![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Michael Hefenbrock
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j9]Dina A. Moussa
, Michael Hefenbrock
, Mehdi B. Tahoori
:
Testing for Multiple Faults in Deep Neural Networks. IEEE Des. Test 41(3): 47-53 (2024) - [j8]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): 2:1-2:20 (2024) - [c32]Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis, Mehdi B. Tahoori:
Embedding Hardware Approximations in Discrete Genetic-Based Training for Printed MLPs. DATE 2024: 1-6 - [c31]Priyanjana Pal, Haibin Zhao, Maha Shatta, Michael Hefenbrock, Sina Bakhtavari Mamaghani, Sani R. Nassif, Michael Beigl, Mehdi B. Tahoori:
Analog Printed Spiking Neuromorphic Circuit. DATE 2024: 1-6 - [c30]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: 1-6 - [c29]Priyanjana Pal, Florentia Afentaki, Haibin Zhao
, Gurol Saglam, Michael Hefenbrock, Georgios Zervakis, Michael Beigl, Mehdi B. Tahoori:
Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers. ETS 2024: 1-6 - [c28]Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi B. Tahoori:
Trained to Leak: Hiding Trojan Side-Channels in Neural Network Weights. HOST 2024: 122-127 - [i10]Soyed Tuhin Ahmed, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori:
Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks. CoRR abs/2401.04744 (2024) - [i9]Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis, Mehdi B. Tahoori:
Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs. CoRR abs/2402.02930 (2024) - [i8]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 abs/2405.05286 (2024) - 2023
- [j7]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): 1490-1503 (2023) - [j6]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): 131:1-131:25 (2023) - [c27]Dina A. Moussa, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori:
Automatic Test Pattern Generation and Compaction for Deep Neural Networks. ASP-DAC 2023: 436-441 - [c26]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: 1-6 - [c25]Dina A. Moussa, Michael Hefenbrock, Mehdi B. Tahoori:
Compact Test Pattern Generation For Multiple Faults In Deep Neural Networks. DATE 2023: 1-2 - [c24]Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori:
Split Additive Manufacturing for Printed Neuromorphic Circuits. DATE 2023: 1-6 - [c23]Haibin Zhao, Brojogopal Sapui, Michael Hefenbrock, Zhidong Yang, Michael Beigl, Mehdi B. Tahoori:
Highly-Bespoke Robust Printed Neuromorphic Circuits. DATE 2023: 1-6 - [c22]Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi Baradaran Tahoori:
Remote Identification of Neural Network FPGA Accelerators by Power Fingerprints. FPL 2023: 259-264 - [c21]Haibin Zhao
, Priyanjana Pal
, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori:
Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits. ICCAD 2023: 1-9 - [c20]Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel
, Michael Beigl:
McXai: Local Model-Agnostic Explanation As Two Games. IJCNN 2023: 1-8 - [c19]Haibin Zhao
, Priyanjana Pal
, Michael Hefenbrock
, Michael Beigl
, Mehdi Baradaran Tahoori
:
Towards Temporal Information Processing - Printed Neuromorphic Circuits with Learnable Filters. NANOARCH 2023: 12:1-12:6 - [i7]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 abs/2306.10185 (2023) - [i6]Jörg K. H. Franke, Michael Hefenbrock, Gregor Köhler, Frank Hutter:
New Horizons in Parameter Regularization: A Constraint Approach. CoRR abs/2311.09058 (2023) - [i5]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 abs/2311.15816 (2023) - 2022
- [b1]Michael Hefenbrock:
Modelling and Training Printed Neuromorphic Circuits. Karlsruhe University, Germany, 2022 - [j5]Ahmet Turan Erozan, Michael Hefenbrock, Dennis R. E. Gnad
, Michael Beigl
, Jasmin Aghassi-Hagmann
, Mehdi B. Tahoori
:
Counterfeit Detection and Prevention in Additive Manufacturing Based on Unique Identification of Optical Fingerprints of Printed Structures. IEEE Access 10: 105910-105919 (2022) - [j4]Dennis D. Weller
, Michael Hefenbrock
, Michael Beigl, Mehdi B. Tahoori
:
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. 41(3): 695-708 (2022) - [c18]Michael Hefenbrock, Dennis D. Weller, Jasmin Aghassi-Hagmann
, Michael Beigl, Mehdi B. Tahoori:
In-situ Tuning of Printed Neural Networks for Variation Tolerance. DATE 2022: 72-75 - [c17]Soyed Tuhin Ahmed
, Mahta Mayahinia, Michael Hefenbrock, Christopher Münch, Mehdi B. Tahoori:
Process and Runtime Variation Robustness for Spintronic-Based Neuromorphic Fabric. ETS 2022: 1-2 - [c16]Haibin Zhao
, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori:
