Michael Hefenbrock

68 papers A* 2A 18B 9Misc 2Journal 25Unranked 11
YearRankTypeTitle / Venue / Authors
2025 A conf
ADAPT-pNC: Mitigating Device Variability and Sensor Noise in Printed Neuromorphic Circuits with SO Adaptive Learnable Filters.
DATE
Tara Gheshlaghi, Priyanjana Pal, Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
2025 B conf
Automatic Test Pattern Generation for Printed Neuromorphic Circuits.
ETS
Tara Gheshlaghi, Priyanjana Pal, Alexander Studt, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
2025 J jnl
Compressed Test Pattern Generation for Deep Neural Networks.
IEEE Trans. Computers
Dina A. Moussa, Michael Hefenbrock, Mehdi B. Tahoori
2025 J jnl
Detecting Nonequivalence in Neural Networks Through In-Distribution Counterexample Generation.
IEEE Embed. Syst. Lett.
Dina A. Moussa, Michael Hefenbrock, Mehdi B. Tahoori
2025 A conf
Functional Test Generation for In-Field Testing of Deep Learning Models with Test Storage Constraints.
ITC
Dina A. Moussa, Michael Hefenbrock, Mehdi B. Tahoori
2025 J jnl
Learning in Compact Spaces with Approximately Normalized Transformers.
CoRR
Jörg K. H. Franke, Urs Spiegelhalter, Marianna Nezhurina, Jenia Jitsev, Frank Hutter, Michael Hefenbrock
2025 J jnl
Leveraging Neural Trojan Side-Channels for Output Exfiltration.
Cryptogr.
Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi B. Tahoori
2025 J jnl
Neural Evolutionary Architecture Search for Compact Printed Analog Neuromorphic Circuits.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Yuhong Wang, Michael Beigl, Mehdi B. Tahoori
2025 J jnl
PRINT-SAFE: Printed Ultra-Low-Cost Electronic X-Design with Scalable Adaptive Fault Endurance.
ACM Trans. Embed. Comput. Syst.
Priyanjana Pal, Tara Gheshlaghi, Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
2025 A* conf
Power-Constrained Printed Neuromorphic Hardware Training.
DAC
Tara Gheshlaghi, Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
2025 A conf
SpikeSynth: Energy-Efficient Adaptive Analog Printed Spiking Neural Networks.
ICCAD
Priyanjana Pal, Alexander Studt, Tara Gheshlaghi, Michael Hefenbrock, Michael Beigl, Mehdi Baradaran Tahoori
2025 — conf
Towards Functional Safety of Neural Network Hardware Accelerators: Concurrent Out-of-Distribution Detection in Hardware Using Power Side-Channel Analysis.
ASP-DAC
Vincent Meyers, Michael Hefenbrock, Mahboobe Sadeghipourrudsari, Dennis Gnad, Mehdi B. Tahoori
2024 A conf
Analog Printed Spiking Neuromorphic Circuit.
DATE
Priyanjana Pal, Haibin Zhao, Maha Shatta, Michael Hefenbrock, Sina Bakhtavari Mamaghani, Sani R. Nassif, Michael Beigl, Mehdi B. Tahoori
2024 B conf
Deep Neural Network Pruning with Progressive Regularizer.
IJCNN
Yexu Zhou, Haibin Zhao, Michael Hefenbrock, Siyan Li, Yiran Huang, Michael Beigl
2024 J jnl
Design-time Reference Current Generation for Robust Spintronic-based Neuromorphic Architecture.
ACM J. Emerg. Technol. Comput. Syst.
Soyed Tuhin Ahmed, Mahta Mayahinia, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori
2024 A conf
Embedding Hardware Approximations in Discrete Genetic-Based Training for Printed MLPs.
DATE
Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis, Mehdi B. Tahoori
2024 J jnl
Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs.
CoRR
Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis, Mehdi B. Tahoori
2024 B conf
Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers.
ETS
Priyanjana Pal, Florentia Afentaki, Haibin Zhao, Gurol Saglam, Michael Hefenbrock, Georgios Zervakis, Michael Beigl, Mehdi B. Tahoori
2024 A* conf
Improving Deep Learning Optimization through Constrained Parameter Regularization.
NeurIPS
Jörg K. H. Franke, Michael Hefenbrock, Gregor Köhler, Frank Hutter
2024 A conf
Neural Architecture Search for Highly Bespoke Robust Printed Neuromorphic Circuits.
