ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1709.00848
  4. Cited By
Neural Distributed Autoassociative Memories: A Survey

Neural Distributed Autoassociative Memories: A Survey

4 September 2017
V. Gritsenko
D. Rachkovskij
A. Frolov
R. Gayler
Denis Kleyko
Evgeny Osipov
ArXiv (abs)PDFHTML

Papers citing "Neural Distributed Autoassociative Memories: A Survey"

13 / 13 papers shown
Title
On Design Choices in Similarity-Preserving Sparse Randomized Embeddings
Denis Kleyko
D. Rachkovskij
111
0
0
28 Jan 2025
Distributed Representations Enable Robust Multi-Timescale Symbolic Computation in Neuromorphic Hardware
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
142
2
0
02 May 2024
Vector Symbolic Finite State Machines in Attractor Neural Networks
Vector Symbolic Finite State Machines in Attractor Neural Networks
Madison Cotteret
Hugh Greatorex
Martin Ziegler
Elisabetta Chicca
96
6
0
02 Dec 2022
Generalized Key-Value Memory to Flexibly Adjust Redundancy in
  Memory-Augmented Networks
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks
Denis Kleyko
G. Karunaratne
J. Rabaey
Abu Sebastian
Abbas Rahimi
KELM
91
10
0
11 Mar 2022
Recursive Binding for Similarity-Preserving Hypervector Representations
  of Sequences
Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences
D. Rachkovskij
Denis Kleyko
63
7
0
27 Jan 2022
A Survey on Hyperdimensional Computing aka Vector Symbolic
  Architectures, Part II: Applications, Cognitive Models, and Challenges
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
A. Rahim
104
136
0
12 Nov 2021
A Survey on Hyperdimensional Computing aka Vector Symbolic
  Architectures, Part I: Models and Data Transformations
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
Abbas Rahimi
155
127
0
11 Nov 2021
Hyperseed: Unsupervised Learning with Vector Symbolic Architectures
Hyperseed: Unsupervised Learning with Vector Symbolic Architectures
Evgeny Osipov
Sachin Kahawala
D. Haputhanthri
Thimal Kempitiya
Daswin De Silva
D. Alahakoon
Denis Kleyko
123
26
0
15 Oct 2021
Computing on Functions Using Randomized Vector Representations
Computing on Functions Using Randomized Vector Representations
E. P. Frady
Denis Kleyko
Christopher J. Kymn
Bruno A. Olshausen
Friedrich T. Sommer
80
71
0
08 Sep 2021
Vector Symbolic Architectures as a Computing Framework for Emerging
  Hardware
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
107
61
0
09 Jun 2021
Cellular Automata Can Reduce Memory Requirements of Collective-State
  Computing
Cellular Automata Can Reduce Memory Requirements of Collective-State Computing
Denis Kleyko
E. P. Frady
Friedrich T. Sommer
67
16
0
07 Oct 2020
Variable Binding for Sparse Distributed Representations: Theory and
  Applications
Variable Binding for Sparse Distributed Representations: Theory and Applications
E. P. Frady
Denis Kleyko
Friedrich T. Sommer
97
57
0
14 Sep 2020
Vector symbolic architectures for context-free grammars
Vector symbolic architectures for context-free grammars
P. B. Graben
Markus Huber
Werner Meyer
Ronald Römer
M. Wolff
66
9
0
11 Mar 2020
1