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.
Speaker: Danilo Comminiello
Date: June 9, 2025
Speaker: Madison Cotteret
Date: May 19, 2025
Speakers: Parikshit Ram and Dmitry Krotov
Date: May 5, 2025
Speaker: Sebastian Schneegans
Date: April 7, 2025
Speaker: Chatterjee Abhijit
Date: March 24, 2025
Speakers: Marco Angioli and Rocco Martino
Date: February 24, 2025
Speaker: Pu (Luke) Yi
Date: February 10, 2025
Speaker: Anthony Thomas
Date: January 27, 2025
Speaker: Mike Heddes
Date: December 16, 2024
Speaker: Paul Soulos
Date: December 2, 2024
Speaker: Ole-Christoffer Granmo
Date: November 18, 2024
Speaker: Giacomo Camposampiero
Note: the presentation begins at approx. 37.00 min of the recording
Date: November 4, 2024
Speaker: Michael Hersche
Date: November 4, 2024
Speaker: Dehao Yuan
Date: October 21, 2024
Speaker: Thomas D. Ahle
Date: October 7, 2024
Speaker: Hongzhi You
Date: September 23, 2024
Speaker: Alexander G. Ororbia II
Date: September 9, 2024
Speaker: Stefan Reimann
Note: the presentation begins at approx. 31.30 min of the recording
Date: June 3, 2024
Speaker: Josh Cynamon
Date: June 3, 2024
Speaker: Nathan McDonald
Date: May 20, 2024
Preprint: Assembling Modular, Hierarchical Cognitive Map Learners with Hyperdimensional Computing
Speaker: Zhuowen (Kevin) Zou
Date: April 22, 2024
Speaker: Alexandr Korchemnyi and Alexey Kovalev
Date: April 8, 2024
Speaker: Chris Kymn
Date: March 25, 2024
Preprint: Computing with Residue Numbers in High-Dimensional Representation
Speaker: Nicolas Menet
Date: February 26, 2024
Paper: MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
Speaker: Martha Lewis
Date: February 12, 2024
Paper: Compositional Vector Semantics in Spiking Neural Networks
Speaker: Michael Furlong
Date: January 29, 2024
Article: Modelling Neural Probabilistic Computation using Vector Symbolic Architectures
Speaker: Yeseong Kim
Date: December 11, 2023
Speaker: Hussam Amrouch
Date: November 27, 2023
Article: HW/SW Co-Design for Reliable TCAM- Based In-Memory Brain-Inspired Hyperdimensional Computing
Speaker: Kenneth L. Clarkson
Date: November 13, 2023
Preprint: Capacity Analysis of Vector Symbolic Architectures
Speaker: Anthony Thomas
Date: October 30, 2023
Speaker: Ali Safa
Date: October 16, 2023
Paper: SupportHDC: Hyperdimensional Computing with Scalable Hypervector Sparsity
Speaker: Pu (Luke) Yi, Sara Achour
Date: October 2, 2023
Article: Hardware-Aware Static Optimization of Hyperdimensional Computations
Speaker: Christoph Stoeckl
Date: September 18, 2023
Preprint: Local Prediction-learning in High-dimensional Spaces Enables Neural Networks to Plan
Speaker: Tony Plate
Date: September 11, 2023
Date: June 15, 2023
Speaker: Denis Kleyko
Date: May 29, 2023
Article: Efficient Decoding of Compositional Structure in Holistic Representations
Speaker: Dehao Yuan
Date: May 15, 2023
Preprint: Decodable and Sample Invariant Continuous Object Encoder
Speaker: Geethan Karunaratne
Date: May 1, 2023
Article: In-memory Factorization of Holographic Perceptual Representations
Speaker: Michael Hersche
Date: April 24, 2023
Article: A Neuro-vector-symbolic Architecture for Solving Raven’s Progressive Matrices
Speaker: Madison Cotteret
Date: April 3, 2023
Preprint: Vector Symbolic Finite State Machines in Attractor Neural Networks
Speaker: Justin Theiss
Date: March 13, 2023
Paper: Unpaired Image Translation via Vector Symbolic Architectures
Speaker: Samuel Wilson
Date: February 20, 2023
Paper: Hyperdimensional Feature Fusion for Out-Of-Distribution Detection
Speaker: E. Paxon Frady
Date: February 6, 2023
Speaker: Mohammad Alam
Date: January 23, 2023
Paper: Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
Date: December 19, 2022
Speaker: Mike Heddes
Date: December 5, 2022
Preprint: Hyperdimensional Hashing: A Robust and Efficient Dynamic Hash Table
Speaker: Frank Qiu
Date: November 14, 2022