ICCAD
Priyanjana Pal, Haibin Zhao, Tara Gheshlaghi, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
2024 B conf
Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks.
ETS
Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori
2024 J jnl
Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks.
CoRR
Soyed Tuhin Ahmed, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori
2024 J jnl
Testing for Multiple Faults in Deep Neural Networks.
IEEE Des. Test
Dina A. Moussa, Michael Hefenbrock, Mehdi B. Tahoori
2024 A conf
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights.
ICCAD
Soyed Tuhin Ahmed, Michael Hefenbrock, Mehdi B. Tahoori
2024 J jnl
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights.
CoRR
Soyed Tuhin Ahmed, Michael Hefenbrock, Mehdi B. Tahoori
2024 — conf
Trained to Leak: Hiding Trojan Side-Channels in Neural Network Weights.
HOST
Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi B. Tahoori
2023 — conf
Automatic Test Pattern Generation and Compaction for Deep Neural Networks.
ASP-DAC
Dina A. Moussa, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori
2023 A conf
Compact Test Pattern Generation For Multiple Faults In Deep Neural Networks.
DATE
Dina A. Moussa, Michael Hefenbrock, Mehdi B. Tahoori
2023 A conf
Highly-Bespoke Robust Printed Neuromorphic Circuits.
DATE
Haibin Zhao, Brojogopal Sapui, Michael Hefenbrock, Zhidong Yang, Michael Beigl, Mehdi B. Tahoori
2023 B conf
McXai: Local Model-Agnostic Explanation As Two Games.
IJCNN
Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Michael Beigl
2023 J jnl
NeuroScrub+: Mitigating Retention Faults Using Flexible Approximate Scrubbing in Neuromorphic Fabric Based on Resistive Memories.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Soyed Tuhin Ahmed, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori
2023 J jnl
New Horizons in Parameter Regularization: A Constraint Approach.
CoRR
Jörg K. H. Franke, Michael Hefenbrock, Gregor Köhler, Frank Hutter
2023 A conf
Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits.
ICCAD
Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
2023 B conf
Remote Identification of Neural Network FPGA Accelerators by Power Fingerprints.
FPL
Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi Baradaran Tahoori
2023 A conf
Scalable Spintronics-based Bayesian Neural Network for Uncertainty Estimation.
DATE
Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori
2023 J jnl
Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale.
CoRR
Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori
2023 J jnl
Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics Implementation.
CoRR
Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori
2023 J jnl
SpinBayes: Algorithm-Hardware Co-Design for Uncertainty Estimation Using Bayesian In-Memory Approximation on Spintronic-Based Architectures.
ACM Trans. Embed. Comput. Syst.
Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori
2023 A conf
Split Additive Manufacturing for Printed Neuromorphic Circuits.
DATE
Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
2023 — conf
Towards Temporal Information Processing - Printed Neuromorphic Circuits with Learnable Filters.
NANOARCH
Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi Baradaran Tahoori
2022 A conf
Aging-Aware Training for Printed Neuromorphic Circuits.
ICCAD
Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
2022 — conf
Automatic Feature Engineering Through Monte Carlo Tree Search.
ECML/PKDD (3)
Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl
2022 J jnl
Counterfeit Detection and Prevention in Additive Manufacturing Based on Unique Identification of Optical Fingerprints of Printed Structures.
IEEE Access
Ahmet Turan Erozan, Michael Hefenbrock, Dennis R. E. Gnad, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi B. Tahoori
2022 J jnl
Fast and Efficient High-Sigma Yield Analysis and Optimization Using Kernel Density Estimation on a Bayesian Optimized Failure Rate Model.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Dennis D. Weller, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
2022 Misc conf
Improving Human Activity Recognition Models by Learnable Sparse Wavelet Layer.
ISWC
Haibin Zhao, Yexu Zhou, Till Riedel, Michael Hefenbrock, Michael Beigl
2022 A conf
In-situ Tuning of Printed Neural Networks for Variation Tolerance.
DATE
Michael Hefenbrock, Dennis D. Weller, Jasmin Aghassi-Hagmann, Michael Beigl, Mehdi B. Tahoori
2022 J jnl
McXai: Local model-agnostic explanation as two games.
