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ORCIDOsvaldo Simeone
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- affiliation: King's College London, UK
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2020 – today
- 2024
[j211]Jiechen Chen
, Sangwoo Park, Osvaldo Simeone:
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks. Entropy 26(2): 126 (2024)- [j210]Matteo Zecchin, Sangwoo Park, Osvaldo Simeone:
Forking Uncertainties: Reliable Prediction and Model Predictive Control With Sequence Models via Conformal Risk Control. IEEE J. Sel. Areas Inf. Theory 5: 44-61 (2024) - [j209]Sangwoo Park, Kfir M. Cohen, Osvaldo Simeone:
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 280-291 (2024) - [j208]Amirmohammad Farzaneh, Sangwoo Park, Osvaldo Simeone:
Quantile Learn-Then-Test: Quantile-Based Risk Control for Hyperparameter Optimization. IEEE Signal Process. Lett. 31: 3044-3048 (2024) - [j207]Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert:
Robust PACm: Training Ensemble Models Under Misspecification and Outliers. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16518-16532 (2024) - [j206]Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Osvaldo Simeone:
Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction. IEEE Trans. Signal Process. 72: 1235-1250 (2024) - [j205]Jiechen Chen, Sangwoo Park, Petar Popovski, H. Vincent Poor, Osvaldo Simeone:
Neuromorphic Split Computing With Wake-Up Radios: Architecture and Design via Digital Twinning. IEEE Trans. Signal Process. 72: 4635-4650 (2024) - [j204]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger:
Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. IEEE Wirel. Commun. 31(4): 163-169 (2024) - [c227]Zihang Song, Prabodh Katti, Osvaldo Simeone, Bipin Rajendran:
Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks. AICAS 2024: 31-35 - [c226]Amit Singh, Payam Barnaghi, Geoff V. Merrett, Eiman Kanjo, Rishad A. Shafik, Aurora Gil de Castro, Florenc Demrozi, Federica Zonzini, Amna Anwar, Bipin Rajendran, Osvaldo Simeone:
Welcome Message from the Chairs. COINS 2024: 1 - [c225]Victor Croisfelt, Shashi Raj Pandey, Osvaldo Simeone, Petar Popovski:
Batch Selection and Communication for Active Learning with Edge Labeling. ICC Workshops 2024: 1292-1297 - [c224]Matteo Zecchin, Kai Yu, Osvaldo Simeone:
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models. ICC Workshops 2024: 1573-1578 - [c223]Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström:
Generalization and Informativeness of Conformal Prediction. ISIT 2024: 244-249 - [c222]Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai Shitz:
Cross-Validation Conformal Risk Control. ISIT 2024: 250-255 - [c221]Petros Georgiou, Sharu Theresa Jose, Osvaldo Simeone:
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis. ISIT 2024: 789-794 - [c220]Zihang Song, Osvaldo Simeone, Bipin Rajendran:
Neuromorphic In-Context Learning for Energy-Efficient MIMO Symbol Detection. SPAWC 2024: 1-5 - [c219]Jiechen Chen, Sangwoo Park, Petar Popovski, H. Vincent Poor, Osvaldo Simeone:
Neuromorphic Semantic Communications with Wake-Up Radios. SPAWC 2024: 91-95 - [c218]Yunchuan Zhang, Sangwoo Park, Osvaldo Simeone:
Transferable Multi-Fidelity Bayesian Optimization for Radio Resource Management. SPAWC 2024: 176-180 - [c217]Matteo Zecchin, Kai Yu, Osvaldo Simeone:
Cell-Free Multi-User MIMO Equalization via In-Context Learning. SPAWC 2024: 646-650 - [c216]Haifeng Wen, Hong Xing, Osvaldo Simeone:
AirFL-Mem: Improving Communication-Learning Trade-Off by Long-Term Memory. WCNC 2024: 1-6 - [i288]Mingzhao Guo, Dongzhu Liu, Osvaldo Simeone, Dingzhu Wen:
Low-Rank Gradient Compression with Error Feedback for MIMO Wireless Federated Learning. CoRR abs/2401.07496 (2024) - [i287]Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström:
