Dependable MAC Layer Architecture Based on Holographic Data Representation Using Hyper-Dimensional Binary Spatter Codes. - Denis Kleyko; Nikita Lyamin; Evgeny Osipov; Laurynas Riliskis (MACOM, 2012)

On Bidirectional Transitions between Localist and Distributed Representations: The Case of Common Substrings Search Using Vector Symbolic Architecture. - Denis Kleyko; Evgeny Osipov (BICA, 2014)

On methodology of implementing distributed function block applications using TinyOS WSN nodes. - Denis Kleyko; Evgeny Osipov; Sandeep Patil; Valeriy Vyatkin; Zhibo Pang (ETFA, 2014)

Modified Algorithm of Dynamic Frequency Hopping (DFH) in the IEEE 802.22 Standard. - Denis Kleyko; Nikita Lyamin; Evgeny Osipov (MACOM, 2014)

Exploiting bacterial properties for multi-hop nanonetworks. - Sasitharan Balasubramaniam; Nikita Lyamin; Denis Kleyko; Mikael Skurnik; Alexey V. Vinel; Yevgeni Koucheryavy (IEEE Commun. Mag., 2014)

Fly-The-Bee: A Game Imitating Concept Learning in Bees. - Denis Kleyko; Evgeny Osipov; Magnus Björk; Henrik Toresson; Anton Öberg (BICA, 2015)

Fault detection in the hyperspace: Towards intelligent automation systems. - Denis Kleyko; Evgeny Osipov; Nikolaos Papakonstantinou; Valeriy Vyatkin; Arash Mousavi (INDIN, 2015)

Comparison of Machine Learning Techniques for Vehicle Classification Using Road Side Sensors. - Denis Kleyko; Roland Hostettler; Wolfgang Birk; Evgeny Osipov (ITSC, 2015)

Holographic Graph Neuron: a Bio-Inspired Architecture for Pattern Processing. - Denis Kleyko; Evgeny Osipov; Alexander Senior; Asad I. Khan; Y. Ahmet Sekercioglu (CoRR, 2015)

An Approach for Self-Adaptive Path Loss Modeling for Accurate Positioning in Underground Environments. - Evgeny Osipov; Denis Kleyko (CoRR, 2015)

Performance Peculiarities of Viterbi Decoder in Mathworks Simulink, GNU Radio and Other Systems with Likewise Implementation. - Alexey Shapin; Denis Kleyko; Nikita Lyamin; Evgeny Osipov; Oleg Melentyev (CoRR, 2015)

Recognizing Permuted Words with Vector Symbolic Architectures: A Cambridge Test for Machines. - Denis Kleyko; Evgeny Osipov; Ross W. Gayler (BICA, 2016)

Modification of Holographic Graph Neuron Using Sparse Distributed Representations. - Denis Kleyko; Evgeny Osipov; Dmitri A. Rachkovskij (BICA, 2016)

Sparse Coding of Cardiac Signals for Automated Component Selection after Blind Source Separation. - Daniel Wedekind; Denis Kleyko; Evgeny Osipov; Hagen Malberg; Sebastian Zaunseder; Urban Wiklund (CinC, 2016)

Vehicle classification using road side sensors and feature-free data smashing approach. - Denis Kleyko; Roland Hostettler; Nikita Lyamin; Wolfgang Birk; Urban Wiklund; Evgeny Osipov (ITSC, 2016)

Poster: Approximate Sensing with Vector Symbolic Architectures: The case of fault isolation in distributed automation systems. - Evgeny Osipov; Denis Kleyko; Nikolaos Papakonstantinou (EWSN, 2017)

Associative synthesis of finite state automata model of a controlled object with hyperdimensional computing. - Evgeny Osipov; Denis Kleyko; Alexander I. Legalov (IECON, 2017)

Modality classification of medical images with distributed representations based on cellular automata reservoir computing. - Denis Kleyko; Sameer Khan; Evgeny Osipov; Suet-Peng Yong (ISBI, 2017)

Theory of the superposition principle for randomized connectionist representations in neural networks. - Edward Paxon Frady; Denis Kleyko; Friedrich T. Sommer (CoRR, 2017)

