Dear all,
Welcome to the next talk of Season 11 on VSAONLINE. Mohammad Mahmudul Alam from UMBC, USA will deliver a talk
”A Walsh Hadamard Derived Linear Vector Symbolic Architecture”
Date: September 22, 2025
Time: 20:00 GMT
Zoom: https://ltu-se.zoom.us/j/65564790287
Title: A Walsh Hadamard Derived Linear Vector Symbolic Architecture.
Abstract: Vector Symbolic Architectures (VSAs) are one approach to developing Neuro-symbolic AI, where two vectors in $\mathbb{R}^d$ are `bound' together to produce a new vector in the same space. VSAs support the commutativity and associativity of this binding operation, along with an inverse operation, allowing one to construct symbolic-style manipulations over real-valued vectors. Most VSAs were developed before deep learning and automatic differentiation became popular, and instead focused on efficacy in hand-designed systems. In this work, we introduce the Hadamard-derived linear Binding (HLB), which is designed to have favorable computational efficiency, efficacy in classic VSA tasks, and perform well in differentiable systems. Code is available at: https://github.com/FutureComputing4AI/Hadamard-derived-Linear-Binding
A gentle reminder about the upcoming VSAONLINE webinar!
See you in less than two hours!
Evgeny