Sai Munikoti - RankMe

38 papers B 1Journal 35Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Directional Concentration Uncertainty: A representational approach to uncertainty quantification for generative models. CoRR Souradeep Chattopadhyay, Brendan Kennedy, Sai Munikoti, Soumik Sarkar, Karl Pazdernik
2026	J	`jnl`	Generalist multimodal AI: A review of architectures, challenges and opportunities. Neurocomputing Sai Munikoti, Ian Stewart, Sameera Horawalavithana, Henry Kvinge, Tegan Emerson, Sandra E. Thompson, Karl Pazdernik
2025	J	`jnl`	Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing. CoRR Reilly Raab, Mike Parker, Dan Nally, Sadie Montgomery, Anastasia Bernat, Sai Munikoti, Sameera Horawalavithana
2025	J	`jnl`	Evaluating the Robustness of Dense Retrievers in Interdisciplinary Domains. CoRR Sarthak Chaturvedi, Anurag Acharya, Rounak Meyur, Koby Hayashi, Sai Munikoti, Sameera Horawalavithana
2025	J	`jnl`	GNN-Based Candidate Node Predictor for Influence Maximization in Temporal Graphs. CoRR Priyanka Gautam, Balasubramaniam Natarajan, Sai Munikoti, S. M. Ferdous, Mahantesh Halappanavar
2024	J	`jnl`	Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications. IEEE Trans. Neural Networks Learn. Syst. Sai Munikoti, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, Balasubramaniam Natarajan
2024	J	`jnl`	Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities. CoRR Sai Munikoti, Ian Stewart, Sameera Horawalavithana, Henry Kvinge, Tegan Emerson, Sandra E. Thompson, Karl Pazdernik
2024	J	`jnl`	GraMeR: Graph Meta Reinforcement learning for multi-objective influence maximization. J. Parallel Distributed Comput. Sai Munikoti, Balasubramaniam Natarajan, Mahantesh Halappanavar
2024	J	`jnl`	PermitQA: A Benchmark for Retrieval Augmented Generation in Wind Siting and Permitting domain. CoRR Rounak Meyur, Hung Phan, Sridevi Wagle, Jan Strube, Mahantesh Halappanavar, Sameera Horawalavithana, Anurag Acharya, Sai Munikoti
2024	J	`jnl`	RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension. CoRR Hung Phan, Anurag Acharya, Sarthak Chaturvedi, Shivam Sharma, Mike Parker, Dan Nally, Ali Jannesari, Karl Pazdernik, Mahantesh Halappanavar, Sai Munikoti, Sameera Horawalavithana
2024	J	`jnl`	Surprisingly Fragile: Assessing and Addressing Prompt Instability in Multimodal Foundation Models. CoRR Ian Stewart, Sameera Horawalavithana, Brendan Kennedy, Sai Munikoti, Karl Pazdernik
2023	J	`jnl`	A General Framework for Uncertainty Quantification via Neural SDE-RNN. CoRR Shweta Dahale, Sai Munikoti, Balasubramaniam Natarajan
2023	—	`conf`	A General Spatiotemporal Imputation Framework for Missing Sensor Data. CAI Aabila Tharzeen, Sai Munikoti, Punit Prakash, Jungkwun J. K. Kim, Balasubramaniam Natarajan
2023	J	`jnl`	A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks. Neurocomputing Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan
2023	J	`jnl`	ATLANTIC: Structure-Aware Retrieval-Augmented Language Model for Interdisciplinary Science. CoRR Sai Munikoti, Anurag Acharya, Sridevi Wagle, Sameera Horawalavithana
2023	J	`jnl`	Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for Science. CoRR Sridevi Wagle, Sai Munikoti, Anurag Acharya, Sara Smith, Sameera Horawalavithana
2023	J	`jnl`	Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning. CoRR Sai Munikoti, Anurag Acharya, Sridevi Wagle, Sameera Horawalavithana
2023	—	`conf`	Latent Neural ODE for Integrating Multi-timescale measurements in Smart Distribution Grids. ISGT Shweta Dahale, Sai Munikoti, Balasubramaniam Natarajan, Rui Yang