CoRR
Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Likun Fang, Michael Beigl
2022 — —
Modelling and Training Printed Neuromorphic Circuits
Michael Hefenbrock
2022 B conf
Process and Runtime Variation Robustness for Spintronic-Based Neuromorphic Fabric.
ETS
Soyed Tuhin Ahmed, Mahta Mayahinia, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori
2022 Misc conf
TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition.
ISWC
Yexu Zhou, Haibin Zhao, Yiran Huang, Till Riedel, Michael Hefenbrock, Michael Beigl
2022 — conf
Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning.
ICONIP (3)
Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl
2022 J jnl
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning.
CoRR
Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl
2021 — conf
Detecting Episodes of Increased Cough Using Kinetic Earables.
AHs
Tobias Röddiger, Michael Beigl, Michael Hefenbrock, Daniel Wolffram, Erik Pescara
2021 B conf
NeuroScrub: Mitigating Retention Failures Using Approximate Scrubbing in Neuromorphic Fabric Based on Resistive Memories.
ETS
Soyed Tuhin Ahmed, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori
2021 A conf
Printed Stochastic Computing Neural Networks.
DATE
Dennis D. Weller, Nathaniel Bleier, Michael Hefenbrock, Jasmin Aghassi-Hagmann, Michael Beigl, Rakesh Kumar, Mehdi B. Tahoori
2020 — conf
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone.
ECML/PKDD (4)
Yexu Zhou, Michael Hefenbrock, Yiran Huang, Till Riedel, Michael Beigl
2020 J jnl
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone.
CoRR
Yexu Zhou, Yuting Gao, Yiran Huang, Michael Hefenbrock, Till Riedel, Michael Beigl
2020 J jnl
Bayesian Optimized Mixture Importance Sampling for High-Sigma Failure Rate Estimation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Dennis D. Weller, Michael Hefenbrock, Mohammad Saber Golanbari, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi B. Tahoori
2020 J jnl
Crossover-aware Placement and Routing for Inkjet Printed Circuits.
ACM J. Emerg. Technol. Comput. Syst.
Farhan Rasheed, Michael Hefenbrock, Rajendra Bishnoi, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori
2020 A conf
Fast and Accurate High-Sigma Failure Rate Estimation through Extended Bayesian Optimized Importance Sampling.
DATE
Michael Hefenbrock, Dennis D. Weller, Michael Beigl, Mehdi Baradaran Tahoori
2020 — conf
Programmable Neuromorphic Circuit based on Printed Electrolyte-Gated Transistors.
ASP-DAC
Dennis D. Weller, Michael Hefenbrock, Mehdi Baradaran Tahoori, Jasmin Aghassi-Hagmann, Michael Beigl
2020 J jnl
Reverse Engineering of Printed Electronics Circuits: From Imaging to Netlist Extraction.
IEEE Trans. Inf. Forensics Secur.
Ahmet Turan Erozan, Michael Hefenbrock, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori
2020 — conf
Scalable selection of EEG features for compression.
UbiComp/ISWC Adjunct
Yuma Tsurugasaki, Koichi Shimoda, Michael Hefenbrock, Akihito Taya, Sejun Song, Yoshito Tobe
2019 A conf
Bayesian Optimized Importance Sampling for High Sigma Failure Rate Estimation.
DATE
Dennis D. Weller, Michael Hefenbrock, Mohammad Saber Golanbari, Michael Beigl, Mehdi Baradaran Tahoori
2019 B conf
Identification of Effective EEG Electrodes for Depression Sensing.
Intelligent Environments (Workshops)
Yuma Tsurugasaki, Katsuhiro Mori, Michael Hefenbrock, Yoshito Tobe
2019 J jnl
Image PUF: A Physical Unclonable Function for Printed Electronics based on Optical Variation of Printed Inks.
IACR Cryptol. ePrint Arch.
Ahmet Turan Erozan, Michael Hefenbrock, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori
2019 A conf
Predictive Modeling and Design Automation of Inorganic Printed Electronics.
DATE
Farhan Rasheed, Michael Hefenbrock, Rajendra Bishnoi, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori
2018 — conf
Vibration Personalization with Evolutionary Algorithms.
UbiComp/ISWC Adjunct
Erik Pescara, Michael Hefenbrock, Thomas Rzepka, Michael Beigl