A Low-Power Artificial Intelligence Framework based on Vector Symbolic Architectures

Informations projet

devSAFARI

N° de convention de subvention: 839179

DOI 10.3030/839179

Projet clôturé

Date de signature de la CE 1 Avril 2019

Date de début 9 Janvier 2020

Date de fin 10 Juillet 2023

Financé au titre de

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coût total € 279 192,00

Contribution de l’UE € 279 192,00

Coordonné par

RISE RESEARCH INSTITUTES OF SWEDEN AB
Suède

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Publications

Actes de conférence (6)

HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing Enabled Embedding of n-gram Statistics

Auteurs: Pedro Alonso, Kumar Shridhar, Denis Kleyko, Evgeny Osipov, Marcus Liwicki
Publié dans: International Joint Conference on Neural Networks (IJCNN), 2021, ISSN 78-1-6654-3900-8
Éditeur: IEEE
DOI: 10.1109/ijcnn52387.2021.9534359

Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing

Auteurs: Cameron Diao; Denis Kleyko; Jan M. Rabaey; Bruno A. Olshausen
Publié dans: International Joint Conference on Neural Networks (IJCNN), 2021, Page(s) 1-9, ISSN 78-1-6654-3900-8
Éditeur: IEEE
DOI: 10.1109/ijcnn52387.2021.9533316

Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences

Auteurs: Dmitri A. Rachkovskij, Denis Kleyko
Publié dans: International Joint Conference on Neural Networks (IJCNN), 2022, ISBN 978-1-7281-8671-9
Éditeur: IEEE
DOI: 10.1109/ijcnn55064.2022.9892462

Computing on Functions Using Randomized Vector Representations (in brief)

Auteurs: E. Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer
Publié dans: NICE 2022: Neuro-Inspired Computational Elements Conference, 2022, Page(s) 115-122, ISBN 978-1-4503-9559-5
Éditeur: Association for Computing Machinery
DOI: 10.1145/3517343.3522597

Integer Factorization with Compositional Distributed Representations

Auteurs: Denis Kleyko, Connor Bybee, Christopher J. Kymn, Bruno A. Olshausen, Amir Khosrowshahi, Dmitri E. Nikonov, Friedrich T. Sommer, E. Paxon Frady
Publié dans: NICE 2022: Neuro-Inspired Computational Elements Conference, 2022, Page(s) 73-80, ISBN 978-1-4503-9559-5
Éditeur: Association for Computing Machinery
DOI: 10.1145/3517343.3517368

End to End Binarized Neural Networks for Text Classification

Auteurs: Kumar Shridhar, Harshil Jain, Akshat Agarwal, Denis Kleyko
Publié dans: Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020, Page(s) 29-34
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/2020.sustainlp-1.4

Articles approuvés par les pairs (12)

Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks

Auteurs: Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi
Publié dans: IEEE Transactions on Neural Networks and Learning Systems, 2022, ISSN 2162-237X
Éditeur: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2022.3159445

Perceptron Theory Can Predict the Accuracy of Neural Networks

Auteurs: Denis Kleyko, Antonello Rosato, E. Paxon Frady, Massimo Panella, Friedrich T. Sommer
Publié dans: IEEE Transactions on Neural Networks and Learning Systems, 2023, Page(s) 1-15, ISSN 2162-237X
Éditeur: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2023.3237381

Variable Binding for Sparse Distributed Representations: Theory and Applications.

Auteurs: Edward Paxon Frady; Denis Kleyko; Friedrich T. Sommer
Publié dans: IEEE Transactions on Neural Networks and Learning Systems, 2021, ISSN 2162-237X
Éditeur: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2021.3105949

Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks

Auteurs: Denis Kleyko, Mansour Kheffache, E. Paxon Frady, Urban Wiklund, Evgeny Osipov
Publié dans: IEEE Transactions on Neural Networks and Learning Systems, 2020, Page(s) 1-7, ISSN 2162-237X
Éditeur: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2020.3015971

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations

Auteurs: Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi
Publié dans: ACM Computing Surveys, 2022, ISSN 0360-0300
Éditeur: Association for Computing Machinary, Inc.
DOI: 10.1145/3538531

Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures

Auteurs: Mike Heddes, Igor Nunes, Pere Vergés, Denis Kleyko, Danny Abraham, Tony Givargis, Alexandru Nicolau, Alexander Veidenbaum
Publié dans: Journal of Machine Learning Research, 2023, Page(s) 1-10, ISSN 1533-7928
Éditeur: JMLR, Inc.
DOI: 10.48550/arxiv.2205.09208

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges

Auteurs: Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi
Publié dans: ACM Computing Surveys, 2023, ISSN 0360-0300
Éditeur: Association for Computing Machinary, Inc.
DOI: 10.1145/3558000

On Separating Long- and Short-term Memories in Hyperdimensional Computing

Auteurs: Jeffrey L. Teeters, Denis Kleyko, Pentti Kanerva, Bruno A. Olshausen
Publié dans: Frontiers in Neuroscience, 2023, Page(s) 1-19, ISSN 1662-453X
Éditeur: Frontiers Media S.A.
DOI: 10.3389/fnins.2022.867568

Efficient Decoding of Compositional Structure in Holistic Representations

Auteurs: Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen, E. Paxon Frady, Friedrich T. Sommer
Publié dans: Neural Computation, 2023, Page(s) 1159–1186, ISSN 0899-7667
Éditeur: MIT Press
DOI: 10.1162/neco_a_01590

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware

Auteurs: Denis Kleyko, Mike Davies, E. Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer
Publié dans: Proceedings of the IEEE, 2022, Page(s) 1538-1571, ISSN 0018-9219
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jproc.2022.3209104

Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware

Auteurs: Denis Kleyko, Edward Paxon Frady, Mansour Kheffache, Evgeny Osipov
Publié dans: IEEE Transactions on Neural Networks and Learning Systems, 2020, Page(s) 1-14, ISSN 2162-237X
Éditeur: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2020.3043309

Cellular Automata Can Reduce Memory Requirements of Collective-State Computing

Auteurs: Denis Kleyko, E. Paxon Frady, Friedrich T. Sommer
Publié dans: IEEE Transactions on Neural Networks and Learning Systems, 2022, Page(s) 2701-2713, ISSN 2162-237X
Éditeur: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2021.3119543