King's College London

• Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning

  Rosenfeld, B., Simeone, O. & Rajendran, B., 1 Nov 2022, In: IEEE TRANSACTIONS ON COMPUTERS. 71, 11, p. 2778-2791

  Research output: Contribution to journal › Article › peer-review

• Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning algorithms

  Pantazi, A., Rajendran, B., Simeone, O. & Neftci, E., 25 Jul 2022, In: Frontiers in Neuroscience. 16, 974627.

  Research output: Contribution to journal › Editorial › peer-review

• Fast on-device adaptation for spiking neural networks via online-within-online meta-learning

  Rosenfeld, B., Rajendran, B. & Simeone, O., 5 Jun 2021, 2021 IEEE Data Science and Learning Workshop, DSLW 2021. Institute of Electrical and Electronics Engineers Inc., (2021 IEEE Data Science and Learning Workshop, DSLW 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Hybrid in-memory computing architecture for the training of deep neural networks

  Joshi, V., He, W., Seo, J. S. & Rajendran, B., 2021, 2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 9401384. (Proceedings - IEEE International Symposium on Circuits and Systems; vol. 2021-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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