This page collects numerous recordings of webinars on various VSAs topics.

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Computing on Functions Using Randomized Vector Representations

Near-channel Classifier: Symbiotic Communication and Classification in High-dimensional Space

Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing

Functional representations in VSA

Speaker: Peter beim Graben

Date: August 23, 2021

Paper: Inverse Problems in Dynamic Cognitive Modeling

Hybrid Neural Architecture for the Linguistic Operator in Decision Support Systems

Learning and compressing Tensor Product Representations for large-scale AI problems

Speakers: Paul Smolensky and Coleman Haley

Date: June 14, 2021

Paper: Invertible Tree Embeddings using a Cryptographic Role Embedding Scheme

Robust High-dimensional Memory-augmented Neural Networks

Boundary and Normal States of Consciousness

Speaker: Hedda R. Schmidtke

Date: March 29, 2021

Paper: Multi-modal Actuation with the Activation Bit Vector Machine

Quantum Mathematics in Artificial Intelligence

Speaker: Dominic Widdows

Date: March 15, 2021

Paper: Quantum Mathematics in Artificial Intelligence

Combining Vector Symbolic Architecture and Semiotic Approach to Solve Visual Question Answering Task

Speaker: Alexey Kovalev

Date: March 1, 2021

Sequence Structure in the Human Brain: Vector Symbolic Architectures as a Neurocomputational Lingua Franca

Compressing Many Subject-specific Brain-Computer Interface Models into One Model by Hyperdimensional Superposition

Hyperdimensional Computing for Efficient and Robust Learning

Speaker: Mohsen Imani

Date: December 14, 2020

HDM: Hyper-Dimensional Modulation for Reliable Wireless Communication

Speaker: Hun-Seok Kim

Date: November 30, 2020

Paper: HDM: Hyper-Dimensional Modulation for Robust Low-Power Communications

Vector-Symbolic Approach to In-memory Realization of Kohonen’s Self-Organizing Maps

Speaker: Evgeny Osipov

Date: November 18, 2020

Comparison of Vector Symbolic Architectures

Speaker: Kenny Schlegel

Date: November 16, 2020

Preprint: A comparison of Vector Symbolic Architectures

A Neural-Network-Like Mechanism for Learning with Hyperdimensional Vectors

Speaker: Peter Sutor

Date: November 16, 2020

Paper: Symbolic Representation and Learning With Hyperdimensional Computing

In-memory Hyperdimensional Computing

Speaker: Geethan Karunaratne

Date: July 27, 2020

Paper: In-memory hyperdimensional computing

Word Similarity Estimation with Vector Symbolic Architectures

Speaker: Job Quiroz

Date: July 27, 2020

Paper: Semantic Similarity Estimation Using Vector Symbolic Architectures

Vector Representations + Addition + Multiplication = Conceptual Reasoning

Speaker: Tony Plate

Date: July 13, 2020

Indirect Associations in Learning Semantic and Syntactic Lexical Relationships

Dynamic Distributed Orchestration of Node-RED IoT Workflows Using a Vector Symbolic Architecture

Speaker: Graham Bent

Date: June 29, 2020

Hyperdimensional Computing in Robotics and Comparison of VSAs

Speaker: Peer Neubert

Date: June 15, 2020

Paper: An Introduction to Hyperdimensional Computing for Robotics

Towards a Holographic Model of Working Memory

Speaker: Stefan Reimann

Date: June 1, 2020

Vector Symbolic Architectures and Density Encoding as Enablers for Resource-Efficient Randomly Connected Neural Networks

Logic and Images with a VSA

Speaker: Hedda R. Schmidtke

Date: May 18, 2020

VSA, Analogy, and Dynamic Similarity

Speaker: Ross W. Gayler

Date: May 18, 2020

The Squinting Linguist Meets Hyperdimensional Computing

Speaker: Jussi Karlgren

Date: July 13, 2018

Paper: High-Dimensional Distributed Semantic Spaces for Utterances