316 papersConference Papers

• [C.316] P. Bhattacharjee, O. Simeone, and R. Tandon, "Conformal Speculative Decoding," in Proc. Asilomar Conference on Signals, Systems, and Computers, Monterey, California, USA, 25-28 Oct. 2026.
• [C.315] P. Katti, H. Sifaou, S. Park, B. Rajendran, and O. Simeone, "On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization," in Proc. IEEE International Workshop on Signal Processing Systems (SiPS), Bordeaux, France, 1-4 Nov. 2026.
• [C.314] D. Wu, C. Ruah, J. Chen, B. Rajendran, and O. Simeone, "Neuromorphic Diffusion Language Models: Addressing Compute and Memory Bottlenecks via Sparsity and Block Denoising," in Proc. IEEE International Workshop on Signal Processing Systems (SiPS), Bordeaux, France, 1-4 Nov. 2026.
• [C.313] Z. Song, Q. Peng, P. Xiao, B. Rajendran, and O. Simeone, "CSI-Free Symbol Detection for Atomic MIMO Receivers via in-Context Learning," in Proc. IEEE PIMRC, Singapore, 1-4 Sep. 2026.
• [C.312] E. Pona, M. Kazemi, M. Hosseini, Y. Du, D. Watson, O. Simeone, and N. Paoletti, "Calibrate-Then-Delegate: Safety Monitoring with Risk and Budget Guarantees via Model Cascades," in Proc. Workshop on Safe AI, UAI 2026, Amsterdam, Netherlands, 21 Aug. 2026.
• [C.311] J. Chen, M. Polese, and O. Simeone, "Ensemble Signal Temporal Logic Learning for Interpretable Radio Access Network Monitoring," in Proc. IEEE SPAWC 2026, Athens, Greece, 6-9 Sep. 2026.
• [C.310] H. Wen, O. Simeone, and H. Xing, "Efficient Federated Conformal Prediction with Group-Conditional Guarantees," in Proc. UAI 2026, Amsterdam, the Netherlands, 17-21 Aug. 2026.
• [C.309] E. Park, S.-H. Park, M. Di Renzo, and O. Simeone, "Efficient Alternating Optimization for Hybrid Digital-Wave Beamforming in SIM-Assisted Cell-Free Massive MIMO," in Proc. IEEE PIMRC 2026, Singapore, 1-4 Sep. 2026.
• [C.308] J. Huang, A. Farzaneh, and O. Simeone, "Optimized Certainty Equivalent Risk-Controlling Prediction Sets," in Proc. EUSIPCO 2026, Bruges, Belgium, 31 Aug.-4 Sep. 2026.
• [C.307] G. Zhang, Y. Cai, G. Yu, and O. Simeone, "Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts," in Proc. ICML 2026, July 6-11, 2026, Seoul, South Korea.
• [C.306] A. Farzaneh, S. D'Oro, and O. Simeone, "Should I Have Expressed a Different Intent? Counterfactual Generation for LLM-Based Autonomous Control," in Proc. ICML 2026, July 6-11, 2026, Seoul, South Korea.
• [C.305] I. Nikoloska, H. Joudeh, R. van Sloun, and O. Simeone, "Dynamic Estimation Loss Control in Variational Quantum Sensing via Online Conformal Inference," in Proc. IEEE ICASSP 2026, May 4-8, 2026, Barcelona, Spain.
• [C.304] B. Wang, M. Zecchin, and O. Simeone, "Distributed Dynamic Associative Memory via Online Convex Optimization," in Proc. IEEE ICASSP 2026, May 4-8, 2026, Barcelona, Spain.
• [C.303] P. Bhattacharjee, F. Tian, M. Zhong, G. Zhang, O. Simeone, and R. Tandon, "Conformal Sparsification for Bandwidth-Efficient Edge-Cloud Speculative Decoding," in Proc. AI4NextG@NeurIPS'25, Dec. 6, 2025, San Diego, CA, USA.
• [C.302] Y. Zhang and O. Simeone, "Managing Conflicts Among Black-Box RAN Apps via Multi-Fidelity Game-Theoretic Optimization," in Proc. AI4NextG@NeurIPS'25, Dec. 6, 2025, San Diego, CA, USA.
• [C.301] Y. Gusakov, O. Simeone, T. Routtenberg, and N. Shlezinger, "Single-Step Online Adaptation of Modular Bayesian Deep Receivers with Streaming Data," in Proc. AI4NextG@NeurIPS'25, Dec. 6, 2025, San Diego, CA, USA.
• [C.300] S. Park, M. Zecchin, and O. Simeone, "Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees," in Proc. NeurIPS 2025, Dec. 2-7, 2025, San Diego, CA, USA. (spotlight paper, top 3.1%).
• [C.299] A. Farzaneh and O. Simeone, "Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs," in Proc. NeurIPS 2025, Dec. 2-7, 2025, San Diego, CA, USA.
• [C.298] E. Park, S.-H. Park, M. Di Renzo, and O. Simeone, "Hybrid Digital-Wave Beamforming for Cell-Free Massive MIMO Systems with Fronthaul Compression," in Proc. IEEE PIMRC, Sep. 1-4, 2025, Istanbul, Türkiye.
