Miguel R. D. Rodrigues

232 papers A* 7A 5B 34C 2Misc 22Journal 130Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Training for Cultural Awareness: The Role of Dataset Linguistic Structure in Large Language Models. CoRR Reem I. Masoud, Chen Feng, Shunta Asano, Saied Alshahrani, Philip Colin Treleaven, Miguel R. D. Rodrigues
2026	J	`jnl`	Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges. CoRR Chen Feng, Minghe shen, Ananth Balashankar, Carsten Gerner-Beuerle, Miguel R. D. Rodrigues
2025	J	`jnl`	Borrowing treasures from neighbors: In-context learning for multimodal learning with missing modalities and data scarcity. Neurocomputing Zhuo Zhi, Ziquan Liu, Moe Elbadawi, Adam Daneshmend, Mine Orlu, Abdul Basit, Andreas Demosthenous, Miguel R. D. Rodrigues
2025	J	`jnl`	Online End-to-End Learning-Based Predictive Control for Microgrid Energy Management. IEEE Trans. Control. Syst. Technol. Vittorio Casagrande, Martin Ferianc, Miguel R. D. Rodrigues, Francesca Boem
2025	J	`jnl`	Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework. CoRR Zhuo Zhi, Chen Feng, Adam Daneshmend, Mine Orlu, Andreas Demosthenous, Lu Yin, Da Li, Ziquan Liu, Miguel R. D. Rodrigues
2025	J	`jnl`	TFAR: A Training-Free Framework for Autonomous Reliable Reasoning in Visual Question Answering. Trans. Mach. Learn. Res. Zhuo Zhi, Chen Feng, Adam Daneshmend, Mine Orlu, Andreas Demosthenous, Lu Yin, Da Li, Ziquan Liu, Miguel R. D. Rodrigues
2025	A*	`conf`	Unveiling Open-set Noise: Theoretical Insights into Label Noise. ACM Multimedia Chen Feng, Nicu Sebe, Georgios Tzimiropoulos, Miguel R. D. Rodrigues, Ioannis Patras
2025	J	`jnl`	Wasserstein Modality Alignment Makes Your Multimodal Transformer More Robust. Trans. Mach. Learn. Res. Zhuo Zhi, Yuxuan Sun, Qiangqiang Wu, Ziquan Liu, Miguel R. D. Rodrigues
2024	J	`jnl`	Exploring the Impact of Additive Shortcuts in Neural Networks via Information Bottleneck-like Dynamics: From ResNet to Transformer. Entropy Zhaoyan Lyu, Miguel R. D. Rodrigues
2024	J	`jnl`	Federated Fairness without Access to Sensitive Groups. CoRR Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues
2024	J	`jnl`	Hyperspectral Blind Unmixing Using a Double Deep Image Prior. IEEE Trans. Neural Networks Learn. Syst. Chao Zhou, Miguel R. D. Rodrigues
2024	J	`jnl`	Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm. IEEE Trans. Inf. Theory Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell
2024	J	`jnl`	Learning Algorithm Generalization Error Bounds via Auxiliary Distributions. IEEE J. Sel. Areas Inf. Theory Gholamali Aminian, Mohammad Saeed Masiha, Laura Toni, Miguel R. D. Rodrigues
2024	J	`jnl`	Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks. Trans. Mach. Learn. Res. Martin Ferianc, Ondrej Bohdal, Timothy M. Hospedales, Miguel R. D. Rodrigues
2024	J	`jnl`	Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding. IEEE Trans. Signal Process. Shaik Basheeruddin Shah, Pradyumna Pradhan, Wei Pu, Ramunaidu Randhi, Miguel R. D. Rodrigues, Yonina C. Eldar
2024	A	`conf`	SAE: Single Architecture Ensemble Neural Networks. BMVC Martin Ferianc, Hongxiang Fan, Miguel R. D. Rodrigues
2024	—	`conf`	Synthetic Labeling: A Novel Approach to Advancing Few-Shot Learning. Tiny Papers @ ICLR Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues
2023	J	`jnl`	An information-Theoretic Approach to Semi-supervised Transfer Learning. CoRR Daniel Jakubovitz, David Uliel, Miguel R. D. Rodrigues, Raja Giryes
2023	B	`conf`	BITS-Net: Blind Image Transparency Separation Network. ICIP Chao Zhou, Zhaoyan Lyu, Miguel R. D. Rodrigues
2023	J	`jnl`	Deep Joint Source-Channel Coding for Image Transmission With Visual Protection. IEEE Trans. Cogn. Commun. Netw. Jialong Xu, Bo Ai, Wei Chen, Ning Wang, Miguel R. D. Rodrigues
2023	A*	`conf`	Generalization and Estimation Error Bounds for Model-based Neural Networks. ICLR Avner Shultzman, Eyar Azar, Miguel R. D. Rodrigues, Yonina C. Eldar
2023	J	`jnl`	Generalization and Estimation Error Bounds for Model-based Neural Networks. CoRR Avner Shultzman, Eyar Azar, Miguel R. D. Rodrigues, Yonina C. Eldar
2023	A	`conf`	How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? AISTATS Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, Vincent Y. F. Tan
2023	J	`jnl`	Image Separation With Side Information: A Connected Auto-Encoders Based Approach. IEEE Trans. Image Process. Wei Pu, Barak Sober, Nathan Daly, Chao Zhou, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues
2023	J	`jnl`	Impact of Noise on Calibration and Generalisation of Neural Networks. CoRR Martin Ferianc, Ondrej Bohdal, Timothy M. Hospedales, Miguel R. D. Rodrigues
2023	J	`jnl`	On Neural Networks Fitting, Compression, and Generalization Behavior via Information-Bottleneck-like Approaches. Entropy Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues
2023	B	`conf`	On the Generalization Error of Meta Learning for the Gibbs Algorithm. ISIT Yuheng Bu, Harsha Vardhan Tetali, Gholamali Aminian, Miguel R. D. Rodrigues, Gregory W. Wornell
