Michael Hefenbrock
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
12
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DATE | Diagnostic Test Generation for Fault Localization in Printed Neuromorphic Circuits. | Tara Gheshlaghi, Alexander Studt, Priyanjana Pal, Dina A. Moussa, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori |
| 2026 | IOLTS | Functional Self-Test for Deep Neural Networks. | Dina A. Moussa, Michael Hefenbrock, Mehdi B. Tahoori |
| 2026 | VTS | Compact Functional Test Pattern Generation for DNNs Using Evolution Strategies. | Tara Gheshlaghi, Dina A. Moussa, Michael Hefenbrock, Mehdi B. Tahoori |
| 2025 | ASPDAC | Towards Functional Safety of Neural Network Hardware Accelerators: Concurrent Out-of-Distribution Detection in Hardware Using Power Side-Channel Analysis. | Vincent Meyers, Michael Hefenbrock, Mahboobe Sadeghipourrudsari, Dennis Gnad, Mehdi B. Tahoori |
| 2025 | DAC | Power-Constrained Printed Neuromorphic Hardware Training. | Tara Gheshlaghi, Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori |
| 2025 | DATE | ADAPT-pNC: Mitigating Device Variability and Sensor Noise in Printed Neuromorphic Circuits with SO Adaptive Learnable Filters. | Tara Gheshlaghi, Priyanjana Pal, Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori |
| 2025 | ETS | Automatic Test Pattern Generation for Printed Neuromorphic Circuits. | Tara Gheshlaghi, Priyanjana Pal, Alexander Studt, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori |
| 2025 | ICCAD | SpikeSynth: Energy-Efficient Adaptive Analog Printed Spiking Neural Networks. | Priyanjana Pal, Alexander Studt, Tara Gheshlaghi, Michael Hefenbrock, Michael Beigl, Mehdi Baradaran Tahoori |
| 2025 | ITC | Functional Test Generation for In-Field Testing of Deep Learning Models with Test Storage Constraints. | Dina A. Moussa, Michael Hefenbrock, Mehdi B. Tahoori |
| 2024 | DATE | Embedding Hardware Approximations in Discrete Genetic-Based Training for Printed MLPs. | Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis, Mehdi B. Tahoori |
| 2024 | DATE | Analog Printed Spiking Neuromorphic Circuit. | Priyanjana Pal, Haibin Zhao, Maha Shatta, Michael Hefenbrock, Sina Bakhtavari Mamaghani, Sani R. Nassif, Michael Beigl, Mehdi B. Tahoori |
| 2024 | ETS | Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks. | Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori |
| 2024 | ETS | Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers. | Priyanjana Pal, Florentia Afentaki, Haibin Zhao, Gurol Saglam, Michael Hefenbrock, Georgios Zervakis, Michael Beigl, Mehdi B. Tahoori |
| 2024 | ICCAD | Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights. | Soyed Tuhin Ahmed, Michael Hefenbrock, Mehdi B. Tahoori |
| 2024 | ICCAD | Neural Architecture Search for Highly Bespoke Robust Printed Neuromorphic Circuits. | Priyanjana Pal, Haibin Zhao, Tara Gheshlaghi, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori |
| 2024 | IJCNN | Deep Neural Network Pruning with Progressive Regularizer. | Yexu Zhou, Haibin Zhao, Michael Hefenbrock, Siyan Li, Yiran Huang, Michael Beigl |
| 2023 | ASPDAC | Automatic Test Pattern Generation and Compaction for Deep Neural Networks. | Dina A. Moussa, Michael Hefenbrock, Christopher Mnch, Mehdi B. Tahoori |
| 2023 | DATE | Scalable Spintronics-based Bayesian Neural Network for Uncertainty Estimation. | Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori |
| 2023 | DATE | Compact Test Pattern Generation For Multiple Faults In Deep Neural Networks. | Dina A. Moussa, Michael Hefenbrock, Mehdi B. Tahoori |
| 2023 | DATE | Split Additive Manufacturing for Printed Neuromorphic Circuits. | Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori |
| 2023 | DATE | Highly-Bespoke Robust Printed Neuromorphic Circuits. | Haibin Zhao, Brojogopal Sapui, Michael Hefenbrock, Zhidong Yang, Michael Beigl, Mehdi B. Tahoori |
| 2023 | FPL | Remote Identification of Neural Network FPGA Accelerators by Power Fingerprints. | Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi Baradaran Tahoori |
| 2023 | ICCAD | Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits. | Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori |
| 2023 | IJCNN | McXai: Local Model-Agnostic Explanation As Two Games. | Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Michael Beigl |
| 2022 | DATE | In-situ Tuning of Printed Neural Networks for Variation Tolerance. | Michael Hefenbrock, Dennis D. Weller, Jasmin Aghassi-Hagmann, Michael Beigl, Mehdi B. Tahoori |
| 2022 | ETS | Process and Runtime Variation Robustness for Spintronic-Based Neuromorphic Fabric. | Soyed Tuhin Ahmed, Mahta Mayahinia, Michael Hefenbrock, Christopher Mnch, Mehdi B. Tahoori |
| 2022 | ICCAD | Aging-Aware Training for Printed Neuromorphic Circuits. | Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori |
| 2022 | ICONIP | Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning. | Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl |
| 2022 | ISWC | Improving Human Activity Recognition Models by Learnable Sparse Wavelet Layer. | Haibin Zhao, Yexu Zhou, Till Riedel, Michael Hefenbrock, Michael Beigl |
| 2022 | ISWC | TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition. | Yexu Zhou, Haibin Zhao, Yiran Huang, Till Riedel, Michael Hefenbrock, Michael Beigl |
| 2021 | DATE | Printed Stochastic Computing Neural Networks. | Dennis D. Weller, Nathaniel Bleier, Michael Hefenbrock, Jasmin Aghassi-Hagmann, Michael Beigl, Rakesh Kumar, Mehdi B. Tahoori |
| 2021 | ETS | NeuroScrub: Mitigating Retention Failures Using Approximate Scrubbing in Neuromorphic Fabric Based on Resistive Memories. | Soyed Tuhin Ahmed, Michael Hefenbrock, Christopher Mnch, Mehdi B. Tahoori |
| 2020 | ASPDAC | Programmable Neuromorphic Circuit based on Printed Electrolyte-Gated Transistors. | Dennis D. Weller, Michael Hefenbrock, Mehdi Baradaran Tahoori, Jasmin Aghassi-Hagmann, Michael Beigl |
| 2020 | DATE | Fast and Accurate High-Sigma Failure Rate Estimation through Extended Bayesian Optimized Importance Sampling. | Michael Hefenbrock, Dennis D. Weller, Michael Beigl, Mehdi Baradaran Tahoori |
| 2019 | DATE | Predictive Modeling and Design Automation of Inorganic Printed Electronics. | Farhan Rasheed, Michael Hefenbrock, Rajendra Bishnoi, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori |
| 2019 | DATE | Bayesian Optimized Importance Sampling for High Sigma Failure Rate Estimation. | Dennis D. Weller, Michael Hefenbrock, Mohammad Saber Golanbari, Michael Beigl, Mehdi Baradaran Tahoori |