• [C.297] X. Su, Q. Hou, R. He, and O. Simeone, "Conformal Robust Beamforming via Generative Channel Models," in Proc. IEEE SPAWC, July 7-10, 2025, Surrey, UK.
• [C.296] A. Farzaneh and O. Simeone, "Ensuring Reliability via Hyperparameter Selection: Review and Advances," in Proc. EUSIPCO 2025, 8-12 Sept. 2025, Palermo, Italy.
• [C.295] Q. Hou, S. Park, M. Zecchin, Y. Cai, G. Yu, and O. Simeone, "Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading," in Proc. ProbNum 2025, Sept. 1-3, 2025, Nice, France.
• [C.294] M. Zecchin, S. Park, and O. Simeone, "Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection," in Proc. ICML, 13-19 July, 2025, Vancouver, Canada (spotlight paper, top 2.6%).
• [C.293] H. Wen, H. Xing, and O. Simeone, "Distributed Conformal Prediction via Message Passing," in Proc. ICML, 13-19 July, 2025, Vancouver, Canada.
• [C.292] U. K. Ganesan, G. Durisi, M. Zecchin, P. Popovski and O. Simeone, "Online Conformal Compression for Zero-Delay Communication with Distortion Guarantees," in Proc. IEEE ISIT, Learn to Compress & Compress to Learn Workshop, 22-27 June, 2025, Ann Arbor, MI, USA (Best paper award).
• [C.291] M. Zecchin, F. Hellström, S. Park, S. Shamai (Shitz), O. Simeone, "Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift," in Proc. IEEE ISIT, 22-27 June, 2025, Ann Arbor, MI, USA.
• [C.290] J. Huang, S. Park, N. Paoletti, and O. Simeone, "Statistically Valid Information Bottleneck via Multiple Hypothesis Testing," in Proc. IEEE ISIT, 22-27 June, 2025, Ann Arbor, MI, USA.
• [C.289] J. Huang, S. Park, N. Paoletti, and O. Simeone, "Distilling Calibration via Conformalized Credal Inference," in Proc. IJCNN, 30 June-5 July, 2025, Rome, Italy.
• [C.288] F. Binucci, O. Simeone, and P. Banelli, "Resource Management for Edge-Assisted Learning with Deterministic Reliability Constraints," in Proc. WiOpt, 26-29 May, 2025, Linköping, Sweden.
• [C.287] J. Chen, D. Wu, B. Rajendran, H. V. Poor, and O. Simeone, "Neuromorphic Wireless Semantic Communication With Multi-Level Spikes," in Proc. IEEE ICMLCN, 26-29 May 2025, Barcelona, Spain.
• [C.286] Z. Song, M. Zecchin, B. Rajendran, and O. Simeone, "In-Context Learned Equalization in Cell-Free Massive MIMO via State-Space Models," in Proc. IEEE ICMLCN, 26-29 May 2025, Barcelona, Spain.
• [C.285] B. Zhang, D. Liu, O. Simeone, G. Wang, D. Pezaros, and G. Zhu, "Personalizing Low-rank Bayesian Neural Networks Via Federated Learning," in Proc. AISTATS, 3-5 May, 2025, Mai Khao, Thailand.
• [C.284] H. Wen, N. Michelusi, O. Simeone, and H. Xing, "NCAirFL: CSI-Free Over-the-Air Federated Learning Based on Non-Coherent Detection," in Proc. IEEE ICC, 8-12 June 2025, Montreal, Canada (Best paper award).
• [C.283] Y. Gusakov, O. Simeone, T. Routtenberg, and N. Shlezinger, "Rapid Online Bayesian Learning for Deep Receivers," in Proc. IEEE ICASSP 2025, Apr. 6-11, 2025, Hyderabad, India.
• [C.282] A. Farzaneh and O. Simeone, "Statistically Valid Information Bottleneck via Multiple Hypothesis Testing," presented at Workshop on Statistical Frontiers in LLMs and Foundation Models at NeurIPS 2024, Dec. 14, 2024, Vancouver, Canada.
• [C.281] M. Zecchin and O. Simeone, "Localized Adaptive Risk Control," in Proc. NeurIPS 2024, Dec. 9-15, 2024, Vancouver, Canada.
• [C.280] Y. Zhang, S. Park, and O. Simeone, "Transferable Multi-Fidelity Bayesian Optimization for Radio Resource Management," in Proc. IEEE SPAWC, 10-13 September 2024, Lucca, Italy.
• [C.279] J. Chen, S. Park, P. Popovski, H. V. Poor, and O. Simeone, "Neuromorphic Semantic Communications with Wake-Up Radios," in Proc. IEEE SPAWC, 10-13 September 2024, Lucca, Italy.
• [C.278] Z. Song, B. Rajendran and O. Simeone, "Neuromorphic In-Context Learning for Energy-Efficient MIMO Symbol Detection," in Proc. IEEE SPAWC, 10-13 September 2024, Lucca, Italy.
• [C.277] M. Zecchin, K. Yu, and O. Simeone, "Cell-Free Multi-User MIMO Equalization via In-Context Learning," in Proc. IEEE SPAWC, 10-13 September 2024, Lucca, Italy.
• [C.276] W. A. Martins et al., "Satellite Adaptive Onboard Beamforming Using Neuromorphic Processors," in Proc. IEEE PIMRC 2024, 2-5 September 2024, Valencia, Spain.
