| 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 | 17 | 2022 |
| 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 | 12 | 2020 |
| Bayesian accuracy analysis of stochastic circuits TJ Baker, JP Hayes Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020 | 11 | 2020 |
| 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 |
| 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 | 6 | 2021 |
| 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 |
| Diffraction from static potential in QED A Daniels, J Kupec, T Baker, EV Flores arXiv preprint arXiv:1612.00441, 2016 | 1 | 2016 |
| Fully automated pipeline for measurement of the thoracic aorta using joint segmentation and localization neural network S Katakol, TJ Baker, Z Bian, Y Lu, G Spahlinger, CR Hatt, NS Burris Journal of Medical Imaging 10 (5), 051810-051810, 2023 | | 2023 |
| A Statistical Approach to Stochastic Computing Design and Analysis T Baker | | 2023 |
John P HayesProfessor of EECS, University of MichiganVerified email at umich.edu
