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ORCIDFernando Pérez-Cruz
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- affiliation: ETH Zurich, Swiss Data Science Center, Switzerland
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2020 – today
- 2023
[j49]Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz:
Enhancing diversity in GANs via non-uniform sampling. Inf. Sci. 637: 118928 (2023)- [j48]Aurora Cobo Aguilera
, Pablo M. Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz:
Regularizing transformers with deep probabilistic layers. Neural Networks 161: 565-574 (2023) - [j47]Firat Ozdemir, Berkan Lafci, Xosé-Luís Dean-Ben, Daniel Razansky, Fernando Pérez-Cruz:
OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing. Trans. Mach. Learn. Res. 2023 (2023) - [c67]Shirin Goshtasbpour, Victor Cohen, Fernando Pérez-Cruz:
Adaptive Annealed Importance Sampling with Constant Rate Progress. ICML 2023: 11642-11658 - [i35]Stefania Russo, Nathanaël Perraudin, Steven Stalder, Fernando Pérez-Cruz, João Paulo Leitão, Guillaume Obozinski, Jan Dirk Wegner:
An evaluation of deep learning models for predicting water depth evolution in urban floods. CoRR abs/2302.10062 (2023) - [i34]Sichen Li, Jochem Snuverink, Fernando Pérez-Cruz, Andreas Adelmann:
Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression. CoRR abs/2303.08984 (2023) - [i33]Javier Rando, Fernando Pérez-Cruz, Briland Hitaj:
PassGPT: Password Modeling and (Guided) Generation with Large Language Models. CoRR abs/2306.01545 (2023) - [i32]Shirin Goshtasbpour, Victor Cohen, Fernando Pérez-Cruz:
Adaptive Annealed Importance Sampling with Constant Rate Progress. CoRR abs/2306.15283 (2023) - [i31]Simon Dirmeier, Carlo Albert, Fernando Pérez-Cruz:
Simulation-based inference using surjective sequential neural likelihood estimation. CoRR abs/2308.01054 (2023) - 2022
- [j46]Michael Minyi Zhang, Sinead A. Williamson, Fernando Pérez-Cruz:
Accelerated parallel non-conjugate sampling for Bayesian non-parametric models. Stat. Comput. 32(3): 50 (2022) - [c66]Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz:
MaleficNet: Hiding Malware into Deep Neural Networks Using Spread-Spectrum Channel Coding. ESORICS (3) 2022: 425-444 - [c65]Yanan Xin, Natasa Tagasovska, Fernando Pérez-Cruz, Martin Raubal:
Vision paper: causal inference for interpretable and robust machine learning in mobility analysis. SIGSPATIAL/GIS 2022: 66:1-66:4 - [c64]Anna Klimovskaia Susmelj, Berkan Lafci, Firat Ozdemir, Neda Davoudi, Xosé-Luís Dean-Ben, Fernando Pérez-Cruz, Daniel Razansky:
Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data. MIDL 2022: 1173-1191 - [c63]Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi:
What You See is What You Classify: Black Box Attributions. NeurIPS 2022 - [c62]Shirin Goshtasbpour, Fernando Pérez-Cruz:
Optimization of Annealed Importance Sampling Hyperparameters. ECML/PKDD (5) 2022: 174-190 - [c61]Muhammad Awais Jadoon, Adriano Pastore, Monica Navarro, Fernando Pérez-Cruz:
Deep Reinforcement Learning for Random Access in Machine-Type Communication. WCNC 2022: 2553-2558 - [i30]Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini:
FedComm: Federated Learning as a Medium for Covert Communication. CoRR abs/2201.08786 (2022) - [i29]Muhammad Awais Jadoon, Adriano Pastore, Monica Navarro, Fernando Pérez-Cruz:
Deep Reinforcement Learning for Random Access in Machine-Type Communication. CoRR abs/2201.09841 (2022) - [i28]Carlo Albert, Simone Ulzega, Firat Ozdemir, Fernando Pérez-Cruz, Antonietta Mira:
Learning Summary Statistics for Bayesian Inference with Autoencoders. CoRR abs/2201.12059 (2022) - [i27]Giulio Pagnotta, Dorjan Hitaj, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini:
TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding. CoRR abs/2202.06091 (2022) - [i26]Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi:
What You See is What You Classify: Black Box Attributions. CoRR abs/2205.11266 (2022) - [i25]Berkan Lafci, Firat Ozdemir, Xosé-Luís Dean-Ben, Daniel Razansky, Fernando Pérez-Cruz:
OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing. CoRR abs/2206.08612 (2022) - [i24]Manuel Knott, Fernando Pérez-Cruz, Thijs Defraeye:
Facilitated machine learning for image-based fruit quality assessment in developing countries. CoRR abs/2207.04523 (2022) - [i23]Shirin Goshtasbpour, Fernando Pérez-Cruz:
Optimization of Annealed Importance Sampling Hyperparameters. CoRR abs/2209.13226 (2022) - [i22]Yanan Xin, Natasa Tagasovska, Fernando Pérez-Cruz, Martin Raubal:
