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2020 – today
- 2024
[c7]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: 1-6- [c6]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: 1-6 - [c5]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: 1-6 - [i4]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 abs/2401.06195 (2024) - [i3]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 abs/2401.12416 (2024) - 2023
- [j3]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): 150-164 (2023) - [j2]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): 1885-1897 (2023) - [j1]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): 131:1-131:25 (2023) - [c4]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: 1-6 - [c3]Kamal Danouchi, Guillaume Prenat, Philippe Talatchian, Louis Hutin, Lorena Anghel:
Robustness and Power Efficiency in Spin-Orbit Torque-Based Probabilistic Logic Circuits. ISVLSI 2023: 1-6 - [i2]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 abs/2306.10185 (2023) - [i1]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 abs/2311.15816 (2023) - 2022
- [c2]Kamal Danouchi, Guillaume Prenat, Lorena Anghel:
Spin Orbit Torque-based Crossbar Array for Error Resilient Binary Convolutional Neural Network. LATS 2022: 1-6 - [c1]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: 11:1-11:6
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