Preprint: Graph Embeddings via Tensor Products and Approximately Orthonormal Codes
Speaker: Kenny Schlegel
Date: November 7, 2022
Paper: HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing
Speaker: Edward Raff
Date: October 24, 2022
Preprint: Recasting Self-Attention with Holographic Reduced Representations
Speaker: Mike Heddes
Date: October 10, 2022
Preprint: Torchhd: An Open-Source Python Library to Support Hyperdimensional Computing Research
Speaker: Trenton Bricken
Date: September 12, 2022
Speaker: Graham Bent
Date: August 29, 2022
Paper: Hyperdimensional Computing using Time-to-spike Neuromorphic Circuits
Speaker: Nicole Sandra-Yaffa Dumont
Date: June 20, 2022
Paper: A Model of Path Integration that Connects Neural and Symbolic Representation
Speaker: Tao Yu
Date: May 23, 2022
Preprint: Understanding Hyperdimensional Computing for Parallel Single-Pass Learning
Speaker: Stephen I. Gallant
Date: May 9, 2022
Preprint: Orthogonal Matrices for MBAT Vector Symbolic Architectures, and a "Soft" VSA Representation for JSON
Speaker: Michael Furlong
Date: April 25, 2022
Paper: Fractional Binding in Vector Symbolic Representations for Efficient Mutual Information Exploration
Speaker: Wilkie Olin-Ammentorp
Date: March 14, 2022
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
Speaker: Cristian Axenie
Date: February 14, 2022
Speaker: Chloe Mercier & Thierry Vieville
Date: January 31, 2022
Paper: Ontology as Neuronal-space Manifold: Towards Symbolic and Numerical Artificial Embedding
Speaker: Evgeny Osipov
Date: November 29, 2021
Preprint: HyperSeed: Unsupervised Learning with Vector Symbolic Architectures
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)
Speaker: Yulia Sandamirskaya
Date: October 18, 2021
A Neuromorphic Approach for Tracking Using Dynamic Neural Fields on a Programmable Vision-chip
Speaker: Michael Hersche
Date: October 4, 2021
Paper: Near-channel Classifier: Symbiotic Communication and Classification in High-dimensional Space
Speaker: Cameron Diao
Date: September 20, 2021
Speaker: Peter beim Graben
Date: August 23, 2021
Paper: Inverse Problems in Dynamic Cognitive Modeling
Speakers: Paul Smolensky and Coleman Haley
Date: June 14, 2021
Paper: Invertible Tree Embeddings using a Cryptographic Role Embedding Scheme
Speaker: Geethan Karunaratne
Date: May 17, 2021
Paper: Robust High-dimensional Memory-augmented Neural Networks
Speaker: Hedda R. Schmidtke
Date: March 29, 2021
Paper: Multi-modal Actuation with the Activation Bit Vector Machine
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
Speaker: Ryan Calmus
Date: January 25, 2021
Speaker: Michael Hersche
Date: December 14, 2020
Speaker: Mohsen Imani
Date: December 14, 2020
Speaker: Hun-Seok Kim
Date: November 30, 2020
Paper: HDM: Hyper-Dimensional Modulation for Robust Low-Power Communications
Speaker: Evgeny Osipov
Date: November 18, 2020
Speaker: Kenny Schlegel
Date: November 16, 2020
Speaker: Peter Sutor
Date: November 16, 2020
Paper: Symbolic Representation and Learning With Hyperdimensional Computing
Speaker: Job Quiroz
Date: July 27, 2020
Paper: Semantic Similarity Estimation Using Vector Symbolic Architectures
Speaker: Tony Plate
Date: July 13, 2020
Speaker: M. Alex Kelly
Date: June 29, 2020
Paper: Indirect Associations in Learning Semantic and Syntactic Lexical Relationships
Speaker: Graham Bent
Date: June 29, 2020
Speaker: Peer Neubert
Date: June 15, 2020
Paper: An Introduction to Hyperdimensional Computing for Robotics
Speaker: Evgeny Osipov
Date: June 15, 2020
Speaker: Stefan Reimann
Date: June 1, 2020
Speaker: Denis Kleyko
Date: June 1, 2020
Paper: Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks
Speaker: Hedda R. Schmidtke
Date: May 18, 2020
Speaker: Ross W. Gayler
Date: May 18, 2020
Speaker: Jussi Karlgren
Date: July 13, 2018
Paper: High-Dimensional Distributed Semantic Spaces for Utterances
