This page collects numerous recordings of webinars on various VSAs topics.
Please also check the page with the videos.
Please let us know if some webinars are currently missing and should be added to this page. We will take care of updating the page.
Large-scale Systems Optimization: From Oscillatory Physics to High-dimensional Vector Memories
Speaker: Cristian Axenie
Date: February 14, 2022
Ontology as Manifold: Towards Symbolic and Numerical Artificial Embedding
Speaker: Chloe Mercier & Thierry Vieville
Date: January 31, 2022
Paper: Ontology as Neuronal-space Manifold: Towards Symbolic and Numerical Artificial Embedding
Using VSA/HDC for Designing Image Descriptors
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
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
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