Vision Paper: Causal Inference for Interpretable and Robust Machine Learning in Mobility Analysis. CoRR abs/2210.10010 (2022) - [i21]Vera M. Balmer, Sophia V. Kuhn, Rafael Bischof, Luis Salamanca, Walter Kaufmann, Fernando Pérez-Cruz, Michael A. Kraus:
Design Space Exploration and Explanation via Conditional Variational Autoencoders in Meta-model-based Conceptual Design of Pedestrian Bridges. CoRR abs/2211.16406 (2022) - 2021
- [j45]Sichen Li, Mélissa Zacharias, Jochem Snuverink, Jaime Coello de Portugal, Fernando Pérez-Cruz, Davide Reggiani, Andreas Adelmann:
A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators. Inf. 12(3): 121 (2021) - [e4]Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12975, Springer 2021, ISBN 978-3-030-86485-9 [contents] - [e3]Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12976, Springer 2021, ISBN 978-3-030-86519-1 [contents] - [e2]Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12977, Springer 2021, ISBN 978-3-030-86522-1 [contents] - [i20]Sichen Li, Mélissa Zacharias, Jochem Snuverink, Jaime Coello de Portugal, Fernando Pérez-Cruz, Davide Reggiani, Andreas Adelmann:
A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators. CoRR abs/2102.00786 (2021) - [i19]Aurora Cobo Aguilera, Pablo Martinez-Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz:
Regularizing Transformers With Deep Probabilistic Layers. CoRR abs/2108.10764 (2021) - [i18]Romana Rust, Achilleas Xydis, Kurt Heutschi, Nathanaël Perraudin, Gonzalo Casas, Chaoyu Du, Jürgen Strauss, Kurt Eggenschwiler, Fernando Pérez-Cruz, Fabio Gramazio, Matthias Kohler:
A data acquisition setup for data driven acoustic design. CoRR abs/2109.12014 (2021) - [i17]Michael Stalder, Firat Ozdemir, Artur Safin, Jonas Sukys, Damien Bouffard, Fernando Pérez-Cruz:
Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network. CoRR abs/2109.13235 (2021) - 2020
- [i16]Aurora Cobo Aguilera, Antonio Artés-Rodríguez, Fernando Pérez-Cruz, Pablo Martinez-Olmos:
Robust Sampling in Deep Learning. CoRR abs/2006.02734 (2020)
2010 – 2019
- 2019
- [j44]Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang:
Probabilistic Time of Arrival Localization. IEEE Signal Process. Lett. 26(11): 1683-1687 (2019) - [c60]Briland Hitaj, Paolo Gasti, Giuseppe Ateniese, Fernando Pérez-Cruz:
PassGAN: A Deep Learning Approach for Password Guessing. ACNS 2019: 217-237 - [c59]Hector Dejea, Christine Tanner, Radhakrishna Achanta, Marco Stampanoni, Fernando Pérez-Cruz, Ender Konukoglu, Anne Bonnin:
Synchrotron X-Ray Phase Contrast Imaging and Deep Neural Networks for Cardiac Collagen Quantification in Hypertensive Rat Model. FIMH 2019: 187-195 - [i15]Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz:
Out-of-Sample Testing for GANs. CoRR abs/1901.09557 (2019) - [i14]Stefan G. Stark, Stephanie L. Hyland, Melanie Fernandes Pradier, Kjong-Van Lehmann, Andreas Wicki, Fernando Pérez-Cruz, Julia E. Vogt, Gunnar Rätsch:
Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies. CoRR abs/1904.12973 (2019) - [i13]Javier Céspedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz:
Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference. CoRR abs/1910.00853 (2019) - [i12]Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang:
Probabilistic Time of Arrival Localization. CoRR abs/1910.06569 (2019) - [i11]Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz:
Improved BiGAN training with marginal likelihood equalization. CoRR abs/1911.01425 (2019) - 2018
- [j43]Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz:
Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. IEEE Trans. Cogn. Commun. Netw. 4(2): 177-191 (2018) - [j42]Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, F. Javier Payan-Somet, Fernando Pérez-Cruz:
Complex Gaussian Processes for Regression. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5499-5511 (2018) - [j41]Javier Cespedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz:
Probabilistic MIMO Symbol Detection With Expectation Consistency Approximate Inference. IEEE Trans. Veh. Technol. 67(4): 3481-3494 (2018) - [c58]Melanie F. Pradier, Viktor Stojkoski, Zoran Utkovski, Lujupco Kocorev, Fernando Pérez-Cruz:
Sparse Three-Parameter Restricted Indian Buffet Process for Understanding International Trade. ICASSP 2018: 2476-2480 - [e1]Amos J. Storkey, Fernando Pérez-Cruz:
International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain. Proceedings of Machine Learning Research 84, PMLR 2018 [contents] - [i10]Melanie F. Pradier, Viktor Stojkoski, Zoran Utkovski, Ljupco Kocarev, Fernando Pérez-Cruz:
