deep-prae

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Deep LearningDeep-PrAE
Overview

Deep Probabilistic Accelerated Evaluation (Deep-PrAE)

Our work presents an efficient rare event simulation methodology for black box autonomy using Importance Sampling.

The preprint paper can be accessed in Deep-PrAE arXiv

The examples illustrated in the paper can be accessed here.

Owner
Safe AI Lab
Research Lab @CMU
Safe AI Lab
GitHub Repository
Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021

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Codes for TIM2021 paper "Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences"

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deep-prae

Deep Probabilistic Accelerated Evaluation (Deep-PrAE) Our work presents an efficient rare event simulation methodology for black box autonomy using Im

Safe AI Lab 4 Apr 17, 2021
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