The building blocks of a brain-inspired computer JD Kendall, S Kumar Applied Physics Reviews 7 (1), 2020 | 180 | 2020 |
Training end-to-end analog neural networks with equilibrium propagation J Kendall, R Pantone, K Manickavasagam, Y Bengio, B Scellier arXiv preprint arXiv:2006.01981, 2020 | 81 | 2020 |
Activity-difference training of deep neural networks using memristor crossbars S Yi, JD Kendall, RS Williams, S Kumar Nature Electronics 6 (1), 45-51, 2023 | 48 | 2023 |
Memristive nanofiber neural networks JC Nino, J Kendall US Patent 10,198,691, 2019 | 31 | 2019 |
Memristive nanowires exhibit small-world connectivity RD Pantone, JD Kendall, JC Nino Neural Networks 106, 144-151, 2018 | 21 | 2018 |
Systems and methods for efficient matrix multiplication J Kendall US Patent 10,430,493, 2019 | 18 | 2019 |
Evaluation of the computational capabilities of a memristive random network (MN3) under the context of reservoir computing LE Suarez, JD Kendall, JC Nino Neural Networks 106, 223-236, 2018 | 16 | 2018 |
Energy-based learning algorithms for analog computing: a comparative study B Scellier, M Ernoult, J Kendall, S Kumar Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
Deep learning in bipartite memristive networks JD Kendall, JC Nino, LE Suarez US Patent App. 18/138,984, 2023 | 5 | 2023 |
Simplified sol-gel processing method for amorphous TiOx Memristors E Nassar Moreira, J Kendall, H Maruyama, JC Nino Journal of Electroceramics 44 (1), 52-58, 2020 | 5 | 2020 |
A gradient estimator for time-varying electrical networks with non-linear dissipation J Kendall arXiv preprint arXiv:2103.05636, 2021 | 4 | 2021 |
Deep learning in memristive nanowire networks JD Kendall, RD Pantone, JC Nino arXiv preprint arXiv:2003.02642, 2020 | 4 | 2020 |
Energy-based learning algorithms: A comparative study B Scellier, M Ernoult, J Kendall, S Kumar ICML Workshop on Localized Learning (LLW), 2023 | 3 | 2023 |
Memristive nanofiber neural networks JC Nino, J Kendall US Patent 11,055,614, 2021 | 2 | 2021 |
Memristive nanofiber neural networks JC Nino, J Kendall US Patent 10,614,358, 2020 | 2 | 2020 |
Learning algorithms for oscillatory memristive neuromorphic circuits JD Kendall, JC Nino US Patent App. 16/345,551, 2019 | 2 | 2019 |
Memristive nanofiber neural networks JC Nino, J Kendall US Patent 11,941,515, 2024 | 1 | 2024 |
Publisher's Note:“The building blocks of a brain-inspired computer”[Appl. Phys. Rev. 7, 011305 (2020)] JD Kendall, S Kumar Applied Physics Reviews 7 (2), 2020 | 1 | 2020 |
Machine learning using gradient estimate determined using improved perturbations JD Kendall US Patent App. 18/111,420, 2024 | | 2024 |
Electrical networks using analytic loss gradients for design, analysis and machine learning JD Kendall US Patent 11,922,296, 2024 | | 2024 |