Bruno U. Pedroni

Orcid: 0000-0001-5789-0487

According to our database1, Bruno U. Pedroni authored at least 24 papers between 2005 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Hierarchical Multicast Network-On-Chip for Scalable Reconfigurable Neuromorphic Systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021
Hierarchical Network Partitioning for Reconfigurable Large-Scale Neuromorphic Systems.
Proceedings of the 2021 International Conference on Rebooting Computing (ICRC), Los Alamitos, CA, USA, November 30, 2021

2020
Design Principles of Large-Scale Neuromorphic Systems Centered on High Bandwidth Memory.
Proceedings of the International Conference on Rebooting Computing, 2020

2019
Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems.
PhD thesis, 2019

Dropout and DropConnect for Reliable Neuromorphic Inference Under Communication Constraints in Network Connectivity.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Performance Trade-offs in Weight Quantization for Memory-Efficient Inference.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

DropOut and DropConnect for Reliable Neuromorphic Inference under Energy and Bandwidth Constraints in Network Connectivity.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

2018
Small-footprint Spiking Neural Networks for Power-efficient Keyword Spotting.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

Unsupervised Synaptic Pruning Strategies for Restricted Boltzmann Machines.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2017
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning.
CoRR, 2017

Hardware-efficient on-line learning through pipelined truncated-error backpropagation in binary-state networks.
CoRR, 2017

Pipelined parallel contrastive divergence for continuous generative model learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Fast classification using sparsely active spiking networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Neuromorphic event-driven multi-scale synaptic connectivity and plasticity.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Mapping Generative Models onto a Network of Digital Spiking Neurons.
IEEE Trans. Biomed. Circuits Syst., 2016

TrueHappiness: Neuromorphic emotion recognition on TrueNorth.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware.
Proceedings of the IEEE International Conference on Rebooting Computing, 2016

Forward table-based presynaptic event-triggered spike-timing-dependent plasticity.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

2015
Mapping Generative Models onto Networks of Digital Spiking Neurons.
CoRR, 2015

Unsupervised Learning in Synaptic Sampling Machines.
CoRR, 2015

Gibbs sampling with low-power spiking digital neurons.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2013
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems.
CoRR, 2013

Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2005
Output stage based high-resolution min/max and rank-order filters.
IEEE Trans. Circuits Syst. II Express Briefs, 2005


  Loading...