Natarajan, Balasubramaniam

1. Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications
   2022/06/16 by Sai Munikoti, Deepesh Agarwal, Munikoti, Sai +7 · 7 citations
   Engineering · #Green IT and Sustainability #Advanced Memory and Neural Computing #Advanced Sensor and Energy Harvesting Materials
2. A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks
   2022/05/20 by Sai Munikoti, Deepesh Agarwal, Munikoti, Sai +5 · 2 citations
   Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Knowledge-Driven Semantic Communication Enabled by the Geometry of Meaning
   2023/06/05 by Dylan Wheeler, Wheeler, Dylan, Balasubramaniam Natarajan +1 · 1 citation
   Computer Science · Engineering · #Cognitive Computing and Networks #Robotics and Automated Systems #Semantic Web and Ontologies
4. A General Framework for Uncertainty Quantification via Neural SDE-RNN
   2023/06/01 by Dahale, Shweta, Munikoti, Sai, Natarajan, Balasubramaniam · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
   2025/03/31 by Reza Nematirad, Anil Pahwa, Nematirad, Reza +3 · 1 citation
   Engineering · Computer Science · Decision Sciences · #Traffic Prediction and Management Techniques #Time Series Analysis and Forecasting #Stock Market Forecasting Methods