2023	J	`jnl`	NuclearQA: A Human-Made Benchmark for Language Models for the Nuclear Domain. CoRR Anurag Acharya, Sai Munikoti, Aaron Hellinger, Sara Smith, Sridevi Wagle, Sameera Horawalavithana
2023	J	`jnl`	SCITUNE: Aligning Large Language Models with Scientific Multimodal Instructions. CoRR Sameera Horawalavithana, Sai Munikoti, Ian Stewart, Henry Kvinge
2023	J	`jnl`	There is more to graphs than meets the eye: Learning universal features with self-supervision. CoRR Laya Das, Sai Munikoti, Mahantesh Halappanavar
2022	J	`jnl`	A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks. CoRR Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan
2022	J	`jnl`	Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications. CoRR Sai Munikoti, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, Balasubramaniam Natarajan
2022	J	`jnl`	GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization. CoRR Sai Munikoti, Balasubramaniam Natarajan, Mahantesh Halappanavar
2022	J	`jnl`	Latent Neural ODE for Integrating Multi-timescale measurements in Smart Distribution Grids. CoRR Shweta Dahale, Sai Munikoti, Balasubramaniam Natarajan, Rui Yang
2022	J	`jnl`	Robustness of Power Distribution System: A Comparative Study of Network and Performance Based Metrics. IEEE Access Sai Munikoti, Mohammad Abujubbeh, Balasubramaniam Natarajan
2022	J	`jnl`	Scalable graph neural network-based framework for identifying critical nodes and links in complex networks. Neurocomputing Sai Munikoti, Laya Das, Balasubramaniam Natarajan
2021	J	`jnl`	An Information Theoretic approach to identify Dominant Voltage Influencers for Unbalanced Distribution Systems. CoRR Sai Munikoti, Mohammad Abujubbeh, Kumarsinh Jhala, Balasubramaniam Natarajan
2021	B	`conf`	Bayesian Graph Neural Network for Fast identification of critical nodes in Uncertain Complex Networks. SMC Sai Munikoti, Laya Das, Balasubramaniam Natarajan
2021	J	`jnl`	Robustness assessment of Hetero-functional graph theory based model of interdependent urban utility networks. Reliab. Eng. Syst. Saf. Sai Munikoti, Kexing Lai, Balasubramaniam Natarajan
2020	J	`jnl`	Analytical Voltage Sensitivity Analysis for Unbalanced Power Distribution System. CoRR Sai Munikoti, Kumarsinh Jhala, Kexing Lai, Balasubramaniam Natarajan
2020	J	`jnl`	Bayesian Inductive Learner for Graph Resiliency under uncertainty. CoRR Sai Munikoti, Balasubramaniam Natarajan
2020	J	`jnl`	Graph neural network based approximation of Node Resiliency in complex networks. CoRR Sai Munikoti, Laya Das, Balasubramaniam Natarajan
2020	J	`jnl`	Probabilistic Voltage Sensitivity Analysis (PVSA) to Quantify Impact of High PV Penetration on Unbalanced Distribution System. CoRR Sai Munikoti, Balasubramaniam Natarajan, Kumarsinh Jhala, Kexing Lai
2020	J	`jnl`	Probabilistic Voltage Sensitivity based Preemptive Voltage Monitoring in Unbalanced Distribution Networks. CoRR Mohammad Abujubbeh, Sai Munikoti, Balasubramaniam Natarajan
2020	J	`jnl`	Robustness Assessment of Hetero-Functional Graph Theory Based Model of Interdependent Urban Utility Networks. CoRR Sai Munikoti, Kexing Lai, Balasubramaniam Natarajan
2020	J	`jnl`	Spatio-Temporal Probabilistic Voltage Sensitivity Analysis (ST-PVSA)-A Novel Framework for Hosting Capacity Analysis. CoRR Sai Munikoti, Mohammad Abujubbeh, Kumarsinh Jhala, Balasubramaniam Natarajan
2019	J	`jnl`	Data-Driven Approaches for Diagnosis of Incipient Faults in DC Motors. IEEE Trans. Ind. Informatics Sai Munikoti, Laya Das, Balasubramaniam Natarajan, Babji Srinivasan