147 citations · 702 across the 33 of their papers we have counts for
37 papers
Derandomizing Dense Binary Hypervector Codebooks for Quantized Scalars
Dmitri Rachkovskij, Evgeny Osipov, Olexander Volkov +2
Hyperdimensional computing and vector symbolic architectures often represent quantized scalar levels by dense binary codebooks whose level-to-level similarity is intended to follow…
Multiclass Linear Perceptrons with Multiplicative Margins
Dmitri Rachkovskij, Evgeny Osipov, Olexander Volkov +2
This paper introduces a family of multiclass linear Perceptron classifiers with a multiplicative margin mechanism (MMPerc), as an alternative to standard margin-free and additive m…
Real-Valued Hyperdimensional Sequence Representations with Hadamard Product Binding and Shift Equivariance
Kenny Schlegel, Dmitri A. Rachkovskij, Denis Kleyko +3
Encoding temporal order is a fundamental requirement for sequence representations in Hyperdimensional Computing. Fractional Power Encoding provides similarity-preserving position v…
A Programmer's Guide to Cascaded Adaptive Combiners: Online Learning by Biologically Accurate Models of Multilayer Neuron Networks
Martin Nilsson, Denis Kleyko
Learning in biological multilayer neuronal networks offers insights that extend beyond the classical weighted-sum neuron model commonly used in artificial neural networks. This art…
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps
Christopher J. Kymn, Sonia Mazelet, Anthony Thomas +4
We propose a normative model for spatial representation in the hippocampal formation that combines optimality principles, such as maximizing coding range and spatial information pe…
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks
Christopher J. Kymn, Sonia Mazelet, Annabel Ng +2
We propose a system for visual scene analysis and recognition based on encoding the sparse, latent feature-representation of an image into a high-dimensional vector that is subsequ…