Osvaldo Simeone

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 461

Top Venues

Publications

Jiechen Chen, Sangwoo Park, Osvaldo Simeone
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks. Entropy 26 (2) (2024)
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) (2024)
Matteo Zecchin, Kai Yu, Osvaldo Simeone
Cell-Free Multi-User MIMO Equalization via In-Context Learning. CoRR (2024)
Zihang Song, Prabodh Katti, Osvaldo Simeone, Bipin Rajendran
Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks. CoRR (2024)
Matteo Zecchin, Kai Yu, Osvaldo Simeone
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models. ICC Workshops (2024)
Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai
Cross-Validation Conformal Risk Control. CoRR (2024)
Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström
Generalization and Informativeness of Conformal Prediction. CoRR (2024)
Petros Georgiou, Sharu Theresa Jose, Osvaldo Simeone
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis. CoRR (2024)
Haifeng Wen, Hong Xing, Osvaldo Simeone
AirFL-Mem: Improving Communication-Learning Trade-Off by Long-Term Memory. WCNC (2024)
Seongah Jeong, Jinkyu Kang, Osvaldo Simeone, Shlomo Shamai
Cell-Free MIMO Perceptive Mobile Networks: Cloud vs. Edge Processing. CoRR (2024)
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 (2024)
Houssem Sifaou, Osvaldo Simeone
Semi-Supervised Learning via Cross-Prediction-Powered Inference for Wireless Systems. CoRR (2024)
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 (2024)
Victor Croisfelt, Shashi Raj Pandey, Osvaldo Simeone, Petar Popovski
Batch Selection and Communication for Active Learning with Edge Labeling. ICC Workshops (2024)
Meiyi Zhu, Caili Guo, Chunyan Feng, Osvaldo Simeone
Uncertainty, Calibration, and Membership Inference Attacks: An Information-Theoretic Perspective. CoRR (2024)
Matteo Zecchin, Osvaldo Simeone
Localized Adaptive Risk Control. CoRR (2024)
Amirmohammad Farzaneh, Sangwoo Park, Osvaldo Simeone
Quantile Learn-Then-Test: Quantile-Based Risk Control for Hyperparameter Optimization. CoRR (2024)
Zihang Song, Prabodh Katti, Osvaldo Simeone, Bipin Rajendran
Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks. AICAS (2024)
Yuzhen Ke, Zoran Utkovski, Mehdi Heshmati, Osvaldo Simeone, Johannes Dommel, Slawomir Stanczak
Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck. CoRR (2024)
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 (2024)
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 (2024)
Haifeng Wen, Hong Xing, Osvaldo Simeone
Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs. CoRR (2024)
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) (2024)
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 (2024)
Jiayi Huang, Sangwoo Park, Osvaldo Simeone
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference. CoRR (2024)
Mingzhao Guo, Dongzhu Liu, Osvaldo Simeone, Dingzhu Wen
Low-Rank Gradient Compression with Error Feedback for MIMO Wireless Federated Learning. CoRR (2024)
Eslam Eldeeb, Houssem Sifaou, Osvaldo Simeone, Mohammad Shehab, Hirley Alves
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning for Digital Twins. CoRR (2024)
Yunchuan Zhang, Sangwoo Park, Osvaldo Simeone
Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search. CoRR (2024)
Sharu Theresa Jose, Osvaldo Simeone
Transfer Learning for Quantum Classifiers: An Information-Theoretic Generalization Analysis. ITW (2023)
Jiechen Chen, Sangwoo Park, Osvaldo Simeone
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks. CoRR (2023)
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. ICC Workshops (2023)
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) (2023)
Haifeng Wen, Hong Xing, Osvaldo Simeone
AirFL-Mem: Improving Communication-Learning Trade-Off by Long-Term Memory. CoRR (2023)
Jiechen Chen, Sangwoo Park, Osvaldo Simeone
SpikeCP: Delay-Adaptive Reliable Spiking Neural Networks via Conformal Prediction. CoRR (2023)
Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai Shitz
Calibrating AI Models for Few-Shot Demodulation VIA Conformal Prediction. ICASSP (2023)
Jiechen Chen, Nicolas Skatchkovsky, Osvaldo Simeone
Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference. IEEE Trans. Cogn. Commun. Netw. 9 (2) (2023)
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) (2023)
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)
Riccardo Marini, Sangwoo Park, Osvaldo Simeone, Chiara Buratti
Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks. ICC (2023)
Dongzhu Liu, Osvaldo Simeone
Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy. IEEE Trans. Wirel. Commun. 22 (5) (2023)
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) (2023)
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) (2023)
Jinu Gong, Osvaldo Simeone, Joonhyuk Kang
Compressed Particle-Based Federated Bayesian Learning and Unlearning. IEEE Commun. Lett. 27 (2) (2023)
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 (2023)
Prabodh Katti, Nicolas Skatchkovsky, Osvaldo Simeone, Bipin Rajendran, Bashir M. Al-Hashimi
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity. ISCAS (2023)
Hari Hara Suthan Chittoor, Osvaldo Simeone
Learning Quantum Entanglement Distillation With Noisy Classical Communications. ICASSP (2023)
Clement Ruah, Osvaldo Simeone, Bashir M. Al-Hashimi
Digital Twin-Based Multiple Access Optimization and Monitoring via Model-Driven Bayesian Learning. ICC (2023)
Ivana Nikoloska, Osvaldo Simeone
Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks. IEEE Trans. Wirel. Commun. 22 (1) (2023)
Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guangxu Zhu
Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. CoRR (2023)
Ivana Nikoloska, Osvaldo Simeone, Leonardo Banchi, Petar Velickovic
Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating. CoRR (2023)
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) (2023)
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 (2023)
Jiechen Chen, Nicolas Skatchkovsky, Osvaldo Simeone
Neuromorphic Integrated Sensing and Communications. IEEE Wirel. Commun. Lett. 12 (3) (2023)
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger
Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. CoRR (2023)
Jiayi Huang, Sangwoo Park, Osvaldo Simeone
Calibration-Aware Bayesian Learning. MLSP (2023)
Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guangxu Zhu
Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. GLOBECOM (2023)
Hari Hara Suthan Chittoor, Osvaldo Simeone
Quantum Machine Learning for Distributed Quantum Protocols with Local Operations and Noisy Classical Communications. Entropy 25 (2) (2023)
Luca Barbieri, Osvaldo Simeone, Monica Nicoli
Channel-Driven Decentralized Bayesian Federated Learning for Trustworthy Decision Making in D2D Networks. ICASSP (2023)
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 (2023)
Clement Ruah, Osvaldo Simeone, Jakob Hoydis, Bashir M. Al-Hashimi
Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimates. CoRR (2023)
Yunchuan Zhang, Sangwoo Park, Osvaldo Simeone
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction. CoRR (2023)
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) (2023)
Haifeng Wen, Hong Xing, Osvaldo Simeone
Convergence Analysis of Over-the-Air FL with Compression and Power Control via Clipping. GLOBECOM (2023)
Haifeng Wen, Hong Xing, Osvaldo Simeone
Convergence Analysis of Over-the-Air FL with Compression and Power Control via Clipping. CoRR (2023)
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) (2023)
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 (2023)
Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. CoRR (2023)
Matteo Zecchin, Kai Yu, Osvaldo Simeone
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models. CoRR (2023)
Victor Croisfelt Rodrigues, Shashi Raj Pandey, Osvaldo Simeone, Petar Popovski
Communication-Constrained Bayesian Active Knowledge Distillation. CoRR (2023)
