Nicolas Skatchkovsky

Orcid: 0000-0002-9111-7479

Affiliations:
  • King's College London, UK


According to our database1, Nicolas Skatchkovsky authored at least 14 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference.
IEEE Trans. Cogn. Commun. Netw., April, 2023

Neuromorphic Integrated Sensing and Communications.
IEEE Wirel. Commun. Lett., March, 2023

Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing.
CoRR, 2023

Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022
Bayesian continual learning via spiking neural networks.
Frontiers Comput. Neurosci., 2022

2021
Spiking Neural Networks - Part III: Neuromorphic Communications.
IEEE Commun. Lett., 2021

Spiking Neural Networks - Part II: Detecting Spatio-Temporal Patterns.
IEEE Commun. Lett., 2021

Spiking Neural Networks - Part I: Detecting Spatial Patterns.
IEEE Commun. Lett., 2021

Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning.
CoRR, 2020

VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner- Take-All Circuits.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Optimizing Pipelined Computation and Communication for Latency-Constrained Edge Learning.
IEEE Commun. Lett., 2019


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