2023	J	`jnl`	On the Generalization Error of Meta Learning for the Gibbs Algorithm. CoRR Yuheng Bu, Harsha Vardhan Tetali, Gholamali Aminian, Miguel R. D. Rodrigues, Gregory W. Wornell
2023	J	`jnl`	Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding. CoRR Shaik Basheeruddin Shah, Pradyumna Pradhan, Wei Pu, Ramunaidu Randhi, Miguel R. D. Rodrigues, Yonina C. Eldar
2022	J	`jnl`	ADMM-Based Hyperspectral Unmixing Networks for Abundance and Endmember Estimation. IEEE Trans. Geosci. Remote. Sens. Chao Zhou, Miguel R. D. Rodrigues
2022	J	`jnl`	Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations. IEEE Trans. Parallel Distributed Syst. Hongxiang Fan, Martin Ferianc, Zhiqiang Que, Xinyu Niu, Miguel R. D. Rodrigues, Wayne Luk
2022	A	`conf`	An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. AISTATS Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues
2022	J	`jnl`	An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. CoRR Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues
2022	Misc	`conf`	Blind Unmixing Using A Double Deep Image Prior. ICASSP Chao Zhou, Miguel R. D. Rodrigues
2022	A	`conf`	Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. AISTATS Yuheng Bu, Gholamali Aminian, Laura Toni, Gregory W. Wornell, Miguel R. D. Rodrigues
2022	J	`jnl`	FPGA-Based Acceleration for Bayesian Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Hongxiang Fan, Martin Ferianc, Zhiqiang Que, Shuanglong Liu, Xinyu Niu, Miguel R. D. Rodrigues, Wayne Luk
2022	J	`jnl`	How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? CoRR Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, Vincent Y. F. Tan
2022	J	`jnl`	Information-theoretic Characterizations of Generalization Error for the Gibbs Algorithm. CoRR Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell
2022	J	`jnl`	Learning Algorithm Generalization Error Bounds via Auxiliary Distributions. CoRR Gholamali Aminian, Saeed Masiha, Laura Toni, Miguel R. D. Rodrigues
2022	—	`conf`	Minimax Demographic Group Fairness in Federated Learning. FAccT Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues
2022	J	`jnl`	Minimax Demographic Group Fairness in Federated Learning. CoRR Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues
2022	J	`jnl`	Mixed X-Ray Image Separation for Artworks With Concealed Designs. IEEE Trans. Image Process. Wei Pu, Junjie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Pier Luigi Dragotti, Miguel R. D. Rodrigues
2022	J	`jnl`	Mixed X-Ray Image Separation for Artworks with Concealed Designs. CoRR Wei Pu, Jun-Jie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Pier Luigi Dragotti, Miguel R. D. Rodrigues
2022	Misc	`conf`	Optimization Guarantees for ISTA and ADMM Based Unfolded Networks. ICASSP Wei Pu, Yonina C. Eldar, Miguel R. D. Rodrigues
2022	J	`jnl`	Semi-Counterfactual Risk Minimization Via Neural Networks. CoRR Gholamali Aminian, Roberto Vega, Omar Rivasplata, Laura Toni, Miguel R. D. Rodrigues
2022	J	`jnl`	Theoretical Perspectives on Deep Learning Methods in Inverse Problems. CoRR Jonathan Scarlett, Reinhard Heckel, Miguel R. D. Rodrigues, Paul Hand, Yonina C. Eldar
2022	J	`jnl`	Theoretical Perspectives on Deep Learning Methods in Inverse Problems. IEEE J. Sel. Areas Inf. Theory Jonathan Scarlett, Reinhard Heckel, Miguel R. D. Rodrigues, Paul Hand, Yonina C. Eldar
2022	B	`conf`	Tighter Expected Generalization Error Bounds via Convexity of Information Measures. ISIT Gholamali Aminian, Yuheng Bu, Gregory W. Wornell, Miguel R. D. Rodrigues
2022	J	`jnl`	Tighter Expected Generalization Error Bounds via Convexity of Information Measures. CoRR Gholamali Aminian, Yuheng Bu, Gregory W. Wornell, Miguel R. D. Rodrigues
2022	J	`jnl`	Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules. IEEE Trans. Circuits Syst. Video Technol. Jialong Xu, Bo Ai, Wei Chen, Ang Yang, Peng Sun, Miguel R. D. Rodrigues
2021	—	`conf`	A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs. EUSIPCO Wei Pu, Junjie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti, Ingrid Daubechies, Miguel R. D. Rodrigues
2021	Misc	`conf`	An ADMM Based Network for Hyperspectral Unmixing Tasks. ICASSP Chao Zhou, Miguel R. D. Rodrigues
2021	A*	`conf`	An Exact Characterization of the Generalization Error for the Gibbs Algorithm. NeurIPS Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell
2021	A*	`conf`	Blind Pareto Fairness and Subgroup Robustness. ICML Natalia Martínez, Martín Bertrán, Afroditi Papadaki, Miguel R. D. Rodrigues, Guillermo Sapiro
2021	J	`jnl`	Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. CoRR Yuheng Bu, Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell
2021	J	`jnl`	Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information. CoRR Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell
2021	J	`jnl`	Deep Joint Encryption and Source-Channel Coding: An Image Privacy Protection Approach. CoRR Jialong Xu, Bo Ai, Wei Chen, Ning Wang, Miguel R. D. Rodrigues
