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Christopher Kymn
Christopher Kymn
Helen Wills Neuroscience Institute, UC Berkeley
Verified email at berkeley.edu
Title
Cited by
Cited by
Year
Computing on functions using randomized vector representations (in brief)
EP Frady, D Kleyko, CJ Kymn, BA Olshausen, FT Sommer
Proceedings of the 2022 Annual Neuro-Inspired Computational Elements …, 2022
492022
Computing on Functions Using Randomized Vector Representations
EP Frady, D Kleyko, CJ Kymn, BA Olshausen, FT Sommer
arXiv preprint arXiv:2109.03429, 2021
49*2021
Integer factorization with compositional distributed representations
D Kleyko, C Bybee, CJ Kymn, BA Olshausen, A Khosrowshahi, ...
Proceedings of the 2022 Annual Neuro-Inspired Computational Elements …, 2022
82022
Efficient decoding of compositional structure in holistic representations
D Kleyko, C Bybee, PC Huang, CJ Kymn, BA Olshausen, EP Frady, ...
Neural Computation 35 (7), 1159-1186, 2023
72023
Computing with Residue Numbers in High-Dimensional Representation
CJ Kymn, D Kleyko, EP Frady, C Bybee, P Kanerva, FT Sommer, ...
arXiv preprint arXiv:2311.04872, 2023
12023
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks
CJ Kymn, S Mazelet, A Ng, D Kleyko, BA Olshausen
arXiv preprint arXiv:2404.19126, 2024
2024
A residue-number attractor neural network model of error-correcting updates among grid cell modules
CJ Kymn, S Mazelet, D Kleyko, BA Olshausen
Cosyne abstracts, 2024
2024
Computing on Functions Using Randomized Vector Representations
E Paxon Frady, D Kleyko, CJ Kymn, BA Olshausen, FT Sommer
arXiv e-prints, arXiv: 2109.03429, 2021
2021
Elemental Cognitive Acts, and Their Architecture
R Granger, E Bowen, A Rodriguez, L Ray, C Kymn, K Jarrett
2017 AAAI Fall Symposium Series, 2017
2017
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Articles 1–9