Ramakrishnan {ramki} Kannan Contact KANNANR@ORNL.GOV All Publications Predicting High-Resolution Spatial and Spectral Features in Mass Spectrometry Imaging with Machine Learning and Multimodal Data Fusion AI-Powered Knowledge Graphs for Neuromorphic and Energy-Efficient Computing Counter Data Paucity through Adversarial Invariance Encoding: A Case Study on Modeling Battery Thermal Runaway Accelerated Constrained Sparse Tensor Factorization on Massively Parallel Architectures Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations... Optimizing Communication in 2D Grid-Based MPI Applications at Exascale Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond Sparse Symmetric Format for Tucker Decomposition Distributed-Memory Parallel JointNMF A Parallel Machine Learning Workflow for Neutron Scattering Data Analysis... MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning... Exaflops Biomedical Knowledge Graph Analytics Li-ion Battery Material phase prediction through Hierarchical Curriculum Learning Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice... Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis ORCA: Outlier detection and Robust Clustering for Attributed graphs Co-design Center for Exascale Machine Learning Technologies (ExaLearn) Phoenix: A Scalable Streaming Hypergraph Analysis Framework PLANC: Parallel Low-rank Approximation with Nonnegativity Constraints Co-design of Advanced Architectures for Graph Analytics using Machine Learning Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers Design Space Exploration of Emerging Memory Technologies for Machine Learning Applications Randomized Algorithms for Scientific Computing (RASC) Pagination Current page 1 Page 2 Page 3 Next page ›› Last page Last » Key Links ORCID Personal Website Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Mathematics in Computation Section Discrete Algorithms Group
News Tracing throughlines: A brief history of artificial intelligence at Oak Ridge National Laboratory