• [C.275] P. Georgiou, S. T. Jose, O. Simeone, "Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis," in Proc. IEEE ISIT, 7-12 July 2024, Athens, Greece.
• [C.274] K. M. Cohen, S. Park, O. Simeone, and S. Shamai, "Cross-Validation Conformal Risk Control," in Proc. IEEE ISIT, 7-12 July 2024, Athens, Greece.
• [C.273] M. Zecchin, S. Park, O. Simeone, F. Hellström, "Generalization and Informativeness of Conformal Prediction," in Proc. IEEE ISIT, 7-12 July 2024, Athens, Greece.
• [C.272] M. Zecchin, K. Yu, and O. Simeone, "In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models," in Proc. IEEE ICC, 9-13 June 2024, Denver, CO, USA.
• [C.271] V. Croisfelt, S. Raj Pandey, O. Simeone, and P. Popovski, "Batch Selection and Communication for Active Learning with Edge Labelling," in Proc. IEEE ICC, 9-13 June 2024, Denver, CO, USA.
• [C.270] Z. Song, P. Katti, B. Rajendran, and O. Simeone, "Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks," in Proc. IEEE AICAS, Abu Dhabi, UAE, April 22-25, 2024.
• [C.269] H. Wen, H. Xing, and O. Simeone, "AirFL-Mem: Improving Communication-Learning Trade-Off by Long-Term Memory," in Proc. IEEE WCNC, 21-24 April, 2024, Dubai, UAE.
• [C.268] H. Wen, H. Xing, and O. Simeone, "Convergence Analysis of Over-the-Air FL with Compression and Power Control via Clipping," in Proc. IEEE GLOBECOM 2023, 4-8 Dec. 2023, Kuala Lumpur, Malaysia.
• [C.267] B. Zhang, D. Liu, O. Simeone, and G. Zhu, "Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics," in Proc. IEEE GLOBECOM 2023, 4-8 Dec. 2023, Kuala Lumpur, Malaysia.
• [C.266] G. Stamatakis, O. Simeone, and N. Pappas, "Optimizing Information Freshness over a Channel that Wears Out," in Proc. Asilomar Conference, 29 Oct.-1 Nov. 2023, Monterey, CA, USA.
• [C.265] J. Huang, S. Park, and O. Simeone, "Calibration-Aware Bayesian Learning," in Proc. IEEE MLSP 2023, 17-20 Sept. 2023, Rome, Italy.
• [C.264] T. Raviv, S. Park, O. Simeone, and N. Shlezinger, "Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers," in Proc. IEEE ICC, 28 May - 1 June 2023, Rome, Italy.
• [C.263] H. H. S. Chittoor, O. Simeone, L. Banchi, and S. Pirandola, "Online Convex Optimization of Programmable Quantum Computers to Simulate Time-Varying Quantum Channels," IEEE ITW, Saint-Malo, France, 23-28 April 2023.
• [C.262] S. T. Jose and O. Simeone, "Transfer Learning for Quantum Classifiers: An Information-Theoretic Generalization Analysis," IEEE ITW, Saint-Malo, France, 23-28 April 2023.
• [C.261] H. H. S. Chittoor and O. Simeone, "Learning Quantum Entanglement Distillation with Noisy Classical Communications," IEEE ICASSP, Rhodes Island, Greece, 4-10 June, 2023.
• [C.260] K. Cohen, S. Park, O. Simeone, and S. Shamai (Shitz), "Calibrating AI Models for Few-Shot Demodulation via Conformal Prediction," IEEE ICASSP, Rhodes Island, Greece, 4-10 June, 2023.
• [C.259] L. Barbieri, M. Nicoli, and O. Simeone, "Channel-driven Decentralized Bayesian Federated Learning for Trustworthy Decision Making in D2D Networks," IEEE ICASSP, Rhodes Island, Greece, 4-10 June, 2023.
• [C.258] P. Katti, N. Skatchkovsky, O. Simeone, B. Rajendran, and B. Al-Hashimi, "Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity," IEEE ISCAS, Monterey, California, USA, May 21-25, 2023.
• [C.257] C. Ruah, O. Simeone and B. Al-Hashimi, "Digital Twin-Based Multiple Access Optimization and Monitoring via Model-Driven Bayesian Learning," in Proc. IEEE ICC, 28 May - 1 June 2023, Rome, Italy.
• [C.256] R. Marini, S. Park, O. Simeone and C. Buratti, "Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks," in Proc. IEEE ICC, 28 May - 1 June 2023, Rome, Italy.
• [C.255] S. Park, K. Cohen, and O. Simeone, "Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction," in NeurIPS 2022 Workshop on Meta-Learning, 28 Nov.-9 Dec., New Orleans, USA.
• [C.254] I. Nikoloska and O. Simeone, "Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines," in QTML, 8-11 November 2022, Naples, Italy.
• [C.253] S. T. Jose and O. Simeone, "Error Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis," in QTML, 8-11 November 2022, Naples, Italy.
• [C.252] Z. Khan, A. Haimovich, W. Jiang, M. Govoni, T. Garner, O. Simeone, "Fast Adaptation of Radar Detection via Online Meta-Learning," in Proc. Asilomar Conference, 30 Oct.-2 Nov., Monterey, CA, USA.