Generalization and Informativeness of Conformal Prediction. CoRR abs/2401.11810 (2024) - [i286]Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai:
Cross-Validation Conformal Risk Control. CoRR abs/2401.11974 (2024) - [i285]Petros Georgiou, Sharu Theresa Jose, Osvaldo Simeone:
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis. CoRR abs/2402.00176 (2024) - [i284]Eslam Eldeeb, Houssem Sifaou, Osvaldo Simeone, Mohammad Shehab, Hirley Alves:
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning for Digital Twins. CoRR abs/2402.08421 (2024) - [i283]Zihang Song, Prabodh Katti, Osvaldo Simeone, Bipin Rajendran:
Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks. CoRR abs/2402.09109 (2024) - [i282]Meiyi Zhu, Caili Guo, Chunyan Feng, Osvaldo Simeone:
Uncertainty, Calibration, and Membership Inference Attacks: An Information-Theoretic Perspective. CoRR abs/2402.10686 (2024) - [i281]Yunchuan Zhang, Sangwoo Park, Osvaldo Simeone:
Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search. CoRR abs/2403.09570 (2024) - [i280]Weicao Deng, Min Li, Ming-Min Zhao, Min-Jian Zhao, Osvaldo Simeone:
CSI Transfer From Sub-6G to mmWave: Reduced-Overhead Multi-User Hybrid Beamforming. CoRR abs/2403.10873 (2024) - [i279]Seongah Jeong, Jinkyu Kang, Osvaldo Simeone, Shlomo Shamai:
Cell-Free MIMO Perceptive Mobile Networks: Cloud vs. Edge Processing. CoRR abs/2403.19200 (2024) - [i278]Yuzhen Ke, Zoran Utkovski, Mehdi Heshmati, Osvaldo Simeone, Johannes Dommel, Slawomir Stanczak:
Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck. CoRR abs/2404.01804 (2024) - [i277]Jiechen Chen, Sangwoo Park, Petar Popovski, H. Vincent Poor, Osvaldo Simeone:
Neuromorphic Split Computing with Wake-Up Radios: Architecture and Design via Digital Twinning. CoRR abs/2404.01815 (2024) - [i276]Matteo Zecchin, Kai Yu, Osvaldo Simeone:
Cell-Free Multi-User MIMO Equalization via In-Context Learning. CoRR abs/2404.05538 (2024) - [i275]Jiayi Huang, Sangwoo Park, Osvaldo Simeone:
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference. CoRR abs/2404.11350 (2024) - [i274]Matteo Zecchin, Osvaldo Simeone:
Localized Adaptive Risk Control. CoRR abs/2405.07976 (2024) - [i273]Houssem Sifaou, Osvaldo Simeone:
Semi-Supervised Learning via Cross-Prediction-Powered Inference for Wireless Systems. CoRR abs/2405.15415 (2024) - [i272]Haifeng Wen, Hong Xing, Osvaldo Simeone:
Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs. CoRR abs/2406.11569 (2024) - [i271]Qiushuo Hou, Matteo Zecchin, Sangwoo Park, Yunlong Cai, Guanding Yu, Kaushik Chowdhury, Osvaldo Simeone:
Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning. CoRR abs/2406.15819 (2024) - [i270]Amirmohammad Farzaneh, Sangwoo Park, Osvaldo Simeone:
Quantile Learn-Then-Test: Quantile-Based Risk Control for Hyperparameter Optimization. CoRR abs/2407.17358 (2024) - [i269]Zihang Song, Prabodh Katti, Osvaldo Simeone, Bipin Rajendran:
Xpikeformer: Hybrid Analog-Digital Hardware Acceleration for Spiking Transformers. CoRR abs/2408.08794 (2024) - [i268]Sangwoo Park, Ahmet Hasim Gokceoglu, Li Wang, Osvaldo Simeone:
Scalable Multivariate Fronthaul Quantization for Cell-Free Massive MIMO. CoRR abs/2409.06715 (2024) - [i267]Amirmohammad Farzaneh, Osvaldo Simeone:
Statistically Valid Information Bottleneck via Multiple Hypothesis Testing. CoRR abs/2409.07325 (2024) - [i266]Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Petar Popovski, Osvaldo Simeone:
Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints. CoRR abs/2409.07902 (2024) - [i265]Matteo Zecchin, Osvaldo Simeone:
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection. CoRR abs/2409.15844 (2024) - [i264]Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone:
What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems. CoRR abs/2410.00150 (2024) - [i263]Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guanchu Wang, Dimitrios Pezaros, Guangxu Zhu:
