Kamal Danouchi

Orcid: 0000-0002-8501-9928

According to our database1, Kamal Danouchi authored at least 11 papers between 2022 and 2024.

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

Timeline

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Bibliography

2024
Enhancing Reliability of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformations.
CoRR, 2024

NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI.
CoRR, 2024

2023
SpinBayes: Algorithm-Hardware Co-Design for Uncertainty Estimation Using Bayesian In-Memory Approximation on Spintronic-Based Architectures.
ACM Trans. Embed. Comput. Syst., October, 2023

Spintronic Memristor-Based Binarized Ensemble Convolutional Neural Network Architectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2023

SpinDrop: Dropout-Based Bayesian Binary Neural Networks With Spintronic Implementation.
IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale.
CoRR, 2023

Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics Implementation.
CoRR, 2023

Robustness and Power Efficiency in Spin-Orbit Torque-Based Probabilistic Logic Circuits.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2023

Scalable Spintronics-based Bayesian Neural Network for Uncertainty Estimation.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022
Binary Bayesian Neural Networks for Efficient Uncertainty Estimation Leveraging Inherent Stochasticity of Spintronic Devices.
Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, 2022

Spin Orbit Torque-based Crossbar Array for Error Resilient Binary Convolutional Neural Network.
Proceedings of the 23rd IEEE Latin American Test Symposium, 2022


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