Denis Kleyko
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Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
Transactions on Machine Learning Research, 1-95, 2023
High-dimensional Computing as a Nanoscalable Paradigm
A Rahimi, S Datta, D Kleyko, EP Frady, B Olshausen, P Kanerva, ...
IEEE Transactions on Circuits and Systems I: Regular Papers 64 (9), 2508-2521, 2017
Classification and Recall with Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics
D Kleyko, A Rahimi, DA Rachkovskij, E Osipov, JM Rabaey
IEEE transactions on neural networks and learning systems 29 (12), 5880-5898, 2018
A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks
EP Frady, D Kleyko, FT Sommer
Neural Computation 30 (6), 1449-1513, 2018
Holographic Graph Neuron: A Bioinspired Architecture for Pattern Processing
D Kleyko, E Osipov, A Senior, AI Khan, YA Şekercioğlu
IEEE Transactions on Neural Networks and Learning Systems 28 (6), 1250-1262, 2017
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
D Kleyko, D Rachkovskij, E Osipov, A Rahimi
ACM Computing Surveys (CSUR) 55 (9), 1-52, 2023
An Automated Machine Learning Approach for Smart Waste Management Systems
D Rutqvist, D Kleyko, F Blomstedt
IEEE Transactions on Industrial Informatics 16 (1), 384-392, 2020
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware
D Kleyko, M Davies, EP Frady, P Kanerva, SJ Kent, BA Olshausen, ...
Proceedings of the IEEE 110 (10), 1538-1571, 2022
AI-based Malicious Network Traffic Detection in VANETs
N Lyamin, D Kleyko, Q Delooz, A Vinel
IEEE Network 32 (6), 15-21, 2018
Real-time Jamming DoS Detection in Safety-critical V2V C-ITS Using Data Mining
N Lyamin, D Kleyko, Q Delooz, A Vinel
IEEE Communications Letters 23 (3), 442-445, 2019
Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware
D Kleyko, EP Frady, M Kheffache, E Osipov
IEEE Transactions on Neural Networks and Learning Systems 33 (4), 1688-1701, 2022
Imitation of Honey Bees’ Concept Learning Processes Using Vector Symbolic Architectures
D Kleyko, E Osipov, RW Gayler, AI Khan, AG Dyer
Biologically Inspired Cognitive Architectures 14, 57-72, 2015
Comparison of Machine Learning Techniques for Vehicle Classification Using Road Side Sensors
D Kleyko, R Hostettler, W Birk, E Osipov
2015 IEEE 18th International Conference on Intelligent Transportationá…, 2015
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
Northern European Journal of Language Technology (NEJLT) 9 (1), 1-41, 2023
On Bidirectional Transitions Between Localist and Distributed Representations: The Case of Common Substrings Search Using Vector Symbolic Architecture
D Kleyko, E Osipov
Procedia Computer Science 41, 104-113, 2014
Neural Distributed Autoassociative Memories: A Survey
VI Gritsenko, DA Rachkovskij, AA Frolov, R Gayler, D Kleyko, E Osipov
arXiv preprint arXiv:1709.00848, 2017
Modality Classification of Medical Images with Distributed Representations Based on Cellular Automata Reservoir Computing
D Kleyko, S Khan, E Osipov, SP Yong
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017á…, 2017
Autoscaling Bloom Filter: Controlling Trade-off Between True and False Positives
D Kleyko, A Rahimi, RW Gayler, E Osipov
Neural Computing and Applications 32, 3675-3684, 2020
Modification of Holographic Graph Neuron using Sparse Distributed Representations
D Kleyko, E Osipov, DA Rachkovskij
Procedia Computer Science 88, 39-45, 2016
Variable Binding for Sparse Distributed Representations: Theory and Applications
EP Frady, D Kleyko, FT Sommer
IEEE Transactions on Neural Networks and Learning Systems 34 (5), 2191-2204, 2023
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