Sparse Three-parameter Restricted Indian Buffet Process for Understanding International Trade. CoRR abs/1806.11518 (2018) - [i9]Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz:
Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. CoRR abs/1810.09261 (2018) - 2017
- [j40]Simon Yiu, Marzieh Dashti, Holger Claussen, Fernando Pérez-Cruz:
Wireless RSSI fingerprinting localization. Signal Process. 131: 235-244 (2017) - [j39]Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Irene Santos Velázquez, Fernando Pérez-Cruz:
Widely Linear Complex-Valued Kernel Methods for Regression. IEEE Trans. Signal Process. 65(19): 5240-5248 (2017) - [c57]Briland Hitaj, Giuseppe Ateniese, Fernando Pérez-Cruz:
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. CCS 2017: 603-618 - [i8]Briland Hitaj, Giuseppe Ateniese, Fernando Pérez-Cruz:
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. CoRR abs/1702.07464 (2017) - [i7]Briland Hitaj, Paolo Gasti, Giuseppe Ateniese, Fernando Pérez-Cruz:
PassGAN: A Deep Learning Approach for Password Guessing. CoRR abs/1709.00440 (2017) - 2016
- [j38]Melanie F. Pradier, Pablo M. Olmos, Fernando Pérez-Cruz:
Entropy-Constrained Scalar Quantization with a Lossy-Compressed Bit. Entropy 18(12): 449 (2016) - [j37]Isabel Valera, Francisco J. R. Ruiz, Pablo M. Olmos, Carlos Blanco, Fernando Pérez-Cruz:
Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis. Neural Comput. 28(2): 354-381 (2016) - [j36]Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz:
Infinite Factorial Unbounded-State Hidden Markov Model. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1816-1828 (2016) - [c56]Fernando Pérez-Cruz, Chih-Kuang Lin, Howard Huang:
BLADE: A Universal, Blind Learning Algorithm for ToA Localization in NLOS Channels. GLOBECOM Workshops 2016: 1-7 - [c55]Simon Yiu, Marzieh Dashti, Holger Claussen, Fernando Pérez-Cruz:
Locating user equipments and access points using RSSI fingerprints: A Gaussian process approach. ICC 2016: 1-6 - [i6]Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Irene Santos Velázquez, Fernando Pérez-Cruz:
Complex-Valued Kernel Methods for Regression. CoRR abs/1610.09915 (2016) - 2015
- [j35]Luis Salamanca, Juan José Murillo-Fuentes, Pablo M. Olmos, Fernando Pérez-Cruz, Sergio Verdú:
Approaching the DT Bound Using Linear Codes in the Short Blocklength Regime. IEEE Commun. Lett. 19(2): 123-126 (2015) - [j34]Pablo G. Moreno, Antonio Artés-Rodríguez, Yee Whye Teh, Fernando Pérez-Cruz:
Bayesian nonparametric crowdsourcing. J. Mach. Learn. Res. 16: 1607-1627 (2015) - [c54]Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz:
A Bayesian nonparametric approach for blind multiuser channel estimation. EUSIPCO 2015: 2766-2770 - [c53]Marzieh Dashti, Simon Yiu, Siamak Yousefi, Fernando Pérez-Cruz, Holger Claussen:
RSSI Localization with Gaussian Processes and Tracking. GLOBECOM Workshops 2015: 1-6 - [c52]Utku Günay Acer, Aidan Boran, Claudio Forlivesi, Werner Liekens, Fernando Pérez-Cruz, Fahim Kawsar:
Sensing WiFi network for personal IoT analytics. IOT 2015: 104-111 - [c51]Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz:
Infinite Factorial Dynamical Model. NIPS 2015: 1666-1674 - [c50]Jesse Read, Fernando Pérez-Cruz, Albert Bifet:
Deep learning in partially-labeled data streams. SAC 2015: 954-959 - [i5]Jesse Read, Fernando Pérez-Cruz:
Deep Learning for Multi-label Classification. CoRR abs/1502.05988 (2015) - 2014
- [j33]Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz:
Bayesian nonparametric comorbidity analysis of psychiatric disorders. J. Mach. Learn. Res. 15(1): 1215-1247 (2014) - [j32]Javier Cespedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz:
Expectation Propagation Detection for High-Order High-Dimensional MIMO Systems. IEEE Trans. Commun. 62(8): 2840-2849 (2014) - [j31]Camilo G. Taborda, Dongning Guo, Fernando Pérez-Cruz:
Information-Estimation Relationships Over Binomial and Negative Binomial Models. IEEE Trans. Inf. Theory 60(5): 2630-2646 (2014) - [j30]Ricardo Santiago-Mozos, Fernando Pérez-Cruz, Michael G. Madden, Antonio Artés-Rodríguez:
An Automated Screening System for Tuberculosis. IEEE J. Biomed. Health Informatics 18(3): 855-862 (2014) - [c49]Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz:
Sinfinite factorial unbounded hidden Markov model for blind multiuser channel estimation. CIP 2014: 1-6 - [c48]Javier Cespedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz:
Improved performance of LDPC-coded MIMO systems with EP-based soft-decisions. ISIT 2014: 1997-2001 - [c47]Camilo G. Taborda, Fernando Pérez-Cruz, