| Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware D Kleyko, M Davies, EP Frady, P Kanerva, SJ Kent, BA Olshausen, ... arXiv preprint arXiv:2106.05268, 2021 | 46 | 2021 |
| Resonator networks, 1: an efficient solution for factoring high-dimensional, distributed representations of data structures EP Frady, SJ Kent, BA Olshausen, FT Sommer Neural Computation 32 (12), 2311-2331, 2020 | 45* | 2020 |
| Vector symbolic architectures as a computing framework for emerging hardware D Kleyko, M Davies, EP Frady, P Kanerva, SJ Kent, BA Olshausen, ... Proceedings of the IEEE 110 (10), 1538-1571, 2022 | 38 | 2022 |
| Resonator networks, 2: factorization performance and capacity compared to optimization-based methods SJ Kent, EP Frady, FT Sommer, BA Olshausen Neural Computation 32 (12), 2332-2388, 2020 | 33* | 2020 |
| A vector symbolic approach to scene transformation SJ Kent, BA Olshausen Cognitive computational neuroscience (ccn’17)(extended abstract)[link], 2017 | 4 | 2017 |
| Vector symbolic visual analogies N Maudgalya, B Olshausen, S Kent AAAI Symposium on Conceptual Abstraction and Analogy in Natural and …, 2020 | 3 | 2020 |
| Multiplicative coding and factorization in vector symbolic models of cognition S Kent University of California, Berkeley, 2020 | 2 | 2020 |
| Input-Convex Neural Networks and Posynomial Optimization S Kent, E Mazumdar, A Nagabandi, K Rakelly | | 2016 |