Integer Echo State Networks: Hyperdimensional Reservoir Computing. - Denis Kleyko; Edward Paxon Frady; Evgeny Osipov (CoRR, 2017)

Autoscaling Bloom Filter: Controlling Trade-off Between True and False Positives. - Denis Kleyko; Abbas Rahimi; Evgeny Osipov (CoRR, 2017)

Neural Distributed Autoassociative Memories: A Survey. - V. I. Gritsenko; Dmitri A. Rachkovskij; A. A. Frolov; Ross W. Gayler; Denis Kleyko; Evgeny Osipov (CoRR, 2017)

High-Dimensional Computing as a Nanoscalable Paradigm. - Abbas Rahimi; Sohum Datta; Denis Kleyko; Edward Paxon Frady; Bruno A. Olshausen; Pentti Kanerva; Jan M. Rabaey (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

Holographic Graph Neuron: A Bioinspired Architecture for Pattern Processing. - Denis Kleyko; Evgeny Osipov; Alexander Senior; Asad I. Khan; Yasar Ahmet Sekercioglu (IEEE Trans. Neural Networks Learn. Syst., 2017)

Detection of Atrial Fibrillation From Short ECGs: Minimalistic Complexity Analysis for Feature-Based Classifiers. - Anara Abdukalikova; Denis Kleyko; Evgeny Osipov; Urban Wiklund (CinC, 2018)

Vector-Based Analysis of the Similarity Between Breathing and Heart Rate During Paced Deep Breathing. - Denis Kleyko; Evgeny Osipov; Urban Wiklund (CinC, 2018)

A Domain Knowledge-Based Solution for Human Activity Recognition: The UJA Dataset Analysis. - Niklas Karvonen; Denis Kleyko (UCAmI, 2018)

Hyperdimensional Computing in Industrial Systems: The Use-Case of Distributed Fault Isolation in a Power Plant. - Denis Kleyko; Evgeny Osipov; Nikolaos Papakonstantinou; Valeriy Vyatkin (IEEE Access, 2018)

A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks. - Edward Paxon Frady; Denis Kleyko; Friedrich T. Sommer (Neural Comput., 2018)

AI-Based Malicious Network Traffic Detection in VANETs. - Nikita Lyamin; Denis Kleyko; Quentin Delooz; Alexey V. Vinel (IEEE Netw., 2018)

Robust Methods for Automated Selection of Cardiac Signals After Blind Source Separation. - Daniel Wedekind; Denis Kleyko; Evgeny Osipov; Hagen Malberg; Sebastian Zaunseder; Urban Wiklund (IEEE Trans. Biomed. Eng., 2018)

Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics. - Denis Kleyko; Abbas Rahimi; Dmitri A. Rachkovskij; Evgeny Osipov; Jan M. Rabaey (IEEE Trans. Neural Networks Learn. Syst., 2018)

Vector Symbolic Architectures and their applications: Computing with random vectors in a hyperdimensional space. - Denis Kleyko (2018)

Distributed Representation of n-gram Statistics for Boosting Self-organizing Maps with Hyperdimensional Computing. - Denis Kleyko; Evgeny Osipov; Daswin De Silva; Urban Wiklund; Valeriy Vyatkin; Damminda Alahakoon (Ershov Informatics Conference, 2019)

Low-Power Classification using FPGA - An Approach based on Cellular Automata, Neural Networks, and Hyperdimensional Computing. - Niklas Karvonen; Joakim Nilsson; Denis Kleyko; Lara Lorna Jiménez (ICMLA, 2019)

Integer Self-Organizing Maps for Digital Hardware. - Denis Kleyko; Evgeny Osipov; Daswin De Silva; Urban Wiklund; Damminda Alahakoon (IJCNN, 2019)

Trajectory clustering of road traffic in urban environments using incremental machine learning in combination with hyperdimensional computing. - Tharindu R. Bandaragoda; Daswin De Silva; Denis Kleyko; Evgeny Osipov; Urban Wiklund; Damminda Alahakoon (ITSC, 2019)