Leonardo Banchi, Jason Luke Pereira, Sharu Theresa Jose, Osvaldo Simeone
Statistical Complexity of Quantum Learning. CoRR (2023)
Sangwoo Park, Osvaldo Simeone
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning. CoRR (2023)
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 (2023)
Prabodh Katti, Nicolas Skatchkovsky, Osvaldo Simeone, Bipin Rajendran, Bashir M. Al-Hashimi
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity. CoRR (2023)
Bipin Rajendran, Osvaldo Simeone, Bashir M. Al-Hashimi
Towards Efficient and Trustworthy AI Through Hardware-Algorithm-Communication Co-Design. CoRR (2023)
Matteo Zecchin, Sangwoo Park, Osvaldo Simeone
Forking Uncertainties: Reliable Prediction and Model Predictive Control with Sequence Models via Conformal Risk Control. CoRR (2023)
George J. Stamatakis, Osvaldo Simeone, Nikolaos Pappas
Optimizing Information Freshness Over a Channel that Wears Out. ACSSC (2023)
Jiayi Huang, Sangwoo Park, Osvaldo Simeone
Calibration-Aware Bayesian Learning. CoRR (2023)
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) (2023)
George J. Stamatakis, Osvaldo Simeone, Nikolaos Pappas
Optimizing Information Freshness over a Channel that Wears Out. CoRR (2023)
Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Petar Popovski, Shlomo Shamai
Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction. CoRR (2023)
Ivana Nikoloska, Osvaldo Simeone
Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization. IEEE Signal Process. Lett. 29 (2022)
Sharu Theresa Jose, Osvaldo Simeone, Giuseppe Durisi
Transfer Meta-Learning: Information- Theoretic Bounds and Information Meta-Risk Minimization. IEEE Trans. Inf. Theory 68 (1) (2022)
Wenbo Du, Tao Tan, Haijun Zhang, Xianbin Cao, Gang Yan, Osvaldo Simeone
Network Topology Inference based on Timing Meta-Data. CoRR (2022)
Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert
: Training Ensemble Models Under Model Misspecification and Outliers. CoRR (2022)
Clement Ruah, Osvaldo Simeone, Bashir M. Al-Hashimi
Digital Twin-Based Multiple Access Optimization and Monitoring via Model-Driven Bayesian Learning. CoRR (2022)
Hari Hara Suthan Chittoor, Osvaldo Simeone
Robust Distributed Bayesian Learning with Stragglers via Consensus Monte Carlo. GLOBECOM (2022)
Ivana Nikoloska, Osvaldo Simeone
Bayesian Active Meta-Learning for Black-Box Optimization. SPAWC (2022)
Sharu Theresa Jose, Osvaldo Simeone
Error Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis. CoRR (2022)
Roy Karasik, Osvaldo Simeone, Shlomo Shamai Shitz
Learning to Broadcast with Layered Division Multiplexing. ISIT (2022)
Dongzhu Liu, Osvaldo Simeone
Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers. IEEE J. Sel. Areas Commun. 40 (2) (2022)
Sharu Theresa Jose, Osvaldo Simeone
An Information-Theoretic Analysis of the Cost of Decentralization for Learning and Inference under Privacy Constraints. Entropy 24 (4) (2022)
Zareen Khan, Wei Jiang, Alexander M. Haimovich, Mark A. Govoni, Timothy Garner, Osvaldo Simeone
Fast Adaptation of Radar Detection via Online Meta-learning. IEEECONF (2022)
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 (2022)
Osvaldo Simeone
An Introduction to Quantum Machine Learning for Engineers. CoRR (2022)
Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
Bayesian continual learning via spiking neural networks. Frontiers Comput. Neurosci. 16 (2022)
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) (2022)
Yunchuan Zhang, Dongzhu Liu, Osvaldo Simeone
Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo. SPAWC (2022)
Jiechen Chen, Nicolas Skatchkovsky, Osvaldo Simeone
Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference. CoRR (2022)
Sangwoo Park, Osvaldo Simeone
Speeding up Training of Linear Predictors for Multi-Antenna Frequency-Selective Channels via Meta-Learning. Entropy 24 (10) (2022)
Clement Ruah, Osvaldo Simeone, Bashir M. Al-Hashimi
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Osvaldo Simeone