Sai Munikoti

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Inter Document Similarities

Influence Maximization

Distribution Networks

Top Venues

IEEE Trans. Ind. Informatics

Publications

Sai Munikoti, Ian Stewart, Sameera Horawalavithana, Henry Kvinge, Tegan Emerson, Sandra E. Thompson, Karl Pazdernik
Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities. CoRR (2024)
Hung Phan, Anurag Acharya, Sarthak Chaturvedi, Shivam Sharma, Mike Parker, Dan Nally, Ali Jannesari, Karl Pazdernik, Mahantesh Halappanavar, Sai Munikoti, Sameera Horawalavithana
RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension. CoRR (2024)
Sai Munikoti, Anurag Acharya, Sridevi Wagle, Sameera Horawalavithana
ATLANTIC: Structure-Aware Retrieval-Augmented Language Model for Interdisciplinary Science. CoRR (2023)
Sai Munikoti, Anurag Acharya, Sridevi Wagle, Sameera Horawalavithana
Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning. CoRR (2023)
Sridevi Wagle, Sai Munikoti, Anurag Acharya, Sara Smith, Sameera Horawalavithana
Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for Science. CoRR (2023)
Shweta Dahale, Sai Munikoti, Balasubramaniam Natarajan
A General Framework for Uncertainty Quantification via Neural SDE-RNN. CoRR (2023)
Anurag Acharya, Sai Munikoti, Aaron Hellinger, Sara Smith, Sridevi Wagle, Sameera Horawalavithana
NuclearQA: A Human-Made Benchmark for Language Models for the Nuclear Domain. CoRR (2023)
Shweta Dahale, Sai Munikoti, Balasubramaniam Natarajan, Rui Yang
Latent Neural ODE for Integrating Multi-timescale measurements in Smart Distribution Grids. ISGT (2023)
Laya Das, Sai Munikoti, Mahantesh Halappanavar
There is more to graphs than meets the eye: Learning universal features with self-supervision. CoRR (2023)
Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan
A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks. Neurocomputing 521 (2023)
Sameera Horawalavithana, Sai Munikoti, Ian Stewart, Henry Kvinge
SCITUNE: Aligning Large Language Models with Scientific Multimodal Instructions. CoRR (2023)
Shweta Dahale, Sai Munikoti, Balasubramaniam Natarajan, Rui Yang
Latent Neural ODE for Integrating Multi-timescale measurements in Smart Distribution Grids. CoRR (2022)
Sai Munikoti, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, Balasubramaniam Natarajan
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications. CoRR (2022)
Sai Munikoti, Balasubramaniam Natarajan, Mahantesh Halappanavar
GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization. CoRR (2022)
Sai Munikoti, Mohammad Abujubbeh, Balasubramaniam Natarajan
Robustness of Power Distribution System: A Comparative Study of Network and Performance Based Metrics. IEEE Access 10 (2022)
Sai Munikoti, Laya Das, Balasubramaniam Natarajan
Scalable graph neural network-based framework for identifying critical nodes and links in complex networks. Neurocomputing 468 (2022)
Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks. CoRR (2022)
Sai Munikoti, Kexing Lai, Balasubramaniam Natarajan
Robustness assessment of Hetero-functional graph theory based model of interdependent urban utility networks. Reliab. Eng. Syst. Saf. 212 (2021)
Sai Munikoti, Laya Das, Balasubramaniam Natarajan
Bayesian Graph Neural Network for Fast identification of critical nodes in Uncertain Complex Networks. SMC (2021)
Sai Munikoti, Mohammad Abujubbeh, Kumarsinh Jhala, Balasubramaniam Natarajan
An Information Theoretic approach to identify Dominant Voltage Influencers for Unbalanced Distribution Systems. CoRR (2021)
Sai Munikoti, Balasubramaniam Natarajan
Bayesian Inductive Learner for Graph Resiliency under uncertainty. CoRR (2020)
Sai Munikoti, Mohammad Abujubbeh, Kumarsinh Jhala, Balasubramaniam Natarajan
Spatio-Temporal Probabilistic Voltage Sensitivity Analysis (ST-PVSA)-A Novel Framework for Hosting Capacity Analysis. CoRR (2020)
Mohammad Abujubbeh, Sai Munikoti, Balasubramaniam Natarajan
Probabilistic Voltage Sensitivity based Preemptive Voltage Monitoring in Unbalanced Distribution Networks. CoRR (2020)
Sai Munikoti, Kexing Lai, Balasubramaniam Natarajan
Robustness Assessment of Hetero-Functional Graph Theory Based Model of Interdependent Urban Utility Networks. CoRR (2020)
Sai Munikoti, Kumarsinh Jhala, Kexing Lai, Balasubramaniam Natarajan
Analytical Voltage Sensitivity Analysis for Unbalanced Power Distribution System. CoRR (2020)
Sai Munikoti, Balasubramaniam Natarajan, Kumarsinh Jhala, Kexing Lai
Probabilistic Voltage Sensitivity Analysis (PVSA) to Quantify Impact of High PV Penetration on Unbalanced Distribution System. CoRR (2020)
Sai Munikoti, Laya Das, Balasubramaniam Natarajan
Graph neural network based approximation of Node Resiliency in complex networks. CoRR (2020)
Sai Munikoti, Laya Das, Balasubramaniam Natarajan, Babji Srinivasan
Data-Driven Approaches for Diagnosis of Incipient Faults in DC Motors. IEEE Trans. Ind. Informatics 15 (9) (2019)