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2020 – today
- 2023
[c9]Florian Neugebauer, Vivek Vekariya, Ilia Polian, John P. Hayes:
Stochastic Computing as a Defence Against Adversarial Attacks. DSN-W 2023: 191-194- 2022
- [c8]Florian Neugebauer, Stefan Holst, Ilia Polian:
On the Impact of Hardware Timing Errors on Stochastic Computing based Neural Networks. ETS 2022: 1-6 - 2021
- [c7]Christian Feichtinger, Elias Duda, Florian Buger, Jakob Johann Franz Indra, Anna Maschek, Florian Neugebauer:
Menti's Journey. CHI PLAY 2021: 368-370 - 2020
- [c6]Ponnanna Kelettira Muthappa, Florian Neugebauer, Ilia Polian, John P. Hayes:
Hardware-based Fast Real-time Image Classification with Stochastic Computing. ICCD 2020: 340-347 - [c5]Junseok Oh, Florian Neugebauer, Ilia Polian, John P. Hayes:
Retraining and Regularization to Optimize Neural Networks for Stochastic Computing. ISVLSI 2020: 246-251
2010 – 2019
- 2019
- [c4]Florian Neugebauer, Ilia Polian, John P. Hayes:
On the maximum function in stochastic computing. CF 2019: 59-66 - [c3]Florian Neugebauer, Ilia Polian, John P. Hayes:
On the Limits of Stochastic Computing. ICRC 2019: 98-105 - 2018
- [j2]Florian Neugebauer, Ilia Polian, John P. Hayes:
Framework for Quantifying and Managing Accuracy in Stochastic Circuit Design. ACM J. Emerg. Technol. Comput. Syst. 14(2): 31:1-31:21 (2018) - [j1]Florian Neugebauer, Ilia Polian, John P. Hayes
:
S-box-based random number generation for stochastic computing. Microprocess. Microsystems 61: 316-326 (2018) - 2017
- [c2]Florian Neugebauer, Ilia Polian, John P. Hayes:
Framework for quantifying and managing accuracy in stochastic circuit design. DATE 2017: 1-6 - [c1]Florian Neugebauer, Ilia Polian, John P. Hayes:
Building a Better Random Number Generator for Stochastic Computing. DSD 2017: 1-8
Coauthor Index
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