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning. CoRR abs/2410.14390 (2024) - 2023
- [j203]Hari Hara Suthan Chittoor, Osvaldo Simeone:
Quantum Machine Learning for Distributed Quantum Protocols with Local Operations and Noisy Classical Communications. Entropy 25(2): 352 (2023) - [j202]Anushreya Ghosh, Annan Dong, Alexander M. Haimovich, Osvaldo Simeone, Jason A. Dabin:
Blind Source Separation of Intermittent Frequency Hopping Sources over LOS and NLOS Channels. Entropy 25(9): 1292 (2023) - [j201]Lisha Chen, Sharu Theresa Jose, Ivana Nikoloska, Sangwoo Park, Tianyi Chen, Osvaldo Simeone:
Learning with Limited Samples: Meta-Learning and Applications to Communication Systems. Found. Trends Signal Process. 17(2): 79-208 (2023) - [j200]Jinu Gong, Osvaldo Simeone, Joonhyuk Kang:
Compressed Particle-Based Federated Bayesian Learning and Unlearning. IEEE Commun. Lett. 27(2): 556-560 (2023) - [j199]Roberto Gonçalves Pacheco, Rodrigo S. Couto, Osvaldo Simeone:
On the impact of deep neural network calibration on adaptive edge offloading for image classification. J. Netw. Comput. Appl. 217: 103679 (2023) - [j198]Clement Ruah, Osvaldo Simeone, Bashir M. Al-Hashimi:
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems. IEEE J. Sel. Areas Commun. 41(10): 3146-3160 (2023) - [j197]Ivana Nikoloska, Osvaldo Simeone, Leonardo Banchi, Petar Velickovic:
Time-warping invariant quantum recurrent neural networks via quantum-classical adaptive gating. Mach. Learn. Sci. Technol. 4(4): 45038 (2023) - [j196]Meiyi Zhu, Chunyan Feng, Caili Guo, Nan Jiang, Osvaldo Simeone:
Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems. IEEE Signal Process. Lett. 30: 403-407 (2023) - [j195]Jiechen Chen, Nicolas Skatchkovsky, Osvaldo Simeone:
Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference. IEEE Trans. Cogn. Commun. Netw. 9(2): 252-265 (2023) - [j194]Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert:
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. IEEE Trans. Cogn. Commun. Netw. 9(4): 897-912 (2023) - [j193]Yunchuan Zhang, Osvaldo Simeone, Sharu Theresa Jose, Lorenzo Maggi, Alvaro Valcarce:
Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management. IEEE Trans. Cogn. Commun. Netw. 9(5): 1282-1295 (2023) - [j192]Wenbo Du, Tao Tan, Haijun Zhang, Xianbin Cao, Gang Yan, Osvaldo Simeone:
Network Topology Inference Based on Timing Meta-Data. IEEE Trans. Commun. 71(6): 3263-3273 (2023) - [j191]Ivana Nikoloska, Osvaldo Simeone:
Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks. IEEE Trans. Wirel. Commun. 22(1): 457-470 (2023) - [j190]Dongzhu Liu, Osvaldo Simeone:
Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy. IEEE Trans. Wirel. Commun. 22(5): 2946-2961 (2023) - [j189]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger:
Online Meta-Learning for Hybrid Model-Based Deep Receivers. IEEE Trans. Wirel. Commun. 22(10): 6415-6431 (2023) - [j188]Jiechen Chen, Nicolas Skatchkovsky, Osvaldo Simeone:
Neuromorphic Integrated Sensing and Communications. IEEE Wirel. Commun. Lett. 12(3): 476-480 (2023) - [c215]George J. Stamatakis, Osvaldo Simeone, Nikolaos Pappas:
Optimizing Information Freshness Over a Channel that Wears Out. ACSSC 2023: 85-89 - [c214]Haifeng Wen, Hong Xing, Osvaldo Simeone:
Convergence Analysis of Over-the-Air FL with Compression and Power Control via Clipping. GLOBECOM 2023: 267-272 - [c213]Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guangxu Zhu:
Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. GLOBECOM 2023: 5286-5291 - [c212]Luca Barbieri, Osvaldo Simeone, Monica Nicoli:
Channel-Driven Decentralized Bayesian Federated Learning for Trustworthy Decision Making in D2D Networks. ICASSP 2023: 1-5 - [c211]Hari Hara Suthan Chittoor, Osvaldo Simeone:
