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2109.03429
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Computing on Functions Using Randomized Vector Representations
Neuro Inspired Computational Elements Workshop (NICE), 2021
8 September 2021
E. P. Frady
Denis Kleyko
Christopher J. Kymn
Bruno A. Olshausen
Friedrich T. Sommer
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Papers citing
"Computing on Functions Using Randomized Vector Representations"
36 / 36 papers shown
The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes
Vladimir Baulin
Austin Cook
Daniel Friedman
Janna Lumiruusu
Andrew Pashea
Shagor Rahman
Benedikt Waldeck
233
3
0
23 May 2025
A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps
Neuro Inspired Computational Elements Workshop (NICE), 2025
Sven Krausse
Emre Neftci
Friedrich T. Sommer
Alpha Renner
371
0
0
11 Mar 2025
On Design Choices in Similarity-Preserving Sparse Randomized Embeddings
IEEE International Joint Conference on Neural Network (IJCNN), 2024
Denis Kleyko
D. Rachkovskij
281
2
0
28 Jan 2025
Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
Michael Hersche
Giacomo Camposampiero
Roger Wattenhofer
Abu Sebastian
Abbas Rahimi
LRM
395
5
0
07 Dec 2024
Improved Cleanup and Decoding of Fractional Power Encodings
Neuro Inspired Computational Elements Workshop (NICE), 2024
Alicia Bremer
Jeff Orchard
459
0
0
30 Nov 2024
Analogical Reasoning Within a Conceptual Hyperspace
Howard Goldowsky
Vasanth Sarathy
186
1
0
13 Nov 2024
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
312
11
0
27 Jun 2024
Generalized Holographic Reduced Representations
Calvin Yeung
Zhuowen Zou
Mohsen Imani
409
6
0
15 May 2024
Vector-Symbolic Architecture for Event-Based Optical Flow
Hongzhi You
Yijun Cao
Wei Yuan
Fanjun Wang
Ning Qiao
Yongjie Li
529
5
0
14 May 2024
Distributed Representations Enable Robust Multi-Timescale Symbolic Computation in Neuromorphic Hardware
Neuromorphic Computing and Engineering (NCE), 2024
Madison Cotteret
Hugh Greatorex
Alpha Renner
Junren Chen
Emre Neftci
Huaqiang Wu
Giacomo Indiveri
Martin Ziegler
Elisabetta Chicca
522
8
0
02 May 2024
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks
Christopher J. Kymn
Sonia Mazelet
Annabel Ng
Denis Kleyko
Bruno A. Olshausen
357
8
0
29 Apr 2024
A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)
International Conference on Machine Learning (ICML), 2024
Dehao Yuan
Cornelia Fermuller
Tahseen Rabbani
Furong Huang
Yiannis Aloimonos
3DPC
424
8
0
02 Apr 2024
Self-Attention Based Semantic Decomposition in Vector Symbolic Architectures
Calvin Yeung
Prathyush Poduval
Mohsen Imani
279
1
0
20 Mar 2024
Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices
IEEE International Joint Conference on Neural Network (IJCNN), 2024
Manuel E. Segura
Pere Vergés
Justin Tian Jin Chen
Ramesh Arangott
Angela Kristine Garcia
Laura Garcia Reynoso
Alexandru Nicolau
T. Givargis
Sergio Gago Masagué
230
5
0
18 Mar 2024
Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data
Michiel Stock
Dimitri Boeckaerts
Pieter Dewulf
S. Taelman
Maxime Van Haeverbeke
W. Criekinge
B. De Baets
278
18
0
27 Feb 2024
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning
Yang Ni
Zhuowen Zou
Wenjun Huang
Hanning Chen
William Youngwoo Chung
Samuel Cho
R. Krishnan
Pietro Mercati
Mohsen Imani
227
5
0
17 Feb 2024
An Encoding Framework for Binarized Images using HyperDimensional Computing
Laura Smets
W. V. Leekwijck
Ing Jyh Tsang
Steven Latré
362
8
0
01 Dec 2023