• [C.251] H. H. S. Chittoor and O. Simeone, "Robust Distributed Bayesian Learning with Stragglers via Consensus Monte Carlo," in Proc. GLOBECOM 2022, 4-8 December 2022, Rio de Janeiro, Brazil.
• [C.250] F. Ortiz, Eva Lagunas, N. Skatchkovsky, O. Simeone, B. Rajendran, T. Navarro, and S. Chatzinotas, "Towards the Application of Neuromorphic Computing to Satellite Communications," in Proc. ICSSC, Stresa, Italy, Oct. 18-21, 2022.
• [C.249] I. Nikoloska and O. Simeone, "Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks with Born Machines," in Proc. IEEE MLSP, Xi'an, China, Aug. 22-25, 2022.
• [C.248] Y. Zhang, D. Liu, and O. Simeone, "Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo," in Proc. IEEE SPAWC, Oulu, Finland, July 4-6, 2022.
• [C.247] I. Nikoloska and O. Simeone, "Bayesian Active Meta-Learning for Black-Box Optimization," in Proc. IEEE SPAWC, Oulu, Finland, July 4-6, 2022.
• [C.246] F. Zhu, J. Zhang, O. Simeone, and X. Wang, "Adaptive Worker Grouping for Communication-Efficient and Straggler-Tolerant Distributed SGD," in Proc. IEEE ISIT, June 26-July 1, Espoo, Finland.
• [C.245] R. Karasik, O. Simeone, and S. Shamai, "Learning to Broadcast With Layered Division Multiplexing," in Proc. IEEE ISIT, June 26-July 1, Espoo, Finland.
• [C.244] D. Yu, S.-H. Park, O. Simeone, and S. Shamai (Shitz), "Robust Design of Rate-Splitting Multiple Access With Imperfect CSI for Cell-Free MIMO Systems," in Proc. IEEE ICC, May 16-20, Seoul, South Korea, 2022.
• [C.243] J. Gong, O. Simeone, and J. Kang, "Forget-SVGD: Particle-Based Bayesian Federated Unlearning," in Proc. IEEE DSLW, Singapore, May 22-23, 2022.
• [C.242] S. Park and O. Simeone, "Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation," in Proc. IEEE ICASSP, 22-27 May, 2022, Singapore.
• [C.241] S. T. Jose, S. Park, and O. Simeone, "Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-Learning," in Proc. AISTATS, Mar. 28-30, 2022, virtual.
• [C.240] N. Skatchkovsky, H. Jang, and O. Simeone, "Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck," in Proc. NeurIPS, Dec. 6-14, 2021, virtual.
• [C.239] W. Jiang, A. Haimovich, M. Govoni, T. Garner, and O. Simeone, "Fast Data-Driven Adaptation of Radar Detection via Meta-Learning," in Proc. Asilomar Conf., Nov. 2-5, 2021, Monterey, CA, USA.
• [C.238] K. Cohen, S. Park, O. Simeone, and S. Shamai (Shitz), "Learning to Learn to Demodulate with Uncertainty Quantification via Bayesian Meta-Learning," in Proc. ITG WSA, 8-10 Nov., 2021, France.
• [C.237] S. T. Jose, and O. Simeone, "A unified PAC-Bayesian framework for machine unlearning via information risk minimization," in Proc. IEEE MLSP, 25-28 Oct., 2021, Gold Coast, Australia.
• [C.236] Y. Zhang, S. T. Jose, and O. Simeone, "Transfer Bayesian meta-learning via weighted free energy minimization," in Proc. IEEE MLSP, 25-28 Oct., 2021, Gold Coast, Australia.
• [C.235] I. Nikoloska and O. Simeone, "Fast power control adaptation via meta-learning for random edge graph neural networks," in Proc. IEEE SPAWC, 27-30 Sept, 2021, Lucca, Italy.
• [C.234] Y. Liu and O. Simeone, "HyperRNN: Deep learning-aided downlink CSI acquisition via partial channel reciprocity in FDD massive MIMO," in Proc. IEEE SPAWC, 27-30 Sept, 2021, Lucca, Italy.
• [C.233] J. Gong, O. Simeone, and J. Kang, "Bayesian variational federated learning and unlearning in decentralized networks," in Proc. IEEE SPAWC, 27-30 Sept, 2021, Lucca, Italy.
• [C.232] S. T. Jose and O. Simeone, "A unified PAC-Bayesian framework for machine unlearning via information risk minimization," presented at the ICML Workshop on IT Methods, virtual, 18-24 July 2021.
• [C.231] S. T. Jose and O. Simeone, "Information-Theoretic Bounds on Transfer Generalization Gap based on the Jensen-Shannon Divergence," in Proc. EUSIPCO, 23-27 August, 2021, Dublin, Ireland.
• [C.230] A. Rezazadeh, S. T. Jose, O. Simeone, and G. Durisi, "Conditional Mutual Information-Based Generalization Bound for Meta Learning," in Proc. IEEE ISIT, 12-20 July, 2021, Melbourne, Australia.
• [C.229] S. T. Jose and O. Simeone, "An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning," in Proc. IEEE ISIT, 12-20 July, 2021, Melbourne, Australia.
• [C.228] R. Karasik, O. Simeone, M. Di Renzo, and S. Shamai, "Single-RF Multi-User Communication Through Reconfigurable Intelligent Surfaces: An Information-Theoretic Analysis," in Proc. IEEE ISIT, 12-20 July, 2021, Melbourne, Australia.
