This page collects numerous recordings of webinars on various HD/VSA 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.
Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries
Speaker: Mike Heddes
Date: December 16, 2024
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations
Speaker: Paul Soulos
Date: December 2, 2024
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines
Speaker: Ole-Christoffer Granmo
Date: November 18, 2024
Towards Learning Abductive Reasoning using VSA Distributed Representations
Speaker: Giacomo Camposampiero
Note: the presentation begins at approx. 37.00 min of the recording
Date: November 4, 2024
Factorizers for Distributed Sparse Block Codes
Speaker: Michael Hersche
Date: November 4, 2024
Efficient and Robust Point Cloud Embedding through Vector Symbolic Architecture
Speaker: Dehao Yuan
Date: October 21, 2024
Clustering the Sketch: Dynamic Compression for Embedding Tables
Speaker: Thomas D. Ahle
Date: October 7, 2024
Vector-Symbolic Architecture for Event-Based Optical Flow
Speaker: Hongzhi You
Date: September 23, 2024
Brain-Inspired Computing: Towards Neurobiologically-Grounded Credit Assignment and Biomimetic Intelligence
Speaker: Alexander G. Ororbia II
Date: September 9, 2024
Memory from Almost Nothing
Speaker: Stefan Reimann
Note: the presentation begins at approx. 31.30 min of the recording
Date: June 3, 2024
Permutations in VSA
Speaker: Josh Cynamon
Date: June 3, 2024
Assembling Modular, Hierarchical Cognitive Map Learners with Hyperdimensional Computing
Speaker: Nathan McDonald
Date: May 20, 2024
Preprint: Assembling Modular, Hierarchical Cognitive Map Learners with Hyperdimensional Computing
Sketching of Polynomial Kernels
Generalized Holographic Reduced Representations
Speaker: Zhuowen (Kevin) Zou
Date: April 22, 2024
Symbolic Disentangled Representations for Images
Speaker: Alexandr Korchemnyi and Alexey Kovalev
Date: April 8, 2024
Computing with Residue Numbers in High-Dimensional Representation
Speaker: Chris Kymn
Date: March 25, 2024
Preprint: Computing with Residue Numbers in High-Dimensional Representation
Role of Sleep in Memory and Learning: From Biological to Artificial Systems.
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
Speaker: Nicolas Menet
Date: February 26, 2024
Paper: MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
Compositional Vector Semantics in Spiking Neural Networks
Speaker: Martha Lewis
Date: February 12, 2024
Paper: Compositional Vector Semantics in Spiking Neural Networks
Modelling Neural Probabilistic Computation Using Vector Symbolic Architectures
Speaker: Michael Furlong
Date: January 29, 2024
Article: Modelling Neural Probabilistic Computation using Vector Symbolic Architectures
Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots
Speaker: Yeseong Kim
Date: December 11, 2023
HW/SW Codesign for Brain-Inspired Hyperdimensional In-Memory Computing
Speaker: Hussam Amrouch
Date: November 27, 2023
Article: HW/SW Co-Design for Reliable TCAM- Based In-Memory Brain-Inspired Hyperdimensional Computing
Capacity Analysis of Vector Symbolic Architectures
Speaker: Kenneth L. Clarkson
Date: November 13, 2023
Preprint: Capacity Analysis of Vector Symbolic Architectures
A Tour Through Learning with High-Dimensional Representations: VSAs, Kernel Methods, and Randomized Embeddings
Speaker: Anthony Thomas
Date: October 30, 2023
SupportHDC: Hyperdimensional Computing with Scalable Hypervector Sparsity
Speaker: Ali Safa
Date: October 16, 2023
Paper: SupportHDC: Hyperdimensional Computing with Scalable Hypervector Sparsity
Hardware-Aware Static Optimization of Hyperdimensional Computations
Speaker: Pu (Luke) Yi, Sara Achour
Date: October 2, 2023
Article: Hardware-Aware Static Optimization of Hyperdimensional Computations
Local Prediction-learning in High-dimensional Spaces Enables Neural Networks to Plan
Speaker: Christoph Stoeckl
Date: September 18, 2023
Preprint: Local Prediction-learning in High-dimensional Spaces Enables Neural Networks to Plan
Mappings Between Lower Dimensional and Hyperdimensional Embedding Spaces
Speaker: Tony Plate
Date: September 11, 2023
Panel: HD/VSA as a Scientific & Engineering Discipline
Date: June 15, 2023
Efficient Decoding of Compositional Structure in Holistic Representations
Speaker: Denis Kleyko
Date: May 29, 2023
Article: Efficient Decoding of Compositional Structure in Holistic Representations
Hyper-Dimensional Function Encoding: Enable Neural Network to Process Continuous Objects
Speaker: Dehao Yuan
