Michael Hefenbrock

According to our database, Michael Hefenbrock authored at least 44 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Design-time Reference Current Generation for Robust Spintronic-based Neuromorphic Architecture.

Soyed Tuhin Ahmed, Mahta Mayahinia, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori

ACM J. Emerg. Technol. Comput. Syst., January, 2024

Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs.

Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis, Mehdi B. Tahoori

CoRR, 2024

Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks.

Soyed Tuhin Ahmed, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori

CoRR, 2024

2023

SpinBayes: Algorithm-Hardware Co-Design for Uncertainty Estimation Using Bayesian In-Memory Approximation on Spintronic-Based Architectures.

Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori

ACM Trans. Embed. Comput. Syst., October, 2023

NeuroScrub+: Mitigating Retention Faults Using Flexible Approximate Scrubbing in Neuromorphic Fabric Based on Resistive Memories.

Soyed Tuhin Ahmed, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2023

Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale.

Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori

CoRR, 2023

New Horizons in Parameter Regularization: A Constraint Approach.

Jörg K. H. Franke, Michael Hefenbrock, Gregor Köhler, Frank Hutter

CoRR, 2023

Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics Implementation.

Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori

CoRR, 2023

Towards Temporal Information Processing - Printed Neuromorphic Circuits with Learnable Filters.

Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi Baradaran Tahoori

Proceedings of the 18th ACM International Symposium on Nanoscale Architectures, 2023

McXai: Local Model-Agnostic Explanation As Two Games.

Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Michael Beigl

Proceedings of the International Joint Conference on Neural Networks, 2023

Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits.

Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Remote Identification of Neural Network FPGA Accelerators by Power Fingerprints.

Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi Baradaran Tahoori

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

Highly-Bespoke Robust Printed Neuromorphic Circuits.

Haibin Zhao, Brojogopal Sapui, Michael Hefenbrock, Zhidong Yang, Michael Beigl, Mehdi B. Tahoori

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Split Additive Manufacturing for Printed Neuromorphic Circuits.

Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Compact Test Pattern Generation For Multiple Faults In Deep Neural Networks.

Dina A. Moussa, Michael Hefenbrock, Mehdi B. Tahoori

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Scalable Spintronics-based Bayesian Neural Network for Uncertainty Estimation.

Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Automatic Test Pattern Generation and Compaction for Deep Neural Networks.

Dina A. Moussa, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Modelling and Training Printed Neuromorphic Circuits

Michael Hefenbrock

PhD thesis, 2022

Fast and Efficient High-Sigma Yield Analysis and Optimization Using Kernel Density Estimation on a Bayesian Optimized Failure Rate Model.

Dennis D. Weller, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

McXai: Local model-agnostic explanation as two games.

Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Likun Fang, Michael Beigl

CoRR, 2022

Counterfeit Detection and Prevention in Additive Manufacturing Based on Unique Identification of Optical Fingerprints of Printed Structures.

Ahmet Turan Erozan, Michael Hefenbrock, Dennis R. E. Gnad, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi B. Tahoori

IEEE Access, 2022

Automatic Feature Engineering Through Monte Carlo Tree Search.

Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition.

Yexu Zhou, Haibin Zhao, Yiran Huang, Till Riedel, Michael Hefenbrock, Michael Beigl

Proceedings of the 2022 ACM International Symposium on Wearable Computers, 2022

Improving Human Activity Recognition Models by Learnable Sparse Wavelet Layer.

Haibin Zhao, Yexu Zhou, Till Riedel, Michael Hefenbrock, Michael Beigl

Proceedings of the 2022 ACM International Symposium on Wearable Computers, 2022

Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning.

Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Aging-Aware Training for Printed Neuromorphic Circuits.

Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Process and Runtime Variation Robustness for Spintronic-Based Neuromorphic Fabric.

Soyed Tuhin Ahmed, Mahta Mayahinia, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori

Proceedings of the IEEE European Test Symposium, 2022

In-situ Tuning of Printed Neural Networks for Variation Tolerance.

Michael Hefenbrock, Dennis D. Weller, Jasmin Aghassi-Hagmann, Michael Beigl, Mehdi B. Tahoori

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

NeuroScrub: Mitigating Retention Failures Using Approximate Scrubbing in Neuromorphic Fabric Based on Resistive Memories.

Soyed Tuhin Ahmed, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori

Proceedings of the 26th IEEE European Test Symposium, 2021

Printed Stochastic Computing Neural Networks.

Dennis D. Weller, Nathaniel Bleier, Michael Hefenbrock, Jasmin Aghassi-Hagmann, Michael Beigl, Rakesh Kumar, Mehdi B. Tahoori

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Detecting Episodes of Increased Cough Using Kinetic Earables.

Tobias Röddiger, Michael Beigl, Michael Hefenbrock, Daniel Wolffram, Erik Pescara

Proceedings of the AHs '21: Augmented Humans Conference 2021, 2021

2020

Reverse Engineering of Printed Electronics Circuits: From Imaging to Netlist Extraction.

Ahmet Turan Erozan, Michael Hefenbrock, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori

IEEE Trans. Inf. Forensics Secur., 2020

Bayesian Optimized Mixture Importance Sampling for High-Sigma Failure Rate Estimation.

Dennis D. Weller, Michael Hefenbrock, Mohammad Saber Golanbari, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi B. Tahoori

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Crossover-aware Placement and Routing for Inkjet Printed Circuits.

Farhan Rasheed, Michael Hefenbrock, Rajendra Bishnoi, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori

ACM J. Emerg. Technol. Comput. Syst., 2020

Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone.

Yexu Zhou, Yuting Gao, Yiran Huang, Michael Hefenbrock, Till Riedel, Michael Beigl

CoRR, 2020

Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone.

Yexu Zhou, Michael Hefenbrock, Yiran Huang, Till Riedel, Michael Beigl

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Scalable selection of EEG features for compression.

Yuma Tsurugasaki, Koichi Shimoda, Michael Hefenbrock, Akihito Taya, Sejun Song, Yoshito Tobe

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Fast and Accurate High-Sigma Failure Rate Estimation through Extended Bayesian Optimized Importance Sampling.

Michael Hefenbrock, Dennis D. Weller, Michael Beigl, Mehdi Baradaran Tahoori

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Programmable Neuromorphic Circuit based on Printed Electrolyte-Gated Transistors.

Dennis D. Weller, Michael Hefenbrock, Mehdi Baradaran Tahoori, Jasmin Aghassi-Hagmann, Michael Beigl

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

Image PUF: A Physical Unclonable Function for Printed Electronics based on Optical Variation of Printed Inks.

Ahmet Turan Erozan, Michael Hefenbrock, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori

IACR Cryptol. ePrint Arch., 2019

Identification of Effective EEG Electrodes for Depression Sensing.

Yuma Tsurugasaki, Katsuhiro Mori, Michael Hefenbrock, Yoshito Tobe

Proceedings of the Intelligent Environments 2019, 2019

Bayesian Optimized Importance Sampling for High Sigma Failure Rate Estimation.

Dennis D. Weller, Michael Hefenbrock, Mohammad Saber Golanbari, Michael Beigl, Mehdi Baradaran Tahoori

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Predictive Modeling and Design Automation of Inorganic Printed Electronics.

Farhan Rasheed, Michael Hefenbrock, Rajendra Bishnoi, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

Vibration Personalization with Evolutionary Algorithms.

Erik Pescara, Michael Hefenbrock, Thomas Rzepka, Michael Beigl

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018