Learning Quantum Entanglement Distillation With Noisy Classical Communications. ICASSP 2023: 1-5 - [c210]Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai Shitz:
Calibrating AI Models for Few-Shot Demodulation VIA Conformal Prediction. ICASSP 2023: 1-5 - [c209]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger:
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. ICC Workshops 2023: 1032-1037 - [c208]Clement Ruah, Osvaldo Simeone, Bashir M. Al-Hashimi:
Digital Twin-Based Multiple Access Optimization and Monitoring via Model-Driven Bayesian Learning. ICC 2023: 3860-3865 - [c207]Riccardo Marini, Sangwoo Park, Osvaldo Simeone, Chiara Buratti:
Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks. ICC 2023: 5664-5669 - [c206]Prabodh Katti, Nicolas Skatchkovsky, Osvaldo Simeone, Bipin Rajendran, Bashir M. Al-Hashimi:
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity. ISCAS 2023: 1-5 - [c205]Hari Hara Suthan Chittoor, Osvaldo Simeone, Leonardo Banchi, Stefano Pirandola:
Online Convex Optimization of Programmable Quantum Computers to Simulate Time-Varying Quantum Channels. ITW 2023: 175-180 - [c204]Sharu Theresa Jose, Osvaldo Simeone:
Transfer Learning for Quantum Classifiers: An Information-Theoretic Generalization Analysis. ITW 2023: 532-537 - [c203]Jiayi Huang, Sangwoo Park, Osvaldo Simeone:
Calibration-Aware Bayesian Learning. MLSP 2023: 1-6 - [i262]Yunchuan Zhang, Osvaldo Simeone, Sharu Theresa Jose, Lorenzo Maggi, Alvaro Valcarce:
Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management. CoRR abs/2301.06510 (2023) - [i261]Ivana Nikoloska, Osvaldo Simeone, Leonardo Banchi, Petar Velickovic:
Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating. CoRR abs/2301.08173 (2023) - [i260]Prabodh Katti, Nicolas Skatchkovsky, Osvaldo Simeone, Bipin Rajendran, Bashir M. Al-Hashimi:
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity. CoRR abs/2302.01302 (2023) - [i259]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger:
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. CoRR abs/2302.02436 (2023) - [i258]Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Petar Popovski, Shlomo Shamai:
Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction. CoRR abs/2302.07675 (2023) - [i257]Sangwoo Park, Osvaldo Simeone:
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning. CoRR abs/2304.03398 (2023) - [i256]Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guangxu Zhu:
Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. CoRR abs/2305.04152 (2023) - [i255]Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger:
Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. CoRR abs/2305.07309 (2023) - [i254]Jiayi Huang, Sangwoo Park, Osvaldo Simeone:
Calibration-Aware Bayesian Learning. CoRR abs/2305.07504 (2023) - [i253]Haifeng Wen, Hong Xing, Osvaldo Simeone:
Convergence Analysis of Over-the-Air FL with Compression and Power Control via Clipping. CoRR abs/2305.11135 (2023) - [i252]Jiechen Chen, Sangwoo Park, Osvaldo Simeone:
SpikeCP: Delay-Adaptive Reliable Spiking Neural Networks via Conformal Prediction. CoRR abs/2305.11322 (2023) - [i251]Yunchuan Zhang, Sangwoo Park, Osvaldo Simeone:
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction. CoRR abs/2306.17815 (2023) - [i250]Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Osvaldo Simeone:
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction. CoRR abs/2308.04237 (2023) - [i249]Flor Ortiz, Nicolas Skatchkovsky, Eva Lagunas, Wallace A. Martins, Geoffrey Eappen, Saed Daoud, Osvaldo Simeone, Bipin Rajendran, Symeon Chatzinotas:
Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing. CoRR abs/2308.11152 (2023) - [i248]Leonardo Banchi, Jason Luke Pereira, Sharu Theresa Jose, Osvaldo Simeone:
Statistical Complexity of Quantum Learning. CoRR abs/2309.11617 (2023) - [i247]Bipin Rajendran, Osvaldo Simeone, Bashir M. Al-Hashimi:
