Ramakrishnan Kannan Contact 865.574.9398 | kannanr@ornl.gov All Publications 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 Distributed-Memory Parallel JointNMF Sparse Symmetric Format for Tucker Decomposition 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 Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers PLANC: Parallel Low-rank Approximation with Nonnegativity Constraints Co-design of Advanced Architectures for Graph Analytics using Machine Learning Design Space Exploration of Emerging Memory Technologies for Machine Learning Applications Randomized Algorithms for Scientific Computing (RASC) Efficient Parallel Sparse Symmetric Tucker Decomposition for High-Order Tensors Tensorized Feature Spaces for Feature Explosion Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach 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