2021	J	`jnl`	Deep Learning Model-Aware Regulatization With Applications to Inverse Problems. IEEE Trans. Signal Process. Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues
2021	J	`jnl`	Federating for Learning Group Fair Models. CoRR Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues
2021	B	`conf`	Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms. ISIT Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues
2021	J	`jnl`	Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms. CoRR Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues
2021	Misc	`conf`	REST: Robust lEarned Shrinkage-Thresholding Network Taming Inverse Problems with Model Mismatch. ICASSP Wei Pu, Chao Zhou, Yonina C. Eldar, Miguel R. D. Rodrigues
2021	—	`conf`	Regression with Deep Neural Networks: Generalization Error Guarantees, Learning Algorithms, and Regularizers. EUSIPCO Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues
2021	J	`jnl`	Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover. CoRR Wei Pu, Chao Zhou, Yonina C. Eldar, Miguel R. D. Rodrigues
2021	—	`conf`	Toward Minimal-Sufficiency in Regression Tasks: An Approach Based on a Variational Estimation Bottleneck. MLSP Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues
2020	Misc	`conf`	A Connected Auto-Encoders Based Approach for Image Separation with Side Information: With Applications to Art Investigation. ICASSP Wei Pu, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues
2020	J	`jnl`	Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning. IEEE Trans. Biomed. Circuits Syst. Majid Zamani, Jure Sokolic, Dai Jiang, Francesco Renna, Miguel R. D. Rodrigues, Andreas Demosthenous
2020	J	`jnl`	Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction. IEEE Trans. Medical Imaging Pingfan Song, Lior Weizman, João F. C. Mota, Yonina C. Eldar, Miguel R. D. Rodrigues
2020	J	`jnl`	Image Separation with Side Information: A Connected Auto-Encoders Based Approach. CoRR Wei Pu, Barak Sober, Nathan Daly, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues
2020	B	`conf`	Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms. ITW Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues
2020	J	`jnl`	Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms. CoRR Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues
2020	J	`jnl`	Model-Aware Regularization For Learning Approaches To Inverse Problems. CoRR Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues
2020	J	`jnl`	Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries. IEEE Trans. Computational Imaging Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues
2020	J	`jnl`	RADAR: Robust Algorithm for Depth Image Super Resolution Based on FRI Theory and Multimodal Dictionary Learning. IEEE Trans. Circuits Syst. Video Technol. Xin Deng, Pingfan Song, Miguel R. D. Rodrigues, Pier Luigi Dragotti
2020	J	`jnl`	Source Separation With Side Information Based on Gaussian Mixture Models With Application in Art Investigation. IEEE Trans. Signal Process. Zahra Sabetsarvestani, Francesco Renna, Franz J. Király, Miguel R. D. Rodrigues
2019	A*	`conf`	Adversarially Learned Representations for Information Obfuscation and Inference. ICML Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Galen Reeves, Guillermo Sapiro
2019	J	`jnl`	Asymptotic Task-Based Quantization With Application to Massive MIMO. IEEE Trans. Signal Process. Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues
2019	J	`jnl`	Deep Learning for Inverse Problems: Bounds and Regularizers. CoRR Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues
2019	J	`jnl`	HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting. CoRR Pingfan Song, Yonina C. Eldar, Gal Mazor, Miguel R. D. Rodrigues
2019	—	`conf`	Hardware-Limited Task-Based Quantization. SPAWC Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues
2019	J	`jnl`	Hardware-Limited Task-Based Quantization. IEEE Trans. Signal Process. Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues
2019	—	`conf`	Lautum Regularization for Semi-Supervised Transfer Learning. ICCV Workshops Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes
2019	J	`jnl`	Lautum Regularization for Semi-supervised Transfer Learning. CoRR Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes
2019	Misc	`conf`	Magnetic Resonance Fingerprinting Using a Residual Convolutional Neural Network. ICASSP Pingfan Song, Yonina C. Eldar, Gal Mazor, Miguel R. D. Rodrigues
2019	Misc	`conf`	Task-Based Quantization for Massive MIMO Channel Estimation. ICASSP Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues
2018	J	`jnl`	Compressive Sensing With Side Information: How to Optimally Capture This Extra Information for GMM Signals? IEEE Trans. Signal Process. Meng-Yang Chen, Francesco Renna, Miguel R. D. Rodrigues
2018	B	`conf`	Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction. ICIP Pingfan Song, Lior Weizman, João F. C. Mota, Yonina C. Eldar, Miguel R. D. Rodrigues