Aging-Aware Training for Printed Neuromorphic Circuits. ICCAD 2022: 38:1-38:9 - [c15]Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel
, Likun Fang
, Michael Beigl:
Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning. ICONIP (3) 2022: 206-215 - [c14]Haibin Zhao
, Yexu Zhou, Till Riedel
, Michael Hefenbrock
, Michael Beigl
:
Improving Human Activity Recognition Models by Learnable Sparse Wavelet Layer. ISWC 2022: 84-88 - [c13]Yexu Zhou
, Haibin Zhao
, Yiran Huang
, Till Riedel
, Michael Hefenbrock
, Michael Beigl
:
TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition. ISWC 2022: 89-93 - [c12]Yiran Huang
, Yexu Zhou
, Michael Hefenbrock
, Till Riedel
, Likun Fang
, Michael Beigl
:
Automatic Feature Engineering Through Monte Carlo Tree Search. ECML/PKDD (3) 2022: 581-598 - [i4]Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel
, Likun Fang
, Michael Beigl:
McXai: Local model-agnostic explanation as two games. CoRR abs/2201.01044 (2022) - [i3]Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel
, Likun Fang, Michael Beigl:
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning. CoRR abs/2211.08384 (2022) - 2021
- [c11]Tobias Röddiger, Michael Beigl, Michael Hefenbrock, Daniel Wolffram, Erik Pescara:
Detecting Episodes of Increased Cough Using Kinetic Earables. AHs 2021: 111-115 - [c10]Dennis D. Weller, Nathaniel Bleier
, Michael Hefenbrock, Jasmin Aghassi-Hagmann
, Michael Beigl, Rakesh Kumar, Mehdi B. Tahoori:
Printed Stochastic Computing Neural Networks. DATE 2021: 914-919 - [c9]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: 1-6 - 2020
- [j3]Farhan Rasheed, Michael Hefenbrock, Rajendra Bishnoi, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori:
Crossover-aware Placement and Routing for Inkjet Printed Circuits. ACM J. Emerg. Technol. Comput. Syst. 16(2): 19:1-19:22 (2020) - [j2]Dennis D. Weller
, Michael Hefenbrock
, Mohammad Saber Golanbari, Michael Beigl, Jasmin Aghassi-Hagmann
, Mehdi B. Tahoori:
Bayesian Optimized Mixture Importance Sampling for High-Sigma Failure Rate Estimation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2772-2783 (2020) - [j1]Ahmet Turan Erozan
, Michael Hefenbrock
, Michael Beigl, Jasmin Aghassi-Hagmann
, Mehdi Baradaran Tahoori:
Reverse Engineering of Printed Electronics Circuits: From Imaging to Netlist Extraction. IEEE Trans. Inf. Forensics Secur. 15: 475-486 (2020) - [c8]Dennis D. Weller, Michael Hefenbrock, Mehdi Baradaran Tahoori, Jasmin Aghassi-Hagmann, Michael Beigl:
Programmable Neuromorphic Circuit based on Printed Electrolyte-Gated Transistors. ASP-DAC 2020: 446-451 - [c7]Michael Hefenbrock, Dennis D. Weller, Michael Beigl, Mehdi Baradaran Tahoori:
Fast and Accurate High-Sigma Failure Rate Estimation through Extended Bayesian Optimized Importance Sampling. DATE 2020: 103-108 - [c6]Yuma Tsurugasaki, Koichi Shimoda, Michael Hefenbrock, Akihito Taya
, Sejun Song, Yoshito Tobe:
Scalable selection of EEG features for compression. UbiComp/ISWC Adjunct 2020: 712-715 - [c5]Yexu Zhou, Michael Hefenbrock, Yiran Huang
, Till Riedel
, Michael Beigl:
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone. ECML/PKDD (4) 2020: 461-477 - [i2]Yexu Zhou, Yuting Gao, Yiran Huang, Michael Hefenbrock, Till Riedel
, Michael Beigl:
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone. CoRR abs/2008.03961 (2020)
2010 – 2019
- 2019
- [c4]Farhan Rasheed, Michael Hefenbrock, Rajendra Bishnoi, Michael Beigl, Jasmin Aghassi-Hagmann
, Mehdi Baradaran Tahoori:
Predictive Modeling and Design Automation of Inorganic Printed Electronics. DATE 2019: 30-35 - [c3]Dennis D. Weller, Michael Hefenbrock, Mohammad Saber Golanbari, Michael Beigl, Mehdi Baradaran Tahoori:
Bayesian Optimized Importance Sampling for High Sigma Failure Rate Estimation. DATE 2019: 1667-1672 - [c2]Yuma Tsurugasaki, Katsuhiro Mori, Michael Hefenbrock, Yoshito Tobe:
Identification of Effective EEG Electrodes for Depression Sensing. Intelligent Environments (Workshops) 2019: 152-161 - [i1]Ahmet Turan Erozan, Michael Hefenbrock, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori:
Image PUF: A Physical Unclonable Function for Printed Electronics based on Optical Variation of Printed Inks. IACR Cryptol. ePrint Arch. 2019: 1419 (2019) - 2018
- [c1]Erik Pescara
, Michael Hefenbrock, Thomas Rzepka, Michael Beigl:
Vibration Personalization with Evolutionary Algorithms. UbiComp/ISWC Adjunct 2018: 436-439
Coauthor Index
aka: Mehdi B. Tahoori
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 20:24 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint