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

Información del proyecto

devSAFARI

Identificador del acuerdo de subvención: 839179

DOI

10.3030/839179

Proyecto cerrado

Fecha de la firma de la CE 1 Abril 2019

Fecha de inicio 9 Enero 2020

Fecha de finalización 10 Julio 2023

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 279 192,00

Aportación de la UE

€ 279 192,00

Coordinado por

RISE RESEARCH INSTITUTES OF SWEDEN AB
Sweden

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Conference proceedings (6)

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

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

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

Autores: Cameron Diao; Denis Kleyko; Jan M. Rabaey; Bruno A. Olshausen
Publicado en: International Joint Conference on Neural Networks (IJCNN), 2021, Página(s) 1-9, ISSN 78-1-6654-3900-8
Editor: IEEE
DOI: 10.1109/ijcnn52387.2021.9533316

Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences

Autores: Dmitri A. Rachkovskij, Denis Kleyko
Publicado en: International Joint Conference on Neural Networks (IJCNN), 2022, ISBN 978-1-7281-8671-9
Editor: IEEE
DOI: 10.1109/ijcnn55064.2022.9892462

Computing on Functions Using Randomized Vector Representations (in brief)

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

Integer Factorization with Compositional Distributed Representations

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

End to End Binarized Neural Networks for Text Classification

Autores: Kumar Shridhar, Harshil Jain, Akshat Agarwal, Denis Kleyko
Publicado en: Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020, Página(s) 29-34
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2020.sustainlp-1.4

Peer reviewed articles (12)

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

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

Perceptron Theory Can Predict the Accuracy of Neural Networks

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

Variable Binding for Sparse Distributed Representations: Theory and Applications.

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

Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks

Autores: Denis Kleyko, Mansour Kheffache, E. Paxon Frady, Urban Wiklund, Evgeny Osipov
Publicado en: IEEE Transactions on Neural Networks and Learning Systems, 2020, Página(s) 1-7, ISSN 2162-237X
Editor: 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

Autores: Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi
Publicado en: ACM Computing Surveys, 2022, ISSN 0360-0300
Editor: 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

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

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

Autores: Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi
Publicado en: ACM Computing Surveys, 2023, ISSN 0360-0300
Editor: Association for Computing Machinary, Inc.
DOI: 10.1145/3558000

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

Autores: Jeffrey L. Teeters, Denis Kleyko, Pentti Kanerva, Bruno A. Olshausen
Publicado en: Frontiers in Neuroscience, 2023, Página(s) 1-19, ISSN 1662-453X
Editor: Frontiers Media S.A.
DOI: 10.3389/fnins.2022.867568

Efficient Decoding of Compositional Structure in Holistic Representations

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

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware

Autores: 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
Publicado en: Proceedings of the IEEE, 2022, Página(s) 1538-1571, ISSN 0018-9219
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jproc.2022.3209104

Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware

Autores: Denis Kleyko, Edward Paxon Frady, Mansour Kheffache, Evgeny Osipov
Publicado en: IEEE Transactions on Neural Networks and Learning Systems, 2020, Página(s) 1-14, ISSN 2162-237X
Editor: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2020.3043309

Cellular Automata Can Reduce Memory Requirements of Collective-State Computing

Autores: Denis Kleyko, E. Paxon Frady, Friedrich T. Sommer
Publicado en: IEEE Transactions on Neural Networks and Learning Systems, 2022, Página(s) 2701-2713, ISSN 2162-237X
Editor: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2021.3119543