2018	J	`jnl`	Coupled Dictionary Learning for Multi-contrast MRI Reconstruction. CoRR Pingfan Song, Lior Weizman, João F. C. Mota, Yonina C. Eldar, Miguel R. D. Rodrigues
2018	B	`conf`	Data aggregation and recovery for the Internet of Things: A compressive demixing approach. WCNC Evangelos Zimos, João F. C. Mota, Evaggelia Tsiligianni, Miguel R. D. Rodrigues, Nikos Deligiannis
2018	—	`conf`	Entry-wise Matrix Completion from Noisy Entries. EUSIPCO Zahra Sabetsarvestani, Franz J. Király, Miguel R. D. Rodrigues
2018	J	`jnl`	Generalization Error in Deep Learning. CoRR Daniel Jakubovitz, Raja Giryes, Miguel R. D. Rodrigues
2018	J	`jnl`	Hardware-Limited Task-Based Quantization. CoRR Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues
2018	J	`jnl`	Introduction to the Issue on Information-Theoretic Methods in Data Acquisition, Analysis, and Processing. IEEE J. Sel. Top. Signal Process. Miguel R. D. Rodrigues, Helmut Bölcskei, Stark C. Draper, Yonina C. Eldar, Vincent Yan Fu Tan
2018	J	`jnl`	Learning to Collaborate for User-Controlled Privacy. CoRR Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro
2018	—	`conf`	Multi-Modal Image Processing Based on Coupled Dictionary Learning. SPAWC Pingfan Song, Miguel R. D. Rodrigues
2018	J	`jnl`	Multi-modal Image Processing based on Coupled Dictionary Learning. CoRR Pingfan Song, Miguel R. D. Rodrigues
2018	B	`conf`	Multimodal Image Denoising Based on Coupled Dictionary Learning. ICIP Pingfan Song, Miguel R. D. Rodrigues
2018	J	`jnl`	Multimodal Image Denoising based on Coupled Dictionary Learning. CoRR Pingfan Song, Miguel R. D. Rodrigues
2018	—	`conf`	On Deep Learning for Inverse Problems. EUSIPCO Jaweria Amjad, Jure Sokolic, Miguel R. D. Rodrigues
2018	—	`conf`	Source Separation in the Presence of Side Information: Necessary and Sufficient Conditions for Reliable De-Mixing. GlobalSIP Zahra Sabetsarvestani, Francesco Renna, Franz J. Király, Miguel R. D. Rodrigues
2017	J	`jnl`	Compressed Sensing With Prior Information: Strategies, Geometry, and Bounds. IEEE Trans. Inf. Theory João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
2017	A	`conf`	Generalization Error of Invariant Classifiers. AISTATS Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues
2017	J	`jnl`	Heterogeneous Networked Data Recovery From Compressive Measurements Using a Copula Prior. IEEE Trans. Commun. Nikos Deligiannis, João F. C. Mota, Evangelos Zimos, Miguel R. D. Rodrigues
2017	J	`jnl`	Information-Theoretic Compressive Measurement Design. IEEE Trans. Pattern Anal. Mach. Intell. Liming Wang, Minhua Chen, Miguel R. D. Rodrigues, David Wilcox, A. Robert Calderbank, Lawrence Carin
2017	—	`conf`	Learning to Identify While Failing to Discriminate. ICCV Workshops Jure Sokolic, Miguel R. D. Rodrigues, Qiang Qiu, Guillermo Sapiro
2017	J	`jnl`	Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems. CoRR Jure Sokolic, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro
2017	J	`jnl`	Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation. IEEE Trans. Image Process. Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
2017	J	`jnl`	Multimodal Image Super-Resolution via Joint Sparse Representations induced by Coupled Dictionaries. CoRR Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues
2017	Misc	`conf`	Rate-distortion trade-offs in acquisition of signal parameters. ICASSP Miguel R. D. Rodrigues, Nikos Deligiannis, Lifeng Lai, Yonina C. Eldar
2017	J	`jnl`	Robust Large Margin Deep Neural Networks. IEEE Trans. Signal Process. Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues
2016	Misc	`conf`	A general framework for reconstruction and classification from compressive measurements with side information. ICASSP Liming Wang, Francesco Renna, Xin Yuan, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
2016	J	`jnl`	Adaptive-Rate Reconstruction of Time-Varying Signals With Application in Compressive Foreground Extraction. IEEE Trans. Signal Process. João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues
2016	B	`conf`	Bayesian Compressed Sensing with Heterogeneous Side Information. DCC Evangelos Zimos, João F. C. Mota, Miguel R. D. Rodrigues, Nikos Deligiannis
2016	J	`jnl`	Bounds on the Number of Measurements for Reliable Compressive Classification. CoRR Hugo Reboredo, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues
2016	J	`jnl`	Bounds on the Number of Measurements for Reliable Compressive Classification. IEEE Trans. Signal Process. Hugo Reboredo, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues
2016	J	`jnl`	Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information. IEEE Trans. Inf. Theory Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues
2016	—	`conf`	Coupled dictionary learning for multimodal image super-resolution. GlobalSIP Pingfan Song, João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
2016	J	`jnl`	Generalization Error of Invariant Classifiers. CoRR Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues
