286 citations · 823 across the 37 of their papers we have counts for
5 papers · 1 filter
Efficient Decoding of Compositional Structure in Holistic Representations
Denis Kleyko, Connor Bybee, Ping-Chen Huang +4
We investigate the task of retrieving information from compositional distributed representations formed by Hyperdimensional Computing/Vector Symbolic Architectures and present nove…
Learning and generalization of compositional representations of visual scenes
E. Paxon Frady, Spencer Kent, Quinn Tran +3
Complex visual scenes that are composed of multiple objects, each with attributes, such as object name, location, pose, color, etc., are challenging to describe in order to train n…
Integer Factorization with Compositional Distributed Representations
Denis Kleyko, Connor Bybee, Christopher J. Kymn +5
In this paper, we present an approach to integer factorization using distributed representations formed with Vector Symbolic Architectures. The approach formulates integer factoriz…
Resonator Networks outperform optimization methods at solving high-dimensional vector factorization
Spencer J. Kent, E. Paxon Frady, Friedrich T. Sommer +1
We develop theoretical foundations of Resonator Networks, a new type of recurrent neural network introduced in Frady et al. (2020) to solve a high-dimensional vector factorization…
Emergence of foveal image sampling from learning to attend in visual scenes
Brian Cheung, Eric Weiss, Bruno Olshausen
We describe a neural attention model with a learnable retinal sampling lattice. The model is trained on a visual search task requiring the classification of an object embedded in a…