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Kamal Danouchi
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 14
Top Topics
Logic Circuits
Neural Network
Contour Matching
Affine Transformation
Top Venues
CoRR
DATE
ACM Trans. Embed. Comput. Syst.
IEEE J. Emerg. Sel. Topics Circuits Syst.
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Publications
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Soyed Tuhin Ahmed
,
Kamal Danouchi
,
Michael Hefenbrock
,
Guillaume Prenat
,
Lorena Anghel
,
Mehdi B. Tahoori
Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks.
ETS
(2024)
Soyed Tuhin Ahmed
,
Kamal Danouchi
,
Guillaume Prenat
,
Lorena Anghel
,
Mehdi B. Tahoori
Enhancing Reliability of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformations.
DATE
(2024)
Soyed Tuhin Ahmed
,
Kamal Danouchi
,
Guillaume Prenat
,
Lorena Anghel
,
Mehdi B. Tahoori
Enhancing Reliability of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformations.
CoRR
(2024)
Soyed Tuhin Ahmed
,
Kamal Danouchi
,
Guillaume Prenat
,
Lorena Anghel
,
Mehdi B. Tahoori
NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI.
CoRR
(2024)
Soyed Tuhin Ahmed
,
Kamal Danouchi
,
Guillaume Prenat
,
Lorena Anghel
,
Mehdi B. Tahoori
NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI.
DATE
(2024)
Soyed Tuhin Ahmed
,
Kamal Danouchi
,
Michael Hefenbrock
,
Guillaume Prenat
,
Lorena Anghel
,
Mehdi B. Tahoori
Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics Implementation.
CoRR
(2023)
Soyed Tuhin Ahmed
,
Kamal Danouchi
,
Michael Hefenbrock
,
Guillaume Prenat
,
Lorena Anghel
,
Mehdi B. Tahoori
Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale.
CoRR
(2023)
Ghislain Takam Tchendjou
,
Kamal Danouchi
,
Guillaume Prenat
,
Lorena Anghel
Spintronic Memristor-Based Binarized Ensemble Convolutional Neural Network Architectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
42 (6) (2023)
Kamal Danouchi
,
Guillaume Prenat
,
Philippe Talatchian
,
Louis Hutin
,
Lorena Anghel
Robustness and Power Efficiency in Spin-Orbit Torque-Based Probabilistic Logic Circuits.
ISVLSI
(2023)
Soyed Tuhin Ahmed
,
Kamal Danouchi
,
Michael Hefenbrock
,
Guillaume Prenat
,
Lorena Anghel
,
Mehdi B. Tahoori
Scalable Spintronics-based Bayesian Neural Network for Uncertainty Estimation.
DATE
(2023)
Soyed Tuhin Ahmed
,
Kamal Danouchi
,
Christopher Münch
,
Guillaume Prenat
,
Lorena Anghel
,
Mehdi B. Tahoori
SpinDrop: Dropout-Based Bayesian Binary Neural Networks With Spintronic Implementation.
IEEE J. Emerg. Sel. Topics Circuits Syst.
13 (1) (2023)
Soyed Tuhin Ahmed
,
Kamal Danouchi
,
Michael Hefenbrock
,
Guillaume Prenat
,
Lorena Anghel
,
Mehdi B. Tahoori
SpinBayes: Algorithm-Hardware Co-Design for Uncertainty Estimation Using Bayesian In-Memory Approximation on Spintronic-Based Architectures.
ACM Trans. Embed. Comput. Syst.
22 (5s) (2023)
Kamal Danouchi
,
Guillaume Prenat
,
Lorena Anghel
Spin Orbit Torque-based Crossbar Array for Error Resilient Binary Convolutional Neural Network.
LATS
(2022)
Soyed Tuhin Ahmed
,
Kamal Danouchi
,
Christopher Münch
,
Guillaume Prenat
,
Lorena Anghel
,
Mehdi B. Tahoori
Binary Bayesian Neural Networks for Efficient Uncertainty Estimation Leveraging Inherent Stochasticity of Spintronic Devices.
NANOARCH
(2022)