Soyed Tuhin Ahmed

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 28

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Publications

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, Mahta Mayahinia, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori
Design-time Reference Current Generation for Robust Spintronic-based Neuromorphic Architecture. ACM J. Emerg. Technol. Comput. Syst. 20 (1) (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, Surendra Hemaram, Mehdi B. Tahoori
NN-ECC: Embedding Error Correction Codes in Neural Network Weight Memories using Multi-task Learning. VTS (2024)
Soyed Tuhin Ahmed, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori
Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks. CoRR (2024)
Soyed Tuhin Ahmed
Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning. CoRR (2024)
Soyed Tuhin Ahmed, Mehdi Baradaran Tahoori
Concurrent Self-testing of Neural Networks Using Uncertainty Fingerprint. CoRR (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, Mehdi B. Tahoori
Few-Shot Testing: Estimating Uncertainty of Memristive Deep Neural Networks Using One Bayesian Test Vector. 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, Michael Hefenbrock, Mehdi B. Tahoori
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights. CoRR (2024)
Soyed Tuhin Ahmed, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori
NeuroScrub+: Mitigating Retention Faults Using Flexible Approximate Scrubbing in Neuromorphic Fabric Based on Resistive Memories. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (5) (2023)
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)
Soyed Tuhin Ahmed, Roman Rakhmatullin, Mehdi B. Tahoori
Online Fault-Tolerance for Memristive Neuromorphic Fabric Based on Local Approximation. ETS (2023)
Soyed Tuhin Ahmed, Mehdi B. Tahoori
One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection. CoRR (2023)
Surendra Hemaram, Soyed Tuhin Ahmed, Mahta Mayahinia, Christopher Münch, Mehdi B. Tahoori
A Low Overhead Checksum Technique for Error Correction in Memristive Crossbar for Deep Learning Applications. VTS (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)
Soyed Tuhin Ahmed, Mehdi B. Tahoori
Fault-Tolerant Neuromorphic Computing With Memristors Using Functional ATPG for Efficient Recalibration. IEEE Des. Test 40 (4) (2023)
Soyed Tuhin Ahmed, Mehdi B. Tahoori
Compact Functional Test Generation for Memristive Deep Learning Implementations using Approximate Gradient Ranking. ITC (2022)
Soyed Tuhin Ahmed, Mehdi B. Tahoori
Fault-tolerant Neuromorphic Computing with Functional ATPG for Post-manufacturing Re-calibration. VTS (2022)
Atousa Jafari, Mahta Mayahinia, Soyed Tuhin Ahmed, Christopher Münch, Mehdi B. Tahoori
MVSTT: A Multi-Value Computation-in-Memory based on Spin-Transfer Torque Memories. DSD (2022)
Soyed Tuhin Ahmed, Mahta Mayahinia, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori
Process and Runtime Variation Robustness for Spintronic-Based Neuromorphic Fabric. ETS (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)
Soyed Tuhin Ahmed, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori
NeuroScrub: Mitigating Retention Failures Using Approximate Scrubbing in Neuromorphic Fabric Based on Resistive Memories. ETS (2021)