• [C.227] T. Raviv, S. Park, N. Shlezinger, O. Simeone, Y. Eldar, and J. Kang, "Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels," in Proc. IEEE ICC, 14-23 June, 2021, Montreal, Canada.
• [C.226] N. Skatchkovsky, H. Jang, and O. Simeone, "BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning," in Proc. IEEE DSLW, 6-11 June, 2021, Toronto, Canada.
• [C.225] B. Rosenfeld, O. Simeone, and B. Rajendran, "Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning," in Proc. IEEE DSLW, 6-11 June, 2021, Toronto, Canada.
• [C.224] H. Jang and O. Simeone, "Multi-Sample Online Learning For Spiking Neural Networks Based on Generalized Expectation Maximization," in Proc. IEEE ICASSP, 6-11 June, 2021, Toronto, Canada.
• [C.223] R. G. Pacheco, R. S. Couto, and O. Simeone, "Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks," in Proc. IEEE ICC, 14-23 June, 2021, Montreal, Canada.
• [C.222] N. Skatchkovsky, H. Jang, and O. Simeone, "End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence," in Proc. Asilomar Conf., Nov. 1-5, 2020, Monterey, CA, USA.
• [C.221] S. T. Jose and O. Simeone, "Address-Event Variable-Length Compression for Time-Encoded Data," in Proc. IEEE ISITA, Oct. 24-27, 2020, Kapolei, Hawaii, USA.
• [C.220] H. Jang, N. Skatchkovsky, and O. Simeone, "VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits," in Proc. ICPR, 15 Jan., 2020, Milan, Italy.
• [C.219] S. Park, O. Simeone, and J. Kang, "End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning," in Proc. IEEE SPAWC, 26-29 May, 2020, Atlanta, USA.
• [C.218] R. Kassab, O. Simeone, and P. Popovski, "Fog-Based Detection for Random-Access IoT Networks with Per-Measurement Preambles," in Proc. IEEE SPAWC, 26-29 May, 2020, Atlanta, USA.
• [C.217] D. Yu, S.-H. Park, O. Simeone, and S. Shamai (Shitz), "Optimizing Over-the-Air Computation in IRS-Aided C-RAN Systems," in Proc. IEEE SPAWC, 26-29 May, 2020, Atlanta, USA.
• [C.216] R. Karasik, O. Simeone, M. Di Renzo, and S. Shamai, "Beyond Max-SNR: Joint Encoding for Reconfigurable Intelligent Surfaces," in Proc. IEEE ISIT, 21-26 June, 2020, Los Angeles, USA.
• [C.215] K. Li, M. Tao, J. Zhang, and O. Simeone, "Multi-Cell Mobile Edge Coded Computing," in Proc. IEEE ISIT, 21-26 June, 2020, Los Angeles, USA.
• [C.214] J. Shi, C. Ling, O. Simeone, and J. Kliewer, "Coded Computation Against Straggling Channel Decoders in the Cloud for Gaussian Channels," in Proc. IEEE ISIT, 21-26 June, 2020, Los Angeles, USA.
• [C.213] R. Kassab, O. Simeone, A. Munari, and F. Clazzer, "Space Diversity-Based Grant-Free Random Access for Critical and Non-Critical Services," in Proc. IEEE ICC, Dublin, Ireland, Jun. 7-11, 2020.
• [C.212] J. Kim, D. Yu, S.-H. Park, O. Simeone, and S. Shamai, "Inter-Tenant Cooperative Reception for C-RAN Systems With Spectrum Pooling," in Proc. IEEE ICC, Dublin, Ireland, Jun. 7-11, 2020.
• [C.211] O. Simeone, S. Park, and J. Kang, "From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems," in Proc. 6G Wireless Summit, Levi, Finland, Mar. 17-20, 2020.
• [C.210] A. Munari, F. Clazzer, O. Simeone, and Z. Utkovski, "Grant-Free Access for IoT in Beyond-5G Systems," in Proc. 6G Wireless Summit, Levi, Finland, Mar. 17-20, 2020.
• [C.209] N. Skatchkovsky, H. Jang, and O. Simeone, "Federated Learning of Spiking Neural Networks for Low-Power Edge Intelligence," in Proc. IEEE ICASSP, Barcelona, Spain, May 4-8, 2020.
• [C.208] J. Dommel, Z. Utkovski, S. Stanczak, and O. Simeone, "Joint Source-Channel Coding and Bayesian Message Passing Detection for Grant-Free Radio Access in IoT," in Proc. IEEE ICASSP, Barcelona, Spain, May 4-8, 2020.
• [C.207] J. Ahn, O. Simeone, and J. Kang, "Cooperative Learning via Federated Distillation Over Fading Channels," in Proc. IEEE ICASSP, Barcelona, Spain, May 4-8, 2020.
• [C.206] S. Park, O. Simeone, and J. Kang, "Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels," in Proc. IEEE ICASSP, Barcelona, Spain, May 4-8, 2020.
• [C.205] J. Zhang, O. Simeone, Z. Cvetkovic, E. Abela, and M. Richardson, "ITENE: Intrinsic Transfer Entropy Neural Estimator," Proc. Int. Zurich Seminar, Zurich, Switzerland, Feb. 26-28, 2020.
