Distributed Programming via Safe Closure Passing

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Distributed Programming via Safe Closure Passing

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Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Functional data analysis with rough sample paths?

Validating functional redundancy with mixed generative adversarial networks

Methodology for selecting measurement points that optimize information gain for model updating

Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data

Interactive-time Exploration, Querying, and Analysis of Large High-dimensional Datasets

Type-Preserving Compilation of Class-Based Languages

Straight to the Queue: Fast Load-Store Queue Allocation in Dataflow Circuits

Data-driven Methods for Control: from Linear to Lifting

Reinforcement Learning for Joint Design and Control of Battery-PV Systems

E-Scan: Consuming Contextual Data with Model Plugins

Dated: Guidelines for Creating Synthetic Datasets for Engineering Design Applications