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08/13/2023
When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA
Bayesian Neural Networks (BayesNNs) have demonstrated their capability o...
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06/14/2023
MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration
This paper introduces a novel optimization framework for deep neural net...
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09/28/2022
LL-GNN: Low Latency Graph Neural Networks on FPGAs for Particle Detectors
This work proposes a novel reconfigurable architecture for low latency G...
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11/24/2021
Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator
Recent advances in algorithm-hardware co-design for deep neural networks...
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06/26/2021