| Performance and Error Tolerance of Stochastic Computing-Based Digital Filter Design R Sengupta, I Polian, JP Hayes 2024 27th International Symposium on Design & Diagnostics of Electronic …, 2024 | 1 | 2024 |
| Mitigating the Correlation Problem in Multi-Layer Stochastic Circuits O Hoffend, JP Hayes 2023 IEEE International Conference on Rebooting Computing (ICRC), 1-10, 2023 | | 2023 |
| Stochastic computing as a defence against adversarial attacks F Neugebauer, V Vekariya, I Polian, JP Hayes 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems …, 2023 | 2 | 2023 |
| Design of large-scale stochastic computing adders and their anomalous behavior T Baker, JP Hayes 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 3 | 2023 |
| Multiplexer-majority chains: Managing correlation and cost in stochastic number generation T Baker, O Hoffend, J Hayes Proceedings of the 17th ACM International Symposium on Nanoscale …, 2022 | 2 | 2022 |
| Wavelet Transform Assisted Neural Networks for Human Activity Recognition R Sengupta, I Polian, JP Hayes 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 1254-1258, 2022 | | 2022 |
| Stochastic computing architectures for lightweight LSTM neural networks R Sengupta, I Polian, JP Hayes 2022 25th International Symposium on Design and Diagnostics of Electronic …, 2022 | 1 | 2022 |
| Analyzing multilevel stochastic circuits using correlation matrices O Hoffend, JP Hayes 2022 25th International Symposium on Design and Diagnostics of Electronic …, 2022 | 1 | 2022 |
| CeMux: Maximizing the accuracy of stochastic mux adders and an application to filter design TJ Baker, JP Hayes ACM Transactions on Design Automation of Electronic Systems (TODAES) 27 (3 …, 2022 | 18 | 2022 |
| Guest editors’ introduction: Stochastic computing for neuromorphic applications I Polian, JP Hayes, VT Lee, W Qian IEEE Design & Test 38 (6), 5-15, 2021 | 4 | 2021 |
| Benefits of stochastic computing in hearing aid filterbank design TJ Baker, Y Sun, JP Hayes 2021 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-5, 2021 | 7 | 2021 |
| Bayesian accuracy analysis of stochastic circuits TJ Baker, JP Hayes Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020 | 13 | 2020 |
| Exploring target function approximation for stochastic circuit minimization C Wang, W Xiao, JP Hayes, W Qian Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020 | 4 | 2020 |
| Hardware-based fast real-time image classification with stochastic computing PK Muthappa, F Neugebauer, I Polian, JP Hayes 2020 IEEE 38th International Conference on Computer Design (ICCD), 340-347, 2020 | 16 | 2020 |
| Retraining and regularization to optimize neural networks for stochastic computing J Oh, F Neugebauer, I Polian, J Hayes 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 246-251, 2020 | 5 | 2020 |
| The hypergeometric distribution as a more accurate model for stochastic computing TJ Baker, JP Hayes 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 592-597, 2020 | 13 | 2020 |
| On the limits of stochastic computing F Neugebauer, I Polian, JP Hayes 2019 IEEE International Conference on Rebooting Computing (ICRC), 1-8, 2019 | 13 | 2019 |
| Exploiting randomness in stochastic computing P Ting, JP Hayes 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-6, 2019 | 9 | 2019 |
| Impact of autocorrelation on stochastic circuit accuracy T Baker, J Hayes 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 271-277, 2019 | 7 | 2019 |
| Removing constant‐induced errors in stochastic circuits P Ting, JP Hayes IET Computers & Digital Techniques 13 (3), 187-197, 2019 | 1 | 2019 |
Igor L. MarkovSynopsys在 synopsys.com 的电子邮件经过验证
