Professor Osvaldo Simeone Professor Osvaldo Simeone Academics Supervisors Professor of Information Engineering Chair of the UK and Ireland Chapter of the IEEE Information Theory Society. Research subject areas Engineering Contact details +44 (0)20 7848 1341 osvaldo.simeone@kcl.ac.uk
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck Skatchkovsky, N., Simeone, O. & Jang, H., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 17049-17059 11 p. (Advances in Neural Information Processing Systems; vol. 21). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review AI-Based Channel Prediction in D2D Links: An Empirical Validation Simmons, N., Ferreira Gomes, S. B., Yacoub, M. D., Simeone, O., Cotton, S. L. & Simmons, D. E., 2022, In: IEEE Access. 10, p. 65459-65472 14 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1109/ACCESS.2022.3182713 An Information-Theoretic Analysis of the Cost of Decentralization for Learning and Inference under Privacy Constraints Jose, S. T. & Simeone, O., Apr 2022, In: Entropy. 24, 4, 485. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.3390/e24040485 Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent Kassab, R. & Simeone, O., 2022, In: IEEE Transactions on Signal Processing. 70, p. 2180-2192 13 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1109/TSP.2022.3168490 Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization Nikoloska, I. & Simeone, O., 2022, In: IEEE SIGNAL PROCESSING LETTERS. 29, p. 977-981 5 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1109/LSP.2022.3164852 Fast Data-Driven Adaptation of Radar Detection via Meta-Learning Jiang, W., Haimovich, A. M., Govoni, M., Garner, T. & Simeone, O., 2021, 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021. Matthews, M. B. (ed.). IEEE Computer Society, p. 1618-1622 5 p. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2021-October). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1109/IEEECONF53345.2021.9723379 Learning How to Transfer from Uplink to Downlink via Hyper-Recurrent Neural Network for FDD Massive MIMO Liu, Y. & Simeone, O., 5 Apr 2022, (E-pub ahead of print) In: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1109/TWC.2022.3163249 Learning to Learn to Demodulate with Uncertainty Quantification via Bayesian Meta-Learning Cohen, K. M., Park, S., Simeone, O. & Shamai, S., 2021, WSA 2021 - 25th International ITG Workshop on Smart Antennas. VDE VERLAG GMBH, p. 202-207 6 p. (WSA 2021 - 25th International ITG Workshop on Smart Antennas). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review Multisample Online Learning for Probabilistic Spiking Neural Networks Jang, H. & Simeone, O., 2022, (Accepted/In press) In: IEEE Transactions on Neural Networks and Learning Systems. 33, 5, p. 2034-2044 11 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1109/TNNLS.2022.3144296 Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks Nikoloska, I. & Simeone, O., 2021, 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021. Institute of Electrical and Electronics Engineers Inc., p. 146-150 5 p. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; vol. 2021-September). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1109/SPAWC51858.2021.9593131 View all publications
21 April 2022 Research into smart radio environments wins 'outstanding paper' award Research into 6G recognised