Matteo Grimaldi

Orcid: 0000-0003-3115-9420

According to our database1, Matteo Grimaldi authored at least 8 papers between 2018 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Dynamic ConvNets on Tiny Devices via Nested Sparsity.
IEEE Internet Things J., 2023

YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2020
EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
Layer-Wise Compressive Training for Convolutional Neural Networks.
Future Internet, 2019

Optimality Assessment of Memory-Bounded ConvNets Deployed on Resource-Constrained RISC Cores.
IEEE Access, 2019

Arbitrary-Precision Convolutional Neural Networks on Low-Power IoT Processors.
Proceedings of the 27th IFIP/IEEE International Conference on Very Large Scale Integration, 2019

2018
A compression-driven training framework for embedded deep neural networks.
Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications, 2018


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