanti, Dawen Xie
2012	—	`conf`	CINET: A cyberinfrastructure for network science. eScience Sherif Elmeligy Abdelhamid, Richard A. Aló, S. M. Arifuzzaman, Peter H. Beckman, Md Hasanuzzaman Bhuiyan, Keith R. Bisset, Edward A. Fox, Geoffrey Charles Fox, Kevin Hall, S. M. Shamimul Hasan, Anurodh Joshi, Maleq Khan, Chris J. Kuhlman, Spencer J. Lee, Jonathan Leidig, Hemanth Makkapati, Madhav V. Marathe, Henning S. Mortveit, Judy Qiu, S. S. Ravi, Zalia Shams, Ongard Sirisaengtaksin, Rajesh Subbiah, Samarth Swarup, Nick Trebon, Anil Vullikanti, Zhao Zhao
2012	B	`conf`	Low-complexity scheduling for wireless networks. MobiHoc Guanhong Pei, Anil Vullikanti
2010	—	`conf`	Beyond Degree Distributions: Local to Global Structure of Social Contact Graphs. SBP Stephen G. Eubank, Anil Vullikanti, Maleq Khan, Madhav V. Marathe, Christopher L. Barrett
2009	—	`conf`	An Approximation Algorithm for Minimum-Delay Peer-to-Peer Streaming. Peer-to-Peer Computing Fei Huang, Binoy Ravindran, Anil Vullikanti
2009	B	`conf`	Multi-Channel Scheduling Algorithms for Fast Aggregated Convergecast in Sensor Networks. MASS Amitabha Amitava Ghosh, Özlem Durmaz Incel, Bhaskar Krishnamachari, Anil Vullikanti