Kamal Danouchi

According to our database, Kamal Danouchi authored at least 12 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks.

Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori

Proceedings of the IEEE European Test Symposium, 2024

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

Soyed Tuhin Ahmed, Kamal Danouchi, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

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

Soyed Tuhin Ahmed, Kamal Danouchi, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

SpinBayes: Algorithm-Hardware Co-Design for Uncertainty Estimation Using Bayesian In-Memory Approximation on Spintronic-Based Architectures.

Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori

ACM Trans. Embed. Comput. Syst., October, 2023

Spintronic Memristor-Based Binarized Ensemble Convolutional Neural Network Architectures.

Ghislain Takam Tchendjou, Kamal Danouchi, Guillaume Prenat, Lorena Anghel

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2023

SpinDrop: Dropout-Based Bayesian Binary Neural Networks With Spintronic Implementation.

Soyed Tuhin Ahmed, Kamal Danouchi, Christopher Münch, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori

IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

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

Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori

CoRR, 2023

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

Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori

CoRR, 2023

Robustness and Power Efficiency in Spin-Orbit Torque-Based Probabilistic Logic Circuits.

Kamal Danouchi, Guillaume Prenat, Philippe Talatchian, Louis Hutin, Lorena Anghel

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2023

Scalable Spintronics-based Bayesian Neural Network for Uncertainty Estimation.

Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori

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.

Soyed Tuhin Ahmed, Kamal Danouchi, Christopher Münch, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori

Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, 2022

Spin Orbit Torque-based Crossbar Array for Error Resilient Binary Convolutional Neural Network.

Kamal Danouchi, Guillaume Prenat, Lorena Anghel

Proceedings of the 23rd IEEE Latin American Test Symposium, 2022