Anil Vullikanti

Name Venue Year citations
Prediction of Hospital Associated Infections During Continuous Hospital Stays. AAAI 2026 0
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety. ICML 2025 20
Accurately Estimating Unreported Infections using Information Theory. SDM 2025 0
Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data. ICLR 2025 1
Sample Complexity of Linear Regression Models for Opinion Formation in Networks. AAAI 2025 0
UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models. AAAI 2025 0
Contrastive Explainable Clustering with Differential Privacy. AAMAS 2025 0
Differentially private exact recovery for stochastic block models. ICML 2024 5
Value-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading. AAMAS 2024 1
Computing epidemic metrics with edge differential privacy. AISTATS 2024 4
Learning the Topology and Behavior of Discrete Dynamical Systems. AAAI 2024 2
Assessing Fairness of Residential Dynamic Pricing for Electricity using Active Learning with Agent-based Simulation. AAMAS 2024 1
Strategic Routing and Scheduling for Evacuations. AAMAS 2024 1
epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD 2024 0
Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks. ICML 2024 1
H SDM 2024 0
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. KDD 2023 8
Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence. AAAI 2023 0
Assigning Agents to Increase Network-Based Neighborhood Diversity. AAMAS 2023 2
Reconstructing an Epidemic Outbreak Using Steiner Connectivity. AAAI 2023 7
epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD 2023 1
Faster approximate subgraph counts with privacy. NIPS/NeurIPS 2023 7
Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers. IJCAI 2023 1
Towards Optimal and Scalable Evacuation Planning Using Data-driven Agent Based Models. AAMAS 2023 0
Identifying Complicated Contagion Scenarios from Cascade Data. KDD 2023 3
Detecting Sources of Healthcare Associated Infections. AAAI 2023 6
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
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
Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response. AAMAS 2022 3
Differentially Private Community Detection for Stochastic Block Models. ICML 2022 23
A framework for the comparison of agent-based models. Autonomous Agents and Multi-Agent Systems 2022 3
Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks. AISTATS 2022 8
Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics. AAAI 2022 0
A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles. IJCAI 2022 4
Effective Social Network-Based Allocation of COVID-19 Vaccines. KDD 2022 17
Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method. IJCAI 2022 0
Data-driven Agent-based Models for Optimal Evacuation of Large Metropolitan Areas for Improved Disaster Planning. AAMAS 2022 4
Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries. ICML 2022 4
Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay. AAAI 2022 3
epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD 2022 0
Incorporating Fairness in Large-scale Evacuation Planning. CIKM 2022 4
Theoretical Models and Preliminary Results for Contact Tracing and Isolation. AAMAS 2022 0
Fair Disaster Containment via Graph-Cut Problems. AISTATS 2022 0
The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). KDD 2021 2
Differentially Private Densest Subgraph Detection. ICML 2021 25
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
Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability. AAAI 2020 15
Increasing Evacuation during Disaster Events. AAMAS 2020 2
An Active Learning Method for the Comparison of Agent-based Models. AAMAS 2020 6
Finding Spatial Clusters Susceptible to Epidemic Outbreaks due to Undervaccination. AAMAS 2020 4
Designing Effective and Practical Interventions to Contain Epidemics. AAMAS 2020 23
PAC Learnability of Node Functions in Networked Dynamical Systems. ICML 2019 8
Near-Optimal Mapping of Network States using Probes. SDM 2018 6
Designing Incentives to Maximize the Adoption of Rooftop Solar Technology. AAMAS 2018 5
Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications. AAAI 2018 5
Graph Scan Statistics With Uncertainty. AAAI 2018 6
Data-Driven Immunization. ICDM 2017 12
Near-Optimal and Practical Algorithms for Graph Scan Statistics. SDM 2017 19
Hospital Stockpiling Problems with Inventory Sharing. AAAI 2016 5
Temporal Vaccination Games under Resource Constraints. AAAI 2016 3
On Dense Subgraphs in Signed Network Streams. ICDM 2016 31
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. KDD 2016 39
Inhibiting diffusion of complex contagions in social networks: theoretical and experimental results. DMKD 2015 31
Controlling Propagation at Group Scale on Networks. ICDM 2015 31
Approximation Algorithms for Reducing the Spectral Radius to Control Epidemic Spread. SDM 2015 98
Equilibria in Epidemic Containment Games. AAAI 2014 18
Bayesian Inference in Treewidth-Bounded Graphical Models Without Indegree Constraints. UAI 2014 1
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. KDD 2014 262
Computational epidemiology. KDD 2014 0
Sensitivity of Diffusion Dynamics to Network Uncertainty. JAIR 2014 0
Subgraph Enumeration in Dynamic Graphs. ICDM 2013 1
Sensitivity of Diffusion Dynamics to Network Uncertainty. AAAI 2013 29
How Robust Is the Core of a Network? ECML/PKDD 2013 37
Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks. ECML/PKDD 2010 45
Copyright ©2019 Universität Würzburg

Impressum | Privacy | FAQ