Building a Better Random Number Generator for Stochastic Computing. - Florian Neugebauer; Ilia Polian; John P. Hayes (DSD, 2017)

Framework for Quantifying and Managing Accuracy in Stochastic Circuit Design. - Florian Neugebauer; Ilia Polian; John P. Hayes (ACM J. Emerg. Technol. Comput. Syst., 2018)

S-box-based random number generation for stochastic computing. - Florian Neugebauer; Ilia Polian; John P. Hayes (Microprocess. Microsystems, 2018)

On the maximum function in stochastic computing. - Florian Neugebauer; Ilia Polian; John P. Hayes (CF, 2019)

On the Limits of Stochastic Computing. - Florian Neugebauer; Ilia Polian; John P. Hayes (ICRC, 2019)

Hardware-based Fast Real-time Image Classification with Stochastic Computing. - Ponnanna Kelettira Muthappa; Florian Neugebauer; Ilia Polian; John P. Hayes (ICCD, 2020)

Retraining and Regularization to Optimize Neural Networks for Stochastic Computing. - Junseok Oh; Florian Neugebauer; Ilia Polian; John P. Hayes (ISVLSI, 2020)

Menti's Journey. - Christian Feichtinger; Elias Duda; Florian Buger; Jakob Johann Franz Indra; Anna Maschek; Florian Neugebauer (CHI PLAY, 2021)

On the Impact of Hardware Timing Errors on Stochastic Computing based Neural Networks. - Florian Neugebauer; Stefan Holst; Ilia Polian (ETS, 2022)

Stochastic Computing as a Defence Against Adversarial Attacks. - Florian Neugebauer; Vivek Vekariya; Ilia Polian; John P. Hayes (DSN-W, 2023)