Jaehoon Koo | DeepAI

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∙ 03/28/2023

ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales

As we enter the exascale computing era, efficiently utilizing power and ...

0 Xingfu Wu, et al. ∙

∙ 10/03/2022

HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization

Distributed data storage services tailored to specific applications have...

0 Matthieu Dorier, et al. ∙

∙ 05/10/2021

Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations

Polly is the LLVM project's polyhedral loop nest optimizer. Recently, us...

0 Jaehoon Koo, et al. ∙

∙ 09/29/2020

Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples

Most recent machine learning research focuses on developing new classifi...

1 Jaehoon Koo, et al. ∙

∙ 08/08/2019

Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics

Efficient network slicing is vital to deal with the highly variable and ...

0 Jaehoon Koo, et al. ∙

∙ 09/25/2018

Combined convolutional and recurrent neural networks for hierarchical classification of images

Deep learning models based on CNNs are predominantly used in image class...

12 Jaehoon Koo, et al. ∙

∙ 04/25/2018

Improved Classification Based on Deep Belief Networks

For better classification generative models are used to initialize the m...

0 Jaehoon Koo, et al. ∙

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