Anil Vullikanti

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 134

Top Venues

Publications

Vivek Anand, Jiaming Cui, Jack Heavey, Anil Vullikanti, B. Aditya Prakash
ABM: Heterogeneous Agent-based Model on Hypergraphs to Capture Group Interactions. SDM (2024)
Zihan Guan, Mengxuan Hu, Sheng Li, Anil Vullikanti
UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models. CoRR (2024)
Dung Nguyen, Anil Vullikanti
Differentially private exact recovery for stochastic block models. CoRR (2024)
Dung Nguyen, Ariel Vetzler, Sarit Kraus, Anil Vullikanti
Contrastive explainable clustering with differential privacy. CoRR (2024)
Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti
Strategic Routing and Scheduling for Evacuations. CoRR (2024)
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)
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 (2024)
Alexander Rodríguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash
epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD (2024)
Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti
Strategic Routing and Scheduling for Evacuations. AAMAS (2024)
George Z. Li, Dung Nguyen, Anil Vullikanti
Computing epidemic metrics with edge differential privacy. AISTATS (2024)
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 (2024)
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)
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)
Dung Nguyen, Mahantesh Halappanavar, Venkatesh Srinivasan, Anil Vullikanti
Faster approximate subgraph counts with privacy. NeurIPS (2023)
Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao
PAC-learning for Strategic Classification. J. Mach. Learn. Res. 24 (2023)
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)
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) (2023)
George Z. Li, Dung Nguyen, Anil Vullikanti
Differentially Private Partial Set Cover with Applications to Facility Location. IJCAI (2023)
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)
Ritwick Mishra, Jack Heavey, Gursharn Kaur, Abhijin Adiga, Anil Vullikanti
Reconstructing an Epidemic Outbreak Using Steiner Connectivity. AAAI (2023)
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)
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)
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 (2023)
Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li
Spatial-Temporal Networks for Antibiogram Pattern Prediction. CoRR (2023)
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 (2023)
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)
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) (2023)
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)
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)
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)
Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li
Spatial-Temporal Networks for Antibiogram Pattern Prediction. ICHI (2023)
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 (2023)
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 (2023)
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)
Haolin Liu, Rajmohan Rajaraman, Ravi Sundaram, Anil Vullikanti, Omer Wasim, Haifeng Xu
Sample Complexity of Opinion Formation on Networks. CoRR (2023)
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 (2023)
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)
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)
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)
Amy Babay, Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks. 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)
Mohamed S. Mohamed, Dung Nguyen, Anil Vullikanti, Ravi Tandon
Differentially Private Community Detection for Stochastic Block Models. ICML (2022)
Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
Fair Disaster Containment via Graph-Cut Problems. AISTATS (2022)
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 (2022)
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)
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)
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) (2022)
Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti
Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay. AAAI (2022)
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)
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) (2022)
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)
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 (2022)
Mohamed Seif, Dung Nguyen, Anil Vullikanti, Ravi Tandon
Differentially Private Community Detection for Stochastic Block Models. CoRR (2022)
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)
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)
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. Big Data (2022)
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) (2022)
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)
George Z. Li, Dung Nguyen, Anil Vullikanti
Differentially Private Partial Set Cover with Applications to Facility Location. CoRR (2022)
Amy E. Babay, Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks. AISTATS (2022)
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)
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)
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)
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 (2022)
Dung Nguyen, Anil Vullikanti
Differentially Private Densest Subgraph Detection. ICML (2021)
Dung Nguyen, Anil Vullikanti
Differentially Private Densest Subgraph Detection. CoRR (2021)
Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao
PAC-Learning for Strategic Classification. ICML (2021)
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)
Brian Brubach, Nathaniel Grammel, David G. Harris, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
Approximating Two-Stage Stochastic Supplier Problems. APPROX-RANDOM (2021)
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)
Amy Babay, Michael Dinitz, Prathyush Sambaturu, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
Fair Disaster Containment via Graph-Cut Problems. CoRR (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)
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)
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 (2021)
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)
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)
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)
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 (2020)
Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash
Mapping Network States Using Connectivity Queries. CoRR (2020)
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)
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)
Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash
Mapping Network States using Connectivity Queries. IEEE BigData (2020)
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)
Jose Cadena, Achla Marathe, Anil Vullikanti
Critical Spatial Clusters for Vaccine Preventable Diseases. SBP-BRiMS (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)
Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao
PAC-Learning for Strategic Classification. CoRR (2020)
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)
Aniruddha Adiga, Devdatt P. Dubhashi, Bryan L. Lewis, Madhav Marathe, Srinivasan Venkatramanan, Anil Vullikanti
Models for COVID-19 Pandemic: A Comparative Analysis. CoRR (2020)
Chris J. Kuhlman, Achla Marathe, Anil Vullikanti, Nafisa Halim, Pallab Mozumder
Increasing Evacuation during Disaster Events. AAMAS (2020)
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 (2020)
Maleq Khan, Gopal Pandurangan, Nguyen Dinh Pham, Anil Vullikanti, Qin Zhang
A Multi-criteria Approximation Algorithm for Influence Maximization with Probabilistic Guarantees. ALENEX (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)
Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti
Designing Effective and Practical Interventions to Contain Epidemics. AAMAS (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)
Jose Cadena, Achla Marathe, Anil Vullikanti
Finding Spatial Clusters Susceptible to Epidemic Outbreaks due to Undervaccination. AAMAS (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)
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)
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)
Prathyush Sambaturu, Anil Vullikanti
Designing Robust Interventions to Control Epidemic Outbreaks. COMPLEX NETWORKS (1) (2019)
Saliya Ekanayake, Jose Cadena, Udayanga Wickramasinghe, Anil Vullikanti
MIDAS: Multilinear detection at scale. J. Parallel Distributed Comput. 132 (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Anil Vullikanti