Towards Efficient and Trustworthy AI Through Hardware-Algorithm-Communication Co-Design. CoRR abs/2309.15942 (2023) - [i246]Matteo Zecchin, Sangwoo Park, Osvaldo Simeone:
Forking Uncertainties: Reliable Prediction and Model Predictive Control with Sequence Models via Conformal Risk Control. CoRR abs/2310.10299 (2023) - [i245]Haifeng Wen, Hong Xing, Osvaldo Simeone:
AirFL-Mem: Improving Communication-Learning Trade-Off by Long-Term Memory. CoRR abs/2310.16606 (2023) - [i244]Jiechen Chen, Sangwoo Park, Osvaldo Simeone:
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks. CoRR abs/2310.16675 (2023) - [i243]Matteo Zecchin, Kai Yu, Osvaldo Simeone:
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models. CoRR abs/2311.06101 (2023) - [i242]Victor Croisfelt, Shashi Raj Pandey, Osvaldo Simeone, Petar Popovski:
Communication-Constrained Bayesian Active Knowledge Distillation. CoRR abs/2311.08053 (2023) - [i241]George J. Stamatakis, Osvaldo Simeone, Nikolaos Pappas:
Optimizing Information Freshness over a Channel that Wears Out. CoRR abs/2312.00914 (2023) - [i240]Clement Ruah, Osvaldo Simeone, Jakob Hoydis, Bashir M. Al-Hashimi:
Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimates. CoRR abs/2312.12625 (2023) - 2022
- [j187]Nidhi Simmons, Samuel Borges Ferreira Gomes, Michel Daoud Yacoub, Osvaldo Simeone, Simon L. Cotton, David E. Simmons:
AI-Based Channel Prediction in D2D Links: An Empirical Validation. IEEE Access 10: 65459-65472 (2022) - [j186]Sharu Theresa Jose, Osvaldo Simeone:
An Information-Theoretic Analysis of the Cost of Decentralization for Learning and Inference under Privacy Constraints. Entropy 24(4): 485 (2022) - [j185]Sangwoo Park, Osvaldo Simeone:
Speeding up Training of Linear Predictors for Multi-Antenna Frequency-Selective Channels via Meta-Learning. Entropy 24(10): 1363 (2022) - [j184]Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Bayesian continual learning via spiking neural networks. Frontiers Comput. Neurosci. 16 (2022) - [j183]Osvaldo Simeone:
An Introduction to Quantum Machine Learning for Engineers. Found. Trends Signal Process. 16(1-2): 1-223 (2022) - [j182]Rahif Kassab, Andrea Munari, Federico Clazzer, Osvaldo Simeone:
Grant-Free Coexistence of Critical and Noncritical IoT Services in Two-Hop Satellite and Terrestrial Networks. IEEE Internet Things J. 9(16): 14829-14843 (2022) - [j181]Dongzhu Liu, Osvaldo Simeone:
Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers. IEEE J. Sel. Areas Commun. 40(2): 562-577 (2022) - [j180]Ivana Nikoloska, Osvaldo Simeone:
Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization. IEEE Signal Process. Lett. 29: 977-981 (2022) - [j179]Wei Jiang, Alexander M. Haimovich, Osvaldo Simeone:
Joint Design of Radar Waveform and Detector via End-to-End Learning With Waveform Constraints. IEEE Trans. Aerosp. Electron. Syst. 58(1): 552-567 (2022) - [j178]Zhenghao Guo, Verity M. McClelland, Osvaldo Simeone, Kerry R. Mills, Zoran Cvetkovic:
Multiscale Wavelet Transfer Entropy With Application to Corticomuscular Coupling Analysis. IEEE Trans. Biomed. Eng. 69(2): 771-782 (2022) - [j177]Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran:
Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning. IEEE Trans. Computers 71(11): 2778-2791 (2022) - [j176]Roy Karasik, Osvaldo Simeone, Hyeryung Jang, Shlomo Shamai Shitz:
Learning to Broadcast for Ultra-Reliable Communication With Differential Quality of Service via the Conditional Value at Risk. IEEE Trans. Commun. 70(12): 8060-8074 (2022) - [j175]Sharu Theresa Jose, Osvaldo Simeone, Giuseppe Durisi:
Transfer Meta-Learning: Information- Theoretic Bounds and Information Meta-Risk Minimization. IEEE Trans. Inf. Theory 68(1): 474-501 (2022) - [j174]Hyeryung Jang, Osvaldo Simeone:
Multisample Online Learning for Probabilistic Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2034-2044 (2022) - [j173]