This page collects numerous recordings of webinars on various VSAs topics.
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An Overview of a Comprehensive Survey of Hyperdimensional Computing/Vector Symbolic Architectures
Reiterating on Main Postulates of VSA with Hyperseed: What is English of Sweden?
Speaker: Evgeny Osipov
Date: November 29, 2021
Preprint: HyperSeed: Unsupervised Learning with Vector Symbolic Architectures
Hyperdimensional Computing in Distributed Randomized Neural Networks
Computing on Functions Using Randomized Vector Representations
Speaker: Fritz Sommer
Date: November 1, 2021
Preprint: Computing on Functions Using Randomized Vector Representations
Grounding of Symbols in the Dynamic Neural Field Architectures
Speaker: Yulia Sandamirskaya
Date: October 18, 2021
A Neuromorphic Approach for Tracking Using Dynamic Neural Fields on a Programmable Vision-chip
Near-channel Classifier: Symbiotic Communication and Classification in High-dimensional Space
Speaker: Michael Hersche
Date: October 4, 2021
Paper: Near-channel Classifier: Symbiotic Communication and Classification in High-dimensional Space
Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing
Speaker: Cameron Diao
Date: September 20, 2021
Towards a Predictive Processing Implementation of the Common Model of Cognition
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
Speaker: Alexander Demidovsky
Date: June 28, 2021
Papers: Encoding and Decoding of Recursive Structures in Neural-Symbolic Systems
Designing Arithmetic Neural Primitive for Sub-symbolic Aggregation of Linguistic Assessments
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
Neural Representation of Continuous Space using Fractional Binding
Speaker: Brent J. Komer
Date: May 31, 2021
Papers: A Neural Representation of Continuous Space using Fractional Binding
Efficient Navigation using a Scalable, Biologically Inspired Spatial Representation
Robust High-dimensional Memory-augmented Neural Networks
Speaker: Geethan Karunaratne
Date: May 17, 2021
Paper: 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
Combining Vector Symbolic Architecture and Semiotic Approach to Solve Visual Question Answering Task
Speaker: Alexey Kovalev
Date: March 1, 2021
Links from VSA to Connectionism and Representation Theory
Speaker: E. Paxon Frady
Date: February 22, 2021
Papers: Variable Binding for Sparse Distributed Representations: Theory and Applications
Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods
Sequence Structure in the Human Brain: Vector Symbolic Architectures as a Neurocomputational Lingua Franca
Speaker: Ryan Calmus
Date: January 25, 2021
Vector Symbolic Architectures for Automotive Scene Representation and Downstream Applications
Compressing Many Subject-specific Brain-Computer Interface Models into One Model by Hyperdimensional Superposition
Speaker: Michael Hersche
Date: December 14, 2020
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
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
Word Similarity Estimation with Vector Symbolic Architectures
Speaker: Job Quiroz
Date: July 27, 2020
Paper: Semantic Similarity Estimation Using Vector Symbolic Architectures
Resonator Circuits: A Neural Network for Efficiently Solving Factorization Problems
Vector Representations + Addition + Multiplication = Conceptual Reasoning
Speaker: Tony Plate
Date: July 13, 2020
Indirect Associations in Learning Semantic and Syntactic Lexical Relationships
Speaker: M. Alex Kelly
Date: June 29, 2020
Paper: 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
Vector Symbolic Architectures Pipeline for Unsupervised Learning with Self-Organizing Maps
Speaker: Evgeny Osipov
Date: June 15, 2020
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
Speaker: Denis Kleyko
Date: June 1, 2020
Paper: Density Encoding Enables 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