Anil Vullikanti
68 publications
15 venues
H Index 10
Affiliation
Virginia Tech, Biocomplexity Institute, Blacksburg, VA, USALos Alamos National Laboratory, NM, USA
Max Planck Institute for Informatics, Saarbr cken, Germany
Indian Institute of Science, Bangalore, India
Links
DBLPGoogle Scholar
ORCID- https://engineering.virginia.edu/faculty/anil-vullikanti
- https://biocomplexity.virginia.edu/person/anil-vullikanti
- https://www.bi.vt.edu/ndssl/people/Anil-Vullikanti
- http://ndssl.vbi.vt.edu/people/vskumar.html
- https://www.linkedin.com/in/anil-vullikanti-660a894
- https://www.wikidata.org/entity/Q91337715
- https://www.wikidata.org/entity/Q67088320
- https://dblp.uni-trier.de/pers/hd/k/Kumar_0001:V=_S=_Anil
| Name | Venue | Year | citations |
|---|---|---|---|
Learning the Topology and Behavior of Discrete Dynamical Systems.
|
AAAI | 2024 | 0 |
| Differentially private exact recovery for stochastic block models.
|
ICML | 2024 | 0 |
| Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks.
|
ICML | 2024 | 0 |
| H
|
SDM | 2024 | 0 |
| Value-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading.
|
AAMAS | 2024 | 0 |
| Assessing Fairness of Residential Dynamic Pricing for Electricity using Active Learning with Agent-based Simulation.
|
AAMAS | 2024 | 0 |
| Strategic Routing and Scheduling for Evacuations.
|
AAMAS | 2024 | 0 |
| Computing epidemic metrics with edge differential privacy.
|
AISTATS | 2024 | 0 |
| epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.
|
KDD | 2024 | 0 |
| Reconstructing an Epidemic Outbreak Using Steiner Connectivity.
|
AAAI | 2023 | 0 |
| Detecting Sources of Healthcare Associated Infections.
|
AAAI | 2023 | 0 |
| Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence.
|
AAAI | 2023 | 0 |
| Assigning Agents to Increase Network-Based Neighborhood Diversity.
|
AAMAS | 2023 | 0 |
| Towards Optimal and Scalable Evacuation Planning Using Data-driven Agent Based Models.
|
AAMAS | 2023 | 0 |
| Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers.
|
IJCAI | 2023 | 0 |
| Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays.
|
IJCAI | 2023 | 0 |
| Differentially Private Partial Set Cover with Applications to Facility Location.
|
IJCAI | 2023 | 0 |
| A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection.
|
KDD | 2023 | 0 |
| epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.
|
KDD | 2023 | 0 |
| Identifying Complicated Contagion Scenarios from Cascade Data.
|
KDD | 2023 | 0 |
| Faster approximate subgraph counts with privacy.
|
NIPS/NeurIPS | 2023 | 0 |
| PAC-learning for Strategic Classification.
|
JMLR | 2023 | 0 |
| Deploying vaccine distribution sites for improved accessibility and equity to support pandemic response.
|
Autonomous Agents and Multi-Agent Systems | 2023 | 0 |
| Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics.
|
AAAI | 2022 | 0 |
| A framework for the comparison of agent-based models.
|
Autonomous Agents and Multi-Agent Systems | 2022 | 0 |
| Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries.
|
ICML | 2022 | 0 |
| Effective Social Network-Based Allocation of COVID-19 Vaccines.
|
KDD | 2022 | 1 |
| Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response.
|
AAMAS | 2022 | 1 |
| A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles.
|
IJCAI | 2022 | 0 |
| Differentially Private Community Detection for Stochastic Block Models.
|
ICML | 2022 | 3 |
| epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.
|
KDD | 2022 | 0 |
| Data-driven Agent-based Models for Optimal Evacuation of Large Metropolitan Areas for Improved Disaster Planning.
|
AAMAS | 2022 | 2 |
| Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks.
|
AISTATS | 2022 | 3 |
| Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method.
|
IJCAI | 2022 | 0 |
| Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay.
|
AAAI | 2022 | 1 |
| Incorporating Fairness in Large-scale Evacuation Planning.
|
CIKM | 2022 | 0 |
| Theoretical Models and Preliminary Results for Contact Tracing and Isolation.
|
AAMAS | 2022 | 0 |
| Fair Disaster Containment via Graph-Cut Problems.
|
AISTATS | 2022 | 0 |
| Differentially Private Densest Subgraph Detection.
|
ICML | 2021 | 6 |
| The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021).
|
KDD | 2021 | 1 |
| Persistence of Anti-vaccine Sentiment in Social Networks Through Strategic Interactions.
|
AAAI | 2021 | 1 |
| PAC-Learning for Strategic Classification.
|
ICML | 2021 | 0 |
| Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems.
|
AAAI | 2020 | 3 |
| An Active Learning Method for the Comparison of Agent-based Models.
|
AAMAS | 2020 | 2 |
| Increasing Evacuation during Disaster Events.
|
AAMAS | 2020 | 1 |
| Finding Spatial Clusters Susceptible to Epidemic Outbreaks due to Undervaccination.
|
AAMAS | 2020 | 4 |
| Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability.
|
AAAI | 2020 | 9 |
| Designing Effective and Practical Interventions to Contain Epidemics.
|
AAMAS | 2020 | 16 |
| PAC Learnability of Node Functions in Networked Dynamical Systems.
|
ICML | 2019 | 5 |
| Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications.
|
AAAI | 2018 | 3 |
| Graph Scan Statistics With Uncertainty.
|
AAAI | 2018 | 4 |
| Near-Optimal Mapping of Network States using Probes.
|
SDM | 2018 | 4 |
| Designing Incentives to Maximize the Adoption of Rooftop Solar Technology.
|
AAMAS | 2018 | 5 |
| Near-Optimal and Practical Algorithms for Graph Scan Statistics.
|
SDM | 2017 | 16 |
| Data-Driven Immunization.
|
ICDM | 2017 | 9 |
| Hospital Stockpiling Problems with Inventory Sharing.
|
AAAI | 2016 | 4 |
| EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System.
|
KDD | 2016 | 31 |
| On Dense Subgraphs in Signed Network Streams.
|
ICDM | 2016 | 18 |
| Temporal Vaccination Games under Resource Constraints.
|
AAAI | 2016 | 3 |
| Controlling Propagation at Group Scale on Networks.
|
ICDM | 2015 | 27 |
| Approximation Algorithms for Reducing the Spectral Radius to Control Epidemic Spread.
|
SDM | 2015 | 81 |
| 'Beating the news' with EMBERS: forecasting civil unrest using open source indicators.
|
KDD | 2014 | 228 |
| Equilibria in Epidemic Containment Games.
|
AAAI | 2014 | 16 |
| Bayesian Inference in Treewidth-Bounded Graphical Models Without Indegree Constraints.
|
UAI | 2014 | 1 |
| Sensitivity of Diffusion Dynamics to Network Uncertainty.
|
JAIR | 2014 | 0 |
| Sensitivity of Diffusion Dynamics to Network Uncertainty.
|
AAAI | 2013 | 25 |
| How Robust Is the Core of a Network?
|
ECML/PKDD | 2013 | 31 |
| Subgraph Enumeration in Dynamic Graphs.
|
ICDM | 2013 | 1 |