Date: May 15, 2023
Preprint: Decodable and Sample Invariant Continuous Object Encoder
In-memory Factorization of Holographic Perceptual Representations
Speaker: Geethan Karunaratne
Date: May 1, 2023
Article: In-memory Factorization of Holographic Perceptual Representations
A Neuro-vector-symbolic Architecture for Solving Raven’s Progressive Matrices
Speaker: Michael Hersche
Date: April 24, 2023
Article: A Neuro-vector-symbolic Architecture for Solving Raven’s Progressive Matrices
Vector Symbolic Finite State Machines in Attractor Neural Networks
Speaker: Madison Cotteret
Date: April 3, 2023
Preprint: Vector Symbolic Finite State Machines in Attractor Neural Networks
Hyperdimensional Computing with Applications
Unpaired Image Translation via Vector Symbolic Architectures
Speaker: Justin Theiss
Date: March 13, 2023
Paper: Unpaired Image Translation via Vector Symbolic Architectures
Hyperdimensional Feature Fusion for Out-Of-Distribution Detection
Speaker: Samuel Wilson
Date: February 20, 2023
Paper: Hyperdimensional Feature Fusion for Out-Of-Distribution Detection
Vector Algebras on Loihi 2
Speaker: E. Paxon Frady
Date: February 6, 2023
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
Speaker: Mohammad Alam
Date: January 23, 2023
Paper: Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
Panel: Work-in-Progress and Future Perspective Directions in HD/VSA
Date: December 19, 2022
Hashing: A Robust and Efficient Dynamic Hash Table
Speaker: Mike Heddes
Date: December 5, 2022
Preprint: Hyperdimensional Hashing: A Robust and Efficient Dynamic Hash Table
Graph Embeddings via Tensor Products and Approximately Orthonormal Codes
Speaker: Frank Qiu
Date: November 14, 2022
Preprint: Graph Embeddings via Tensor Products and Approximately Orthonormal Codes
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing
Speaker: Kenny Schlegel
Date: November 7, 2022
Paper: HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing
Recasting Self-Attention with Holographic Reduced Representations
Speaker: Edward Raff
Date: October 24, 2022
Preprint: Recasting Self-Attention with Holographic Reduced Representations
Torchhd: An Open-Source Python Library to Support Hyperdimensional Computing Research
Speaker: Mike Heddes
Date: October 10, 2022
Preprint: Torchhd: An Open-Source Python Library to Support Hyperdimensional Computing Research
VSA-based Few-shot Continual Learning with a Demonstration on In-memory Computing Hardware
Attention Approximates Sparse Distributed Memory
Speaker: Trenton Bricken
Date: September 12, 2022
Hyperdimensional Computing using Time-to-Spike Neuromorphic Circuits
Speaker: Graham Bent
Date: August 29, 2022
Paper: Hyperdimensional Computing using Time-to-spike Neuromorphic Circuits
Bridging Neural and Symbolic Representation for Simultaneous Localization and Mapping
Speaker: Nicole Sandra-Yaffa Dumont
Date: June 20, 2022
Paper: A Model of Path Integration that Connects Neural and Symbolic Representation
Understanding Hyperdimensional Computing for Parallel Single-Pass Learning
Speaker: Tao Yu
Date: May 23, 2022
Preprint: Understanding Hyperdimensional Computing for Parallel Single-Pass Learning
Orthogonal Matrices for MBAT Vector Symbolic Architectures, and a "Soft" VSA Representation for JSON
Speaker: Stephen I. Gallant
Date: May 9, 2022
Preprint: Orthogonal Matrices for MBAT Vector Symbolic Architectures, and a "Soft" VSA Representation for JSON
Fractional Binding in Vector Symbolic Representations for Efficient Mutual Information Exploration
Speaker: Michael Furlong
Date: April 25, 2022
Paper: Fractional Binding in Vector Symbolic Representations for Efficient Mutual Information Exploration
Linguistic Semantics and Geometry
Similarity-Based Attention for Vector-Symbolic Architectures
Speaker: Wilkie Olin-Ammentorp
Date: March 14, 2022
Neuromorphic Visual-Spatial Processing with VSAs
Speaker: Alpha Renner
Date: February 28, 2022
Papers: Sparse Vector Binding on Spiking Neuromorphic Hardware Using Synaptic Delays
Neuromorphic Visual Scene Understanding with Resonator Networks
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
Brief paper: Computing on Functions Using Randomized Vector Representations (in brief)
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
Papers: Vector Semiotic Model for Visual Question Answering
Applying Vector Symbolic Architecture and Semiotic Approach to Visual Dialog
Links from VSA to Connectionism and Representation Theory
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