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Fault-Criticality Assessment for AI Accelerators using Graph Convolutional Networks.

, , , , and . DATE, page 1596-1599. IEEE, (2021)

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Advances in Testing and Design-for-Test Solutions for M3D Integrated Circuits., , , and . DATE, page 152-157. IEEE, (2021)Efficient Fault-Criticality Analysis for AI Accelerators using a Neural Twin∗., , , , , and . ITC, page 73-82. IEEE, (2021)Functional Criticality Classification of Structural Faults in AI Accelerators., , , and . ITC, page 1-5. IEEE, (2020)Innovation Practices Track: Testability and Dependability of AI Hardware and Autonomous Systems., , , and . VTS, page 1. IEEE, (2023)Machine Learning for Testing Machine-Learning Hardware: A Virtuous Cycle., , and . ICCAD, page 160:1-160:6. ACM, (2022)Structural Test Generation for AI Accelerators using Neural Twins., , and . IOLTS, page 1-6. IEEE, (2022)Single Chip Self-Tunable N-Input N-Output PID Control System with Integrated Analog Front-end for Miniature Robotics., , and . CoRR, (2016)RTL-to-GDS Design Tools for Monolithic 3D ICs., , , , , , , , , and . ICCAD, page 126:1-126:8. IEEE, (2020)Functional Test Generation for AI Accelerators using Bayesian Optimization∗., , , and . VTS, page 1-6. IEEE, (2023)Special Session: Fault Criticality Assessment in AI Accelerators., , and . VTS, page 1-4. IEEE, (2022)