Variable Binding for Sparse Distributed Representations: Theory and Applications

14 September 2020

Papers citing "Variable Binding for Sparse Distributed Representations: Theory and Applications"

30 / 30 papers shown

Title
A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps Sven Krausse Emre Neftci Friedrich T. Sommer Alpha Renner 53 0 0 11 Mar 2025
On Design Choices in Similarity-Preserving Sparse Randomized Embeddings Denis Kleyko D. Rachkovskij 45 0 0 28 Jan 2025
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps Christopher J. Kymn Sonia Mazelet Anthony Thomas Denis Kleyko E. P. Frady Friedrich T. Sommer Bruno A. Olshausen 34 2 0 27 Jun 2024
Distributed Representations Enable Robust Multi-Timescale Symbolic Computation in Neuromorphic Hardware Madison Cotteret Hugh Greatorex Alpha Renner Junren Chen Emre Neftci Huaqiang Wu Giacomo Indiveri Martin Ziegler Elisabetta Chicca 36 2 0 02 May 2024
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures Michael Hersche Francesco di Stefano Thomas Hofmann Abu Sebastian Abbas Rahimi 22 8 0 29 Jan 2024
The Hyperdimensional Transform for Distributional Modelling, Regression and Classification Pieter Dewulf B. De Baets Michiel Stock 41 3 0 14 Nov 2023
Efficient Decoding of Compositional Structure in Holistic Representations Denis Kleyko Connor Bybee Ping-Chen Huang Christopher J. Kymn Bruno A. Olshausen E. P. Frady Friedrich T. Sommer 17 10 0 26 May 2023
Factorizers for Distributed Sparse Block Codes Michael Hersche Aleksandar Terzić G. Karunaratne Jovin Langenegger Angeline Pouget G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi 37 4 0 24 Mar 2023
Capacity Analysis of Vector Symbolic Architectures K. Clarkson Shashanka Ubaru E. Yang 16 10 0 24 Jan 2023
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 35 1 0 22 Nov 2022
Streaming Encoding Algorithms for Scalable Hyperdimensional Computing Anthony Thomas Behnam Khaleghi Gopi Krishna Jha S. Dasgupta N. Himayat Ravi Iyer Nilesh Jain Tajana Rosing 18 6 0 20 Sep 2022
Neuromorphic Visual Scene Understanding with Resonator Networks Alpha Renner Lazar Supic Andreea Danielescu Giacomo Indiveri Bruno A. Olshausen Yulia Sandamirskaya Friedrich T. Sommer E. P. Frady 26 19 0 26 Aug 2022
Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures Mike Heddes Igor O. Nunes Pere Vergés Denis Kleyko Danny Abraham T. Givargis Alexandru Nicolau A. Veidenbaum 33 20 0 18 May 2022
Optimal quadratic binding for relational reasoning in vector symbolic neural architectures Naoki Hiratani H. Sompolinsky 27 5 0 14 Apr 2022
Integer Factorization with Compositional Distributed Representations Denis Kleyko Connor Bybee Christopher J. Kymn Bruno A. Olshausen A. Khosrowshahi Dmitri E. Nikonov Friedrich T. Sommer E. P. Frady CoGe 16 9 0 02 Mar 2022
Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences D. Rachkovskij Denis Kleyko 11 7 0 27 Jan 2022
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges Denis Kleyko D. Rachkovskij Evgeny Osipov A. Rahim 21 126 0 12 Nov 2021
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations Denis Kleyko D. Rachkovskij Evgeny Osipov Abbas Rahimi 69 118 0 11 Nov 2021
Hyperseed: Unsupervised Learning with Vector Symbolic Architectures Evgeny Osipov Sachin Kahawala D. Haputhanthri Thimal Kempitiya Daswin De Silva D. Alahakoon Denis Kleyko 42 26 0 15 Oct 2021
Computing on Functions Using Randomized Vector Representations E. P. Frady Denis Kleyko Christopher J. Kymn Bruno A. Olshausen Friedrich T. Sommer 17 69 0 08 Sep 2021
On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks A. Rosato Massimo Panella Evgeny Osipov Denis Kleyko 15 3 0 17 Jun 2021
Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing Cameron Diao Denis Kleyko J. Rabaey Bruno A. Olshausen 17 26 0 17 Jun 2021
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks W. Olin-Ammentorp M. Bazhenov 11 5 0 15 Jun 2021
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware Denis Kleyko Mike Davies E. P. Frady P. Kanerva Spencer J. Kent ... Evgeny Osipov J. Rabaey D. Rachkovskij Abbas Rahimi Friedrich T. Sommer 32 56 0 09 Jun 2021
Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks A. Rosato Massimo Panella Denis Kleyko 25 18 0 02 Jun 2021
Perceptron Theory Can Predict the Accuracy of Neural Networks Denis Kleyko A. Rosato E. P. Frady Massimo Panella Friedrich T. Sommer GNN 20 10 0 14 Dec 2020
Cellular Automata Can Reduce Memory Requirements of Collective-State Computing Denis Kleyko E. P. Frady Friedrich T. Sommer 11 16 0 07 Oct 2020
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics Pedro Alonso Kumar Shridhar Denis Kleyko Evgeny Osipov Marcus Liwicki 14 22 0 03 Mar 2020
A comparison of Vector Symbolic Architectures Kenny Schlegel Peer Neubert P. Protzel 14 109 0 31 Jan 2020
Sparse neural networks with large learning diversity Vincent Gripon C. Berrou 63 160 0 21 Feb 2011