Rahul Nellikkath

Orcid: 0000-0002-7725-4784

According to our database1, Rahul Nellikkath authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Scalable Exact Verification of Optimization Proxies for Large-Scale Optimal Power Flow.
CoRR, 2024

Correctness Verification of Neural Networks Approximating Differential Equations.
CoRR, 2024

2023
Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees.
CoRR, 2023

Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment.
CoRR, 2023

2022
Minimizing Worst-Case Violations of Neural Networks.
CoRR, 2022

Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations.
CoRR, 2022

Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems.
CoRR, 2022

2021
Network-Aware Flexibility Requests for Distribution-Level Flexibility Markets.
CoRR, 2021

Physics-Informed Neural Networks for AC Optimal Power Flow.
CoRR, 2021

Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow.
Proceedings of the IEEE International Conference on Communications, 2021


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