Beatrice Bussolino

Orcid: 0000-0003-2608-820X

According to our database1, Beatrice Bussolino authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024

2022
Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile.
CoRR, 2022

RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks.
IEEE Access, 2022

Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tiles.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations.
Proceedings of the ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1, 2022

NLCMAP: A Framework for the Efficient Mapping of Non-Linear Convolutional Neural Networks on FPGA Accelerators.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2020
An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks.
Future Internet, 2020

Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead.
IEEE Access, 2020

FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2020

2019
X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations.
CoRR, 2019


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