2016	—	`conf`	Internet-of-Things data aggregation using compressed sensing with side information. ICT Evangelos Zimos, João F. C. Mota, Miguel R. D. Rodrigues, Nikos Deligiannis
2016	J	`jnl`	Margin Preservation of Deep Neural Networks. CoRR Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues
2016	J	`jnl`	Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification. IEEE Trans. Signal Process. Jure Sokolic, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues
2016	J	`jnl`	Multi-modal dictionary learning for image separation with application in art investigation. CoRR Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
2016	B	`conf`	On the design of linear projections for compressive sensing with side information. ISIT Meng-Yang Chen, Francesco Renna, Miguel R. D. Rodrigues
2016	Misc	`conf`	Reference-based compressed sensing: A sample complexity approach. ICASSP João F. C. Mota, Lior Weizman, Nikos Deligiannis, Yonina C. Eldar, Miguel R. D. Rodrigues
2016	Misc	`conf`	Signal reconstruction in the presence of side information: The impact of projection kernel design. ICASSP Meng-Yang Chen, Francesco Renna, Miguel R. D. Rodrigues
2016	B	`conf`	X-ray image separation via coupled dictionary learning. ICIP Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
2016	J	`jnl`	X-ray image separation via coupled dictionary learning. CoRR Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
2015	B	`conf`	A concentration-of-measure inequality for multiple-measurement models. ISIT Liming Wang, Jiaji Huang, Xin Yuan, Volkan Cevher, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
2015	—	`conf`	A feature design framework for hardware efficient neural spike sorting. EMBC Jure Sokolic, Majid Zamani, Andreas Demosthenous, Miguel R. D. Rodrigues
2015	J	`jnl`	Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction. CoRR João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues
2015	Misc	`conf`	Alignment with intra-class structure can improve classification. ICASSP Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Miguel R. D. Rodrigues, Guillermo Sapiro
2015	B	`conf`	Classification and reconstruction of compressed GMM signals with side information. ISIT Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues
2015	J	`jnl`	Dictionary Design for Distributed Compressive Sensing. IEEE Signal Process. Lett. Wei Chen, Ian J. Wassell, Miguel R. D. Rodrigues
2015	J	`jnl`	Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers. IEEE Trans. Inf. Theory Matthew S. Nokleby, Miguel R. D. Rodrigues, A. Robert Calderbank
2015	Misc	`conf`	Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications. ICASSP João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues
2015	J	`jnl`	Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification. CoRR Jure Sokolic, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues
2015	B	`conf`	Mismatch in the classification of linear subspaces: Upper bound to the probability of error. ISIT Jure Sokolic, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues
2015	J	`jnl`	Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements. SIAM J. Imaging Sci. Liming Wang, Jiaji Huang, Xin Yuan, Kalyani Krishnamurthy, Joel A. Greenberg, Volkan Cevher, Miguel R. D. Rodrigues, David J. Brady, A. Robert Calderbank, Lawrence Carin
2014	J	`jnl`	A Bregman Matrix and the Gradient of Mutual Information for Vector Poisson and Gaussian Channels. IEEE Trans. Inf. Theory Liming Wang, David Edwin Carlson, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
2014	J	`jnl`	Best binary equivocation code construction for syndrome coding. IET Commun. Ke Zhang, Martin Tomlinson, Mohammed Zaki Ahmed, Marcel Ambroze, Miguel R. D. Rodrigues
2014	J	`jnl`	Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information. CoRR Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues
2014	J	`jnl`	Compressed Sensing With Side Information: Geometrical Interpretation and Performance Bounds. CoRR João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
2014	J	`jnl`	Compressed Sensing with Prior Information: Optimal Strategies, Geometry, and Bounds. CoRR João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
2014	—	`conf`	Compressed sensing with side information: Geometrical interpretation and performance bounds. GlobalSIP João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
2014	J	`jnl`	Compressive Classification of a Mixture of Gaussians: Analysis, Designs and Geometrical Interpretation. CoRR Hugo Reboredo, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues
2014	J	`jnl`	Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers. CoRR Matthew S. Nokleby, Miguel R. D. Rodrigues, A. Robert Calderbank
2014	B	`conf`	Discrimination on the grassmann manifold: Fundamental limits of subspace classifiers. ISIT Matthew S. Nokleby, Miguel R. D. Rodrigues, A. Robert Calderbank
2014	J	`jnl`	Fading Channels With Arbitrary Inputs: Asymptotics of the Constrained Capacity and Information and Estimation Measures. IEEE Trans. Inf. Theory Alberto Gil C. P. Ramos, Miguel R. D. Rodrigues
2014	Misc	`conf`	Information-theoretic criteria for the design of compressive subspace classifiers. ICASSP Matthew S. Nokleby, Miguel R. D. Rodrigues, A. Robert Calderbank
2014	J	`jnl`	Latent Sentiment Detection in Online Social Networks: A Communications-oriented View. CoRR Rohit Negi, Vinay Uday Prabhu, Miguel R. D. Rodrigues
2014	—	`conf`	Latent sentiment detection in Online Social Networks: A communications-oriented view. ICC Rohit Negi, Vinay Uday Prabhu, Miguel R. D. Rodrigues
2014	J	`jnl`	Multiple-Antenna Fading Channels With Arbitrary Inputs: Characterization and Optimization of the Information Rate. IEEE Trans. Inf. Theory Miguel R. D. Rodrigues
2014	A*	`conf`	Nonlinear Information-Theoretic Compressive Measurement Design. ICML Liming Wang, Abolfazl Razi, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
2014	J	`jnl`	Reconstruction of Signals Drawn From a Gaussian Mixture Via Noisy Compressive Measurements. IEEE Trans. Signal Process. Francesco Renna, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues
2013	B	`conf`	Characterization and optimization of the constrained capacity of coherent fading channels driven by arbitrary inputs: A Mellin transform based asymptotic approach. ISIT Alberto Gil C. P. Ramos, Miguel R. D. Rodrigues
2013	J	`jnl`	Compressive Classification CoRR Hugo Reboredo, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues
2013	B	`conf`	Compressive classification. ISIT Hugo Reboredo, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues
2013	Misc	`conf`	Compressive sensing for incoherent imaging systems with optical constraints. ICASSP Francesco Renna, Miguel R. D. Rodrigues, Minhua Chen, A. Robert Calderbank, Lawrence Carin
2013	—	`conf`	Designed Measurements for Vector Count Data. NIPS Liming Wang, David E. Carlson, Miguel R. D. Rodrigues, David Wilcox, A. Robert Calderbank, Lawrence Carin
2013	J	`jnl`	Dictionary Learning With Optimized Projection Design for Compressive Sensing Applications. IEEE Signal Process. Lett. Wei Chen, Miguel R. D. Rodrigues
2013	J	`jnl`	Filter Design With Secrecy Constraints: The MIMO Gaussian Wiretap Channel. IEEE Trans. Signal Process. Hugo Reboredo, João M. F. Xavier, Miguel R. D. Rodrigues
2013	J	`jnl`	Filter Design with Secrecy Constraints: The MIMO Gaussian Wiretap Channel CoRR Hugo Reboredo, João M. F. Xavier, Miguel R. D. Rodrigues
2013	J	`jnl`	Generalized Bregman Divergence and Gradient of Mutual Information for Vector Poisson Channels CoRR Liming Wang, Miguel R. D. Rodrigues, Lawrence Carin
2013	B	`conf`	Generalized Bregman divergence and gradient of mutual information for vector Poisson channels. ISIT Liming Wang, Miguel R. D. Rodrigues, Lawrence Carin
2013	B	`conf`	Information-theoretic limits on the classification of Gaussian mixtures: Classification on the Grassmann manifold. ITW Matthew S. Nokleby, A. Robert Calderbank, Miguel R. D. Rodrigues
2013	C	`conf`	On the comprehension of DSL SyncTrap events in IPTV networks. ISCC Angelos K. Marnerides, Simon Malinowski, Ricardo Morla, Miguel R. D. Rodrigues, Hyong S. Kim
2013	—	`conf`	Power allocation strategies for OFDM Gaussian wiretap channels with a friendly jammer. ICC Munnujahan Ara, Hugo Reboredo, Francesco Renna, Miguel R. D. Rodrigues
2013	J	`jnl`	Projection Design For Statistical Compressive Sensing: A Tight Frame Based Approach CoRR Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell
2013	J	`jnl`	Projection Design for Statistical Compressive Sensing: A Tight Frame Based Approach. IEEE Trans. Signal Process. Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell
2013	—	`conf`	Projections designs for compressive classification. GlobalSIP Hugo Reboredo, Francesco Renna, A. Robert Calderbank, Miguel R. D. Rodrigues
2013	—	`conf`	Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view. GlobalSIP Francesco Renna, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues
2013	J	`jnl`	Reconstruction of Signals Drawn from a Gaussian Mixture from Noisy Compressive Measurements: MMSE Phase Transitions and Beyond. CoRR Francesco Renna, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues
2013	J	`jnl`	Towards Energy Neutrality in Energy Harvesting Wireless Sensor Networks: A Case for Distributed Compressive Sensing? CoRR Wei Chen, Yiannis Andreopoulos, Ian J. Wassell, Miguel R. D. Rodrigues
2013	B	`conf`	Towards energy neutrality in energy harvesting wireless sensor networks: A case for distributed compressive sensing? GLOBECOM Wei Chen, Yiannis Andreopoulos, Ian J. Wassell, Miguel R. D. Rodrigues
2013	J	`jnl`	Unlocking Energy Neutrality in Energy Harvesting Wireless Sensor Networks: An Approach Based on Distributed Compressed Sensing. CoRR Wei Chen, Yiannis Andreopoulos, Ian J. Wassell, Miguel R. D. Rodrigues
2012	J	`jnl`	A Frechet Mean Approach for Compressive Sensing Date Acquisition and Reconstruction in Wireless Sensor Networks. IEEE Trans. Wirel. Commun. Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell
2012	Misc	`conf`	A zero-sum power allocation game in the parallel Gaussian wiretap channel with an unfriendly jammer. ICCS Munnujahan Ara, Hugo Reboredo, Samah A. M. Ghanem, Miguel R. D. Rodrigues
2012	B	`conf`	Characterization of the constrained capacity of multiple-antenna fading coherent channels driven by arbitrary inputs. ISIT Miguel R. D. Rodrigues
2012	J	`jnl`	Coherent Fading Channels Driven by Arbitrary Inputs: Asymptotic Characterization of the Constrained Capacity and Related Information- and Estimation-Theoretic Quantities. CoRR Alberto Gil C. P. Ramos, Miguel R. D. Rodrigues
2012	A*	`conf`	Communications Inspired Linear Discriminant Analysis. ICML Minhua Chen, William R. Carson, Miguel R. D. Rodrigues, Lawrence Carin, A. Robert Calderbank
2012	J	`jnl`	Communications-Inspired Projection Design with Application to Compressive Sensing CoRR William R. Carson, Minhua Chen, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
2012	J	`jnl`	Communications-Inspired Projection Design with Application to Compressive Sensing. SIAM J. Imaging Sci. William R. Carson, Minhua Chen, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin
2012	—	`conf`	Filter design with secrecy constraints: Zero-forcing constraint at the legitimate receiver. SPAWC Hugo Reboredo, Miguel R. D. Rodrigues, João M. F. Xavier
2012	Misc	`conf`	How to focus the discriminative power of a dictionary. ICASSP William R. Carson, Miguel R. D. Rodrigues, Minhua Chen, Lawrence Carin, A. Robert Calderbank
2012	J	`jnl`	On the Use of Unit-Norm Tight Frames to Improve the Average MSE Performance in Compressive Sensing Applications. IEEE Signal Process. Lett. Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell
2012	—	`conf`	On the benefit of using tight frames for robust data transmission and compressive data gathering in wireless sensor networks. ICC Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell
2012	Misc	`conf`	On the design of optimized projections for sensing sparse signals in overcomplete dictionaries. ICASSP Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell
2012	—	`conf`	Orthogonal Signalling in the Gaussian Wiretap Channel in the Wideband Regime. VTC Spring Ke Zhang, Miguel R. D. Rodrigues, Mohammed Zaki Ahmed, Martin Tomlinson, Francisco Cercas
2012	B	`conf`	Towards the improvement of diagnostic metrics Fault diagnosis for DSL-Based IPTV networks using the Rényi entropy. GLOBECOM Angelos K. Marnerides, Simon Malinowski, Ricardo Morla, Miguel R. D. Rodrigues, Hyong S. Kim
2011	J	`jnl`	Characterization of Demapper EXIT Functions with BEC a priori Information with Applications to BICM-ID. IEEE Trans. Commun. William R. Carson, Miguel R. D. Rodrigues, Ian J. Wassell
2011	—	`conf`	Design of filters for reliable and secure communications conditional mean estimation at the eavesdropper. EUROCON Hugo Reboredo, Miguel R. D. Rodrigues, João M. F. Xavier
2011	—	`conf`	Distributed Compressive Sensing Reconstruction via Common Support Discovery. ICC Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell
2011	—	`conf`	Filter Design with Secrecy Constraints: The Degraded Multiple-Input Multiple-Output Gaussian Wiretap Channel. VTC Spring Hugo Reboredo, Munnujahan Ara, Miguel R. D. Rodrigues, João M. F. Xavier
2011	Misc	`conf`	Filter design with secrecy constraints: The multiple-input multiple-output Gaussian wiretap channel with zero forcing receive filters. ICASSP Hugo Reboredo, Vinay Uday Prabhu, Miguel R. D. Rodrigues, João M. F. Xavier
2011	J	`jnl`	On Wireless Channels With varepsilon-Outage Secrecy Capacity. IEEE Trans. Inf. Forensics Secur. Vinay Uday Prabhu, Miguel R. D. Rodrigues
2011	B	`conf`	On the constrained capacity of multi-antenna fading coherent channels with discrete inputs. ISIT Miguel R. D. Rodrigues
2011	Misc	`conf`	Penalized L1 minimization for reconstruction of time-varying sparse signals. ICASSP Wei Chen, Miguel R. D. Rodrigues, Ian J. Wassell
2011	Misc	`conf`	When to add another dimension when communicating over MIMO channels. ICASSP Sreechakra Goparaju, A. Robert Calderbank, William R. Carson, Miguel R. D. Rodrigues, Fernando Pérez-Cruz
2010	J	`jnl`	A Fast Constrained Sphere Decoder for Ill Conditioned Communication Systems. IEEE Commun. Lett. Ioannis Kanaras, Arsenia Chorti, Miguel R. D. Rodrigues, Izzat Darwazeh
2010	B	`conf`	Joint channel equalization and detection of Spectrally Efficient FDM signals. PIMRC Arsenia Chorti, Ioannis Kanaras, Miguel R. D. Rodrigues, Izzat Darwazeh
2010	J	`jnl`	MIMO Gaussian channels with arbitrary inputs: optimal precoding and power allocation. IEEE Trans. Inf. Theory Fernando Pérez-Cruz, Miguel R. D. Rodrigues, Sergio Verdú
2010	B	`conf`	Modelling the decoder and demapper EXIT chart curves in BICM-ID systems: BEC approximations. ISIT William R. Carson, Miguel R. D. Rodrigues, Ian J. Wassell
2010	B	`conf`	On Wireless Channels with M-Antenna Eavesdroppers: Characterization of the Outage Probability and Outage Secrecy Capacity. GLOBECOM Vinay Uday Prabhu, Miguel R. D. Rodrigues