• [C.204] E. Lampiris, J. Zhang, O. Simeone, and P. Elia, "Fundamental limits of wireless caching under uneven-capacity channels," Proc. Int. Zurich Seminar, Feb. 26-28, 2020.
• [C.203] W. Jang, A. Haimovich, and O. Simeone, "End-to-end learning of waveform generation and detection for Radar systems," Proc. Asilomar Conference, Nov. 3-6, 2019.
• [C.202] A. Mostaani, O. Simeone, S. Chatzinotas, and B. Ottersten, "Learning-based Physical Layer Communications for Multiagent Collaboration," Proc. IEEE PIMRC, Istanbul, Turkey, Sept. 8-11, 2019.
• [C.201] S. Ha, J. Zhang, and O. Simeone, "Wireless Map-Reduce Distributed Computing with Full-Duplex Radios and Imperfect CSI," Proc. IEEE SPAWC, 2-5 July 2019, Cannes, France.
• [C.200] B. Rosenfeld, O. Simeone, and B. Rajendran, "Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients," Proc. IEEE SPAWC, 2-5 July 2019, Cannes, France.
• [C.199] S. Park, H. Jang, and O. Simeone, "Learning how to Demodulate from Few Pilots via Meta-Learning," Proc. IEEE SPAWC, 2-5 July 2019, Cannes, France.
• [C.198] S. P. Shariatpanahi, J. Zhang, O. Simeone, B. H. Khalaj, and M.-A. Maddah-Ali, "Cloud-Aided Interference Management with Cache-Enabled Edge Nodes and Users," Proc. IEEE ISIT, 7-12 July 2019, Paris, France.
• [C.197] R. Karasik, O. Simeone, and S. Shamai (Shitz), "Latency Limits for Content Delivery in a Fog-RAN with D2D Communication," Proc. IEEE ISIT, 7-12 July, 2019, Paris, France.
• [C.196] S. Ha, J. Zhang, O. Simeone, and J. Kang, "Coded Federated Computing in Wireless Networks with Straggling Devices and Imperfect CSI," in Proc. IEEE ISIT, 7-12 July, 2019, Paris, France.
• [C.195] M. Aliasgari, O. Simeone, and J. Kliewer, "Distributed and Private Coded Matrix Computation with Flexible Communication Load," in Proc. IEEE ISIT, 7-12 July, 2019, Paris, France.
• [C.194] J. Zhang, and O. Simeone, "Improved Latency-Communication Trade-Off for Map-Shuffle-Reduce Systems with Stragglers," in Proc. IEEE ICASSP, 12-17 May, 2019, Brighton, UK.
• [C.193] H. Jang, and O. Simeone, "Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing," in Proc. IEEE ICASSP, 12-17 May, 2019, Brighton, UK.
• [C.192] N. Jiang, Y. Deng, O. Simeone, and A. Nallanathan, "Cooperative Deep Reinforcement Learning for Multiple Groups NB-IoT Network Optimization," in Proc. IEEE ICASSP, 12-17 May, 2019, Brighton, UK.
• [C.191] P. Popovski and O. Simeone, "Start Making Sense: Semantic Plane Filtering and Control for Post-5G Connectivity," in 6G Wireless Summit, Levi, Mar. 24-26, 2019.
• [C.190] A. Dong, O. Simeone, and A. Haimovich, "Sparse Dictionary Learning and Per-Source Filtering for Blind Radio Source Separation," in Proc. CISS, Baltimore, US, Mar. 20-22, 2019.
• [C.189-1] R. Kassab, O. Simeone, and P. Popovski, "Coexistence of URLLC and eMBB Services in the C-RAN Uplink: An Information-Theoretic Study," in Proc. IEEE Globecom 2018, Abu Dhabi, UAE, Dec. 9-13, 2018.
• [C.188] M. Zeide, O. Simeone, and S. Shamai (Shitz), "Confidential Communication in C-RAN Systems with Infrastructure Sharing," in Proc. ICSEE 2018, Eilat, Israel, Dec. 12-14, 2018.
• [C.187] J. Zhang, and O. Simeone, "Cloud-Edge Non-Orthogonal Transmission for Fog Networks with Delayed CSI at the Cloud," in Proc. IEEE ITW, Guangzhou, China, Nov. 25-29, 2018.
• [C.186] R. Kassab, O. Simeone, and P. Popovski, "Coexistence of URLLC and eMBB Services in the C-RAN Uplink," in Proc. IEEE GLOBECOM, Abu Dhabi, UAE, Dec. 9-13, 2018.
• [C.185] A. Bagheri, O. Simeone, and B. Rajendran, "Adversarial Training for Probabilistic Spiking Neural Networks," in Proc. IEEE SPAWC, Kalamata, Greece, June 25-28, 2018.
• [C.184] S.-H. Park, O. Simeone, and S. Shamai, "Optimizing Spectrum Pooling for Multi-Tenant C-RAN Under Privacy Constraints," in Proc. IEEE SPAWC, Kalamata, Greece, June 25-28, 2018.
• [C.183] S.-H. Park, O. Simeone, Y. Eldar, and E. Erkip, "Optimizing Pilots and Analog Processing for Channel Estimation in Cell-Free Massive MIMO With One-Bit ADCs," in Proc. IEEE SPAWC, Kalamata, Greece, June 25-28, 2018.