Parameter Estimation for the Resulting Logical Channel Formed by Minimizing Channel Switching. - P. V. Krasheninnikov; O. G. Melent'ev; Denis Kleyko; Alexey Shapin (Autom. Remote. Control., 2019)

A Hyperdimensional Computing Framework for Analysis of Cardiorespiratory Synchronization During Paced Deep Breathing. - Denis Kleyko; Evgeny Osipov; Urban Wiklund (IEEE Access, 2019)

Real-Time Jamming DoS Detection in Safety-Critical V2V C-ITS Using Data Mining. - Nikita Lyamin; Denis Kleyko; Quentin Delooz; Alexey V. Vinel (IEEE Commun. Lett., 2019)

End to End Binarized Neural Networks for Text Classification. - Kumar Shridhar; Harshil Jain; Akshat Agarwal; Denis Kleyko (SustaiNLP@EMNLP, 2020)

Commentaries on "Learning Sensorimotor Control with Neuromorphic Sensors: Toward Hyperdimensional Active Perception" [Science Robotics Vol 4 Issue 30 (2019) 1-10. - Denis Kleyko; Ross W. Gayler; Evgeny Osipov (CoRR, 2020)

Perceptron Theory for Predicting the Accuracy of Neural Networks. - Denis Kleyko; Antonello Rosato; Edward Paxon Frady; Massimo Panella; Friedrich T. Sommer (CoRR, 2020)

Autoscaling Bloom filter: controlling trade-off between true and false positives. - Denis Kleyko; Abbas Rahimi; Ross W. Gayler; Evgeny Osipov (Neural Comput. Appl., 2020)

An Automated Machine Learning Approach for Smart Waste Management Systems. - David Rutqvist; Denis Kleyko; Fredrik Blomstedt (IEEE Trans. Ind. Informatics, 2020)

HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing Enabled Embedding of n-gram Statistics. - Pedro Alonso; Kumar Shridhar; Denis Kleyko; Evgeny Osipov; Marcus Liwicki (IJCNN, 2021)

Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing. - Cameron Diao; Denis Kleyko; Jan M. Rabaey; Bruno A. Olshausen (IJCNN, 2021)

Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks. - Antonello Rosato; Massimo Panella; Denis Kleyko (IJCNN, 2021)

On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks. - Antonello Rosato; Massimo Panella; Evgeny Osipov; Denis Kleyko (IWANN (2), 2021)

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. - Denis Kleyko; Mike Davies 002; Edward Paxon Frady; Pentti Kanerva; Spencer J. Kent; Bruno A. Olshausen; Evgeny Osipov; Jan M. Rabaey; Dmitri A. Rachkovskij; Abbas Rahimi; Friedrich T. Sommer (CoRR, 2021)

Computing on Functions Using Randomized Vector Representations. - Edward Paxon Frady; Denis Kleyko; Christopher J. Kymn; Bruno A. Olshausen; Friedrich T. Sommer (CoRR, 2021)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks. - Denis Kleyko; Mansour Kheffache; Edward Paxon Frady; Urban Wiklund; Evgeny Osipov (IEEE Trans. Neural Networks Learn. Syst., 2021)

Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences. - Dmitri A. Rachkovskij; Denis Kleyko (IJCNN, 2022)

Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing. - Antonello Rosato; Massimo Panella; Evgeny Osipov; Denis Kleyko (IJCNN, 2022)

Computing on Functions Using Randomized Vector Representations (in brief). - Edward Paxon Frady; Denis Kleyko; Christopher J. Kymn; Bruno A. Olshausen; Friedrich T. Sommer (NICE, 2022)

Integer Factorization with Compositional Distributed Representations. - Denis Kleyko; Connor Bybee; Christopher J. Kymn; Bruno A. Olshausen; Amir Khosrowshahi; Dmitri E. Nikonov; Friedrich T. Sommer; Edward Paxon Frady (NICE, 2022)

Computing with Hypervectors for Efficient Speaker Identification. - Ping-Chen Huang; Denis Kleyko; Jan M. Rabaey; Bruno A. Olshausen; Pentti Kanerva (CoRR, 2022)

