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School of Computational Science and Engineering
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Publication Search Results
Methodologies for co-designing supercomputer-scale systems and deep learning software
Safe Explanations And Explainable Models For Neuroimaging Data Through A Framework Of Constraints
Fast and compact neural network via Tensor-Train reparameterization
Artificial Intelligence for Data-centric Surveillance and Forecasting of Epidemics
Accurate and Trustworthy Recommender Systems: Algorithms and Findings
Interactive Scalable Discovery Of Concepts, Evolutions, And Vulnerabilities In Deep Learning
Scalable Algorithms for Hypergraph Analytics using Symmetric Tensor Decompositions
Federated approaches for the visualization and analysis of neuroimaging data
Learning with Less: Low-rank Dynamics, Communication, and Introspection in Machine Learning
Multifidelity Memory System Simulation