• [C.182] M. Aliasgari, J. Kliewer, and O. Simeone, "Coded Computation Against Straggling Decoders for Network Function Virtualization," in Proc. IEEE ISIT, Vail, Colorado, June 17-22, 2018.
• [C.181] J. Zhang, and O. Simeone, "Fundamental Limits of Cloud and Cache-Aided Interference Management with Multi-Antenna Base Stations," in Proc. IEEE ISIT, Vail, Colorado, June 17-22, 2018.
• [C.180] R. Karasik, O. Simeone, and S. Shamai (Shitz), "Fundamental Latency Limits for D2D-Aided Content Delivery in Fog Wireless Networks," in Proc. IEEE ISIT, Vail, Colorado, June 17-22, 2018.
• [C.179] R. Devassy, G. Durisi, G. C. Ferrante, O. Simeone, and E. Uysal-Biyikoglu, "Delay and Peak-Age Violation Probability in Short-Packet Transmissions," in Proc. IEEE ISIT, Vail, Colorado, June 17-22, 2018.
• [C.178] A. Bagheri, O. Simeone, and B. Rajendran, "Training Probabilistic Spiking Neural Networks with First-to-Spike Decoding," in Proc. IEEE ICASSP 2018, Calgary, Canada, Apr. 15-20, 2018.
• [C.177] I. Stanojev and O. Simeone, "On the Interplay Between Edge Caching and HARQ in Fog-RAN," in Proc. CISS, Princeton, NJ, Mar. 21-23, 2018.
• [C.176] W.-T. Chang, R. Tandon, and O. Simeone, "Cache-Aided Content Delivery in Fog-RAN Systems," in Proc. Asilomar Conference, Monterey, CA, Oct. 29-Nov. 1, 2017.
• [C.175] J. Goseling, O. Simeone and P. Popovski, "Delivery Latency Trade-Offs of Heterogeneous Contents in Fog Radio Access Networks," in Proc. IEEE Globecom 2017, Singapore, Dec. 4-8, 2017.
• [C.174] S.-H. Park, O. Simeone and S. Shamai (Shitz), "Uplink Sum-Rate Analysis of C-RAN with Interconnected Radio Units," in Proc. IEEE ITW, Kaohsiung, Taiwan, Nov. 6-10, 2017.
• [C.173] S.-H. Park, O. Simeone and S. Shamai (Shitz), "Fronthaul Quantization as Artificial Noise for Enhanced Secret Communication in C-RAN," in Proc. IEEE SPAWC 2017, Sapporo, Japan, Jul. 3-6, 2017.
• [C.172] S.-H. Park, W. Lee, O. Simeone and S. Shamai (Shitz), "Coded Multicast Fronthauling and Edge Caching for Multi-Connectivity Transmission in Fog Radio Access Networks," in Proc. IEEE SPAWC 2017, Sapporo, Japan.
• [C.171] J. Kim, S.-H. Park, O. Simeone, I. Lee, and S. Shamai (Shitz), "Joint Design of Digital and Analog Processing for Downlink C-RAN with Large-Scale Antenna Arrays," in Proc. IEEE SPAWC 2017, Sapporo, Japan.
• [C.170] M. Azimi, O. Simeone, A. Sengupta, and R. Tandon, "Online Edge Caching in Fog-Aided Wireless Networks," in Proc. IEEE ISIT, Aachen, Germany, June 25-30, 2017.
• [C.169-1] Various earlier conference papers from 2002-2016 are available on the previous site.
• [C.169] J. Koh, O. Simeone, R. Tandon and J. Kang, "Cloud-Aided Edge Caching with Wireless Multicast Fronthauling in Fog Radio Access Networks," in Proc. IEEE WCNC 2017, San Francisco, CA, Mar. 19-22, 2017.
• [C.168] J. Kang, O. Simeone, J. Kang and S. Shamai, "Control-Data Separation across Edge and Cloud for Uplink Communications in C-RAN," in Proc. IEEE WCNC 2017, San Francisco, CA.
• [C.167] A. Sengupta, R. Tandon and O. Simeone, "Pipelined Fronthaul-Edge Content Delivery in Fog Radio Access Networks," in Proc. IEEE GLOBECOM 2016, Washington, DC.
• [C.166] J. Zhao, O. Simeone, D. Gunduz and D. Gomez-Barquero, "Non-Orthogonal Unicast and Broadcast Transmission via Joint Beamforming and LDM in Cellular Networks," in Proc. IEEE GLOBECOM 2016.
• [C.165] M. Azimi, O. Simeone and R. Tandon, "Fundamental Limits on Latency in Small-Cell Caching Systems," in Proc. IEEE GLOBECOM 2016.
• [C.164] M. Varasteh, B. Rassouli, O. Simeone and D. Gunduz, "Zero-Delay Joint Source-Channel Coding with a 1-Bit ADC Front End and Receiver Side Information," in Proc. IEEE ITW 2016, Cambridge, UK.
• [C.163] A. Sengupta, R. Tandon and O. Simeone, "Cloud RAN and Edge Caching: Fundamental Performance Trade-Offs," in Proc. IEEE SPAWC 2016, Edinburgh, UK.
• [C.162] S.-H. Park, O. Simeone and S. Shamai (Shitz), "Joint Cloud and Edge Processing for Latency Minimization in Fog Radio Access Networks," in Proc. IEEE SPAWC 2016, Edinburgh, UK.