Efficient Optimization with Higher-Order Ising Machines. - Connor Bybee; Denis Kleyko; Dmitri E. Nikonov; Amir Khosrowshahi; Bruno A. Olshausen; Friedrich T. Sommer (CoRR, 2022)

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. - Denis Kleyko; Mike Davies 002; Edward Paxon Frady; Pentti Kanerva; Spencer J. Kent; Bruno A. Olshausen; Evgeny Osipov; Jan M. Rabaey; Dmitri A. Rachkovskij; Abbas Rahimi; Friedrich T. Sommer (Proc. IEEE, 2022)

Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware. - Denis Kleyko; Edward Paxon Frady; Mansour Kheffache; Evgeny Osipov (IEEE Trans. Neural Networks Learn. Syst., 2022)

Cellular Automata Can Reduce Memory Requirements of Collective-State Computing. - Denis Kleyko; Edward Paxon Frady; Friedrich T. Sommer (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations. - Denis Kleyko; Dmitri A. Rachkovskij; Evgeny Osipov; Abbas Rahimi (ACM Comput. Surv., 2023)

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges. - Denis Kleyko; Dmitri A. Rachkovskij; Evgeny Osipov; Abbas Rahimi (ACM Comput. Surv., 2023)

Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures. - Mike Heddes; Igor Nunes; Pere Vergés; Denis Kleyko; Danny Abraham; Tony Givargis; Alexandru Nicolau; Alexander V. Veidenbaum (J. Mach. Learn. Res., 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Variable Binding for Sparse Distributed Representations: Theory and Applications. - Edward Paxon Frady; Denis Kleyko; Friedrich T. Sommer (IEEE Trans. Neural Networks Learn. Syst., 2023)

Efficient Decoding of Compositional Structure in Holistic Representations. - Denis Kleyko; Connor Bybee; Ping-Chen Huang; Christopher J. Kymn; Bruno A. Olshausen; Edward Paxon Frady; Friedrich T. Sommer (Neural Comput., 2023)

Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks. - Denis Kleyko; Geethan Karunaratne; Jan M. Rabaey; Abu Sebastian; Abbas Rahimi (IEEE Trans. Neural Networks Learn. Syst., 2023)

On Design Choices in Similarity-Preserving Sparse Randomized Embeddings. - Denis Kleyko; Dmitri A. Rachkovskij (IJCNN, 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 (NICE, 2024)

Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps. - Christopher J. Kymn; Sonia Mazelet; Anthony Thomas; Denis Kleyko; Edward Paxon Frady; Fritz Sommer; Bruno A. Olshausen (NeurIPS, 2024)

Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps. - Christopher J. Kymn; Sonia Mazelet; Anthony Thomas; Denis Kleyko; Edward Paxon Frady; Friedrich T. Sommer; Bruno A. Olshausen (CoRR, 2024)

Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals. - Kenny Schlegel; Denis Kleyko; Benjamin H. Brinkmann; Ewan S. Nurse; Ross W. Gayler; Peer Neubert (Nat. Mac. Intell., 2024)

Computing With Residue Numbers in High-Dimensional Representation. - Christopher J. Kymn; Denis Kleyko; Edward Paxon Frady; Connor Bybee; Pentti Kanerva; Friedrich T. Sommer; Bruno A. Olshausen (Neural Comput., 2024)

Hyperseed: Unsupervised Learning With Vector Symbolic Architectures. - Evgeny Osipov; Sachin Kahawala; Dilantha Haputhanthri; Thimal Kempitiya; Daswin De Silva; Damminda Alahakoon; Denis Kleyko (IEEE Trans. Neural Networks Learn. Syst., 2024)

Perceptron Theory Can Predict the Accuracy of Neural Networks. - Denis Kleyko; Antonello Rosato; Edward Paxon Frady; Massimo Panella; Friedrich T. Sommer (IEEE Trans. Neural Networks Learn. Syst., 2024)

Classification using hyperdimensional computing: a review with comparative analysis. - Pere Vergés; Mike Heddes; Igor Nunes; Denis Kleyko; Tony Givargis; Alexandru Nicolau (Artif. Intell. Rev., 2025)