2010	J	`jnl`	Performance-complexity tradeoff of convolutional codes for broadband fixed wireless access systems. IET Commun. Ioannis Chatzigeorgiou, Andreas Demosthenous, Miguel R. D. Rodrigues, Ian J. Wassell
2009	J	`jnl`	Analysis and design of punctured rate-1/2 turbo codes exhibiting low error floors. IEEE J. Sel. Areas Commun. Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco
2009	B	`conf`	Investigation of a Semidefinite Programming detection for a spectrally efficient FDM system. PIMRC Ioannis Kanaras, Arsenia Chorti, Miguel R. D. Rodrigues, Izzat Darwazeh
2009	B	`conf`	On multiple-input multiple-output Gaussian channels with arbitrary inputs subject to jamming. ISIT Miguel R. D. Rodrigues, Gil Ramos
2009	—	`conf`	Spectrally Efficient FDM Signals: Bandwidth Gain at the Expense of Receiver Complexity. ICC Ioannis Kanaras, Arsenia Chorti, Miguel R. D. Rodrigues, Izzat Darwazeh
2009	J	`jnl`	The augmented state diagram and its application to convolutional and turbo codes. IEEE Trans. Commun. Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco
2008	C	`conf`	A combined MMSE-ML detection for a spectrally efficient non orthogonal FDM signal. BROADNETS Ioannis Kanaras, Arsenia Chorti, Miguel R. D. Rodrigues, Izzat Darwazeh
2008	B	`conf`	Filter Design with Secrecy Constraints: The Degraded Parallel Gaussian Wiretap Channel. GLOBECOM Miguel R. D. Rodrigues, Pedro D. M. Almeida
2008	B	`conf`	Multiple-input multiple-output Gaussian channels: Optimal covariance for non-Gaussian inputs. ITW Miguel R. D. Rodrigues, Fernando Pérez-Cruz, Sergio Verdú
2008	—	`conf`	Optimal Precoding for Digital Subscriber Lines. ICC Fernando Pérez-Cruz, Miguel R. D. Rodrigues, Sergio Verdú
2008	J	`jnl`	Performance analysis of turbo codes in quasi-static fading channels. IET Commun. Miguel R. D. Rodrigues, Ioannis Chatzigeorgiou, Ian J. Wassell, Rolando A. Carrasco
2008	J	`jnl`	Wireless Information-Theoretic Security. IEEE Trans. Inf. Theory Matthieu R. Bloch, João Barros, Miguel R. D. Rodrigues, Steven W. McLaughlin
2007	J	`jnl`	A Union Bound Approximation for Rapid Performance Evaluation of Punctured Turbo Codes CoRR Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco
2007	Misc	`conf`	A Union Bound Approximation for Rapid Performance Evaluation of Punctured Turbo Codes. CISS Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco
2007	J	`jnl`	Can Punctured Rate-1/2 Turbo Codes Achieve a Lower Error Floor than their Rate-1/3 Parent Codes? CoRR Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco
2007	J	`jnl`	Comparison of Convolutional and Turbo Coding for Broadband FWA Systems. IEEE Trans. Broadcast. Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco
2007	J	`jnl`	Lattice-reduction-aided detection for MIMO-OFDM-CDM communication systems. IET Commun. Jaime Adeane, Miguel R. D. Rodrigues, Ian J. Wassell
2007	B	`conf`	On the Performance of Iterative Demapping and Decoding Techniques over Quasi-Static Fading Channels. PIMRC William R. Carson, Ioannis Chatzigeorgiou, Ian J. Wassell, Miguel R. D. Rodrigues, Rolando A. Carrasco
2007	J	`jnl`	Pseudo-random Puncturing: A Technique to Lower the Error Floor of Turbo Codes CoRR Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco
2007	B	`conf`	Pseudo-random Puncturing: A Technique to Lower the Error Floor of Turbo Codes. ISIT Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco
2006	—	`conf`	A Novel Technique To Evaluate the Transfer Function of Punctured Turbo Codes. ICC Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell, Rolando A. Carrasco
2006	J	`jnl`	IMD reduction with SLM and PTS to improve the error-probability performance of nonlinearly distorted OFDM signals. IEEE Trans. Veh. Technol. Miguel R. D. Rodrigues, Ian J. Wassell
2006	B	`conf`	Secrecy Capacity of Wireless Channels. ISIT João Barros, Miguel R. D. Rodrigues
2006	J	`jnl`	Wireless Information-Theoretic Security - Part I: Theoretical Aspects CoRR Matthieu R. Bloch, João Barros, Miguel R. D. Rodrigues, Steven W. McLaughlin
2006	J	`jnl`	Wireless Information-Theoretic Security - Part II: Practical Implementation CoRR Matthieu R. Bloch, João Barros, Miguel R. D. Rodrigues, Steven W. McLaughlin
2005	J	`jnl`	On the Performance of Turbo Codes in Quasi-Static Fading Channels CoRR Miguel R. D. Rodrigues, Ioannis Chatzigeorgiou, Ian J. Wassell, Rolando A. Carrasco
2005	B	`conf`	On the performance of turbo codes in quasi-static fading channels. ISIT Miguel R. D. Rodrigues, Ioannis Chatzigeorgiou, Ian J. Wassell, Rolando A. Carrasco
2004	—	`conf`	SLM and PTS based on an IMD reduction strategy to improve the error probability performance of non-linearly distorted OFDM signals. ICC Miguel R. D. Rodrigues, Ian J. Wassell
2002	—	`conf`	Performance assessment of MC-CDMA and MC-DS-CDMA in the presence of high power amplifier non-linearities. VTC Spring Nishita Hathi, Miguel R. D. Rodrigues, Izzat Darwazeh, John J. O'Reilly