• [C.161] R. Tandon and O. Simeone, "Cloud-Aided Wireless Networks with Edge Caching: Fundamental Latency Trade-Offs in Fog Radio Access Networks," in Proc. IEEE ISIT 2016, Barcelona, Spain.
• [C.160] S.-H. Park, O. Simeone and S. Shamai (Shitz), "Joint Optimization of Cloud and Edge Processing for Fog Radio Access Networks," in Proc. IEEE ISIT 2016, Barcelona, Spain.
• [C.159] M. Varasteh, O. Simeone and D. Gündüz, "Joint Source-Channel Coding with One-Bit ADC Front End," in Proc. IEEE ISIT 2016, Barcelona, Spain.
• [C.158] W. Lee, O. Simeone, J. Kang and S. Shamai (Shitz), "Multivariate Fronthaul Quantization for C-RAN Downlink," in Proc. IEEE ICC, Kuala Lumpur, Malaysia, May 2016.
• [C.157] A. Sengupta, R. Tandon and O. Simeone, "Cache Aided Wireless Networks: Tradeoffs between Storage and Latency," in Proc. CISS, Princeton, NJ, Mar. 2016.
• [C.156] A. Najdi, A. Bagheri, and O. Simeone, "Joint Uplink/Downlink and Offloading Optimization for Mobile Cloud Computing with Limited Backhaul," in Proc. CISS, Princeton, NJ, Mar. 2016.
• [C.155] M. Azimi, O. Simeone, O. Sahin and P. Popovski, "Ultra-reliable cloud mobile computing with service composition and superposition coding," in Proc. CISS, Princeton, NJ, Mar. 2016.
• [C.154] S. Khalili and O. Simeone, "Control-Data Separation in Cloud RAN: The Case of Uplink HARQ," in Proc. IEEE ITA, San Diego, CA, Jan.-Feb. 2016.
• [C.152] J. Kang, O. Simeone, J. Kang and S. Shamai (Shitz), "Joint Precoding and Fronthaul Optimization for C-RANs in Ergodic Fading Channels," in Proc. IEEE ICC 2015, London, UK.
• [C.151] S. Jeong, O. Simeone, A. Haimovich and J. Kang, "Optimization of Multistatic Cloud Radar with Multiple-Access Wireless Backhaul," in Proc. IEEE International Radar Conference, Arlington, USA, May 2015.
• [C.150] Y. Liu, O. Simeone, A. Haimovich and W. Su, "Modulation Classification for MIMO-OFDM Signals via Gibbs Sampling," in Proc. CISS 2015, Baltimore, USA.
• [C.149] A. Fouladgar, O. Simeone, O. Sahin, P. Popovski, and S. Shamai (Shitz), "Joint Interference Alignment and Bi-Directional Scheduling for MIMO Two-Way Multi-Link Networks," in Proc. IEEE ICC 2015, London, UK.
• [C.148] S.-H. Park, O. Simeone, O. Sahin and S. Shamai (Shitz), "Multivariate Backhaul Compression for the Downlink of Cloud Radio Access Networks," in Proc. IEEE ISIT 2014, Honolulu, HI.
• [C.147] S.-H. Park, O. Simeone, O. Sahin and S. Shamai (Shitz), "Multihop Backhaul Compression for the Uplink of Cloud Radio Access Networks," in Proc. IEEE ISIT 2014, Honolulu, HI.
• [C.146] A. Fouladgar, O. Simeone and E. Erkip, "Constrained Codes for Joint Energy and Information Transfer with Receiver Energy Utilization Requirements," in Proc. IEEE ISIT 2014, Honolulu, HI.
• [C.145] S.-H. Park, O. Simeone, O. Sahin and S. Shamai (Shitz), "Performance Evaluation of Multiterminal Backhaul Compression for Cloud Radio Access Networks," in Proc. CISS, Princeton, NJ, March 2014.
• [C.144] S.-H. Park, O. Simeone, O. Sahin and S. Shamai (Shitz), "On remote radio head selection for the downlink of backhaul constrained network MIMO systems," in Proc. CISS, Princeton, NJ, March 2014.
• [C.143] J. Kang, O. Simeone, J. Kang, S. Shamai (Shitz), "Joint Signal and Channel State Information Compression for Uplink Network MIMO Systems," in Proc. IEEE GlobalSIP 2013, Austin, TX.
• [C.142] S. Jeong, O. Simeone, A. Haimovich, J. Kang, "Beamforming Design for Joint Localization and Data Transmission in Distributed Antenna Systems," in Proc. IEEE GlobalSIP 2013, Austin, TX.
• [C.141-100] Conference papers C.141 through C.100 (2010-2013) are available on the previous site.
• [C.99-50] Conference papers C.99 through C.50 (2007-2010) are available on the previous site.
• [C.49] O. Simeone, U. Spagnolini and Y. Bar-Ness, "On pulse-coupled discrete-time phase locked loops for wireless networks," in Proc. IEEE SPAWC 2007 (BEST PAPER AWARD).
• [C.48-1] Conference papers C.48 through C.1 (2002-2007) are available on the previous site.

Earlier conference papers (C.169 and below, 2002-2016) are available on the previous site and on Google Scholar.