Computing with Residue Numbers in High-Dimensional Representation
Christopher J. Kymn
Denis Kleyko
E. P. Frady
Connor Bybee
P. Kanerva
Friedrich T. Sommer
Bruno A. Olshausen
216
12
0
08 Nov 2023
Decodable and Sample Invariant Continuous Object Encoder
International Conference on Learning Representations (ICLR), 2023
Dehao Yuan
Furong Huang
Cornelia Fermuller
Yiannis Aloimonos
367
3
0
31 Oct 2023
The Hyperdimensional Transform: a Holographic Representation of Functions
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2023
Pieter Dewulf
Michiel Stock
B. De Baets
230
5
0
24 Oct 2023
Efficient Decoding of Compositional Structure in Holistic Representations
Neural Computation (Neural Comput.), 2023
Denis Kleyko
Connor Bybee
Ping-Chen Huang
Christopher J. Kymn
Bruno A. Olshausen
E. P. Frady
Friedrich T. Sommer
376
14
0
26 May 2023
Hyperdimensional Computing with Spiking-Phasor Neurons
International Conference on Systems (ICONS), 2023
Jeff Orchard
Russell J Jarvis
245
12
0
28 Feb 2023
Efficient Hyperdimensional Computing
Zhanglu Yan
Shida Wang
Kaiwen Tang
Weng-Fai Wong
254
5
0
26 Jan 2023
Visual Odometry with Neuromorphic Resonator Networks
Alpha Renner
Lazar Supic
Andreea Danielescu
Giacomo Indiveri
E. P. Frady
Friedrich T. Sommer
Yulia Sandamirskaya
439
16
0
05 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
478
32
0
26 Aug 2022
Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures
Journal of machine learning research (JMLR), 2022
Mike Heddes
Igor O. Nunes
Pere Vergés
Denis Kleyko
Danny Abraham
T. Givargis
Alexandru Nicolau
A. Veidenbaum
314
45
0
18 May 2022
A Neuro-vector-symbolic Architecture for Solving Raven's Progressive Matrices
Nature Machine Intelligence (Nat. Mach. Intell.), 2022
Michael Hersche
Mustafa Zeqiri
Luca Benini
Abu Sebastian
Abbas Rahimi
NAI
306
121
0
09 Mar 2022
Integer Factorization with Compositional Distributed Representations
Neuro Inspired Computational Elements Workshop (NICE), 2022
Denis Kleyko
Connor Bybee
Christopher J. Kymn
Bruno A. Olshausen
A. Khosrowshahi
Dmitri E. Nikonov
Friedrich T. Sommer
E. P. Frady
CoGe
183
10
0
02 Mar 2022
Understanding Hyperdimensional Computing for Parallel Single-Pass Learning
Neural Information Processing Systems (NeurIPS), 2022
Tao Yu
Yichi Zhang
Zhiru Zhang
Christopher De Sa
331
46
0
10 Feb 2022
Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences
IEEE International Joint Conference on Neural Network (IJCNN), 2022
D. Rachkovskij
Denis Kleyko
205
10
0
27 Jan 2022
Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences
D. Rachkovskij
226
14
0
31 Dec 2021
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
ACM Computing Surveys (CSUR), 2021
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
A. Rahim
517
179
0
12 Nov 2021
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
ACM Computing Surveys (CSUR), 2021
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
Abbas Rahimi
506
190
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
348
35
0
15 Oct 2021
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware
Proceedings of the IEEE (Proc. IEEE), 2021
Denis Kleyko
Mike Davies
E. P. Frady
P. Kanerva
Spencer J. Kent
...
Evgeny Osipov
J. Rabaey
D. Rachkovskij
Abbas Rahimi
Friedrich T. Sommer
312
84
0
09 Jun 2021
Perceptron Theory Can Predict the Accuracy of Neural Networks
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Denis Kleyko
A. Rosato
E. P. Frady
Massimo Panella
Friedrich T. Sommer
GNN
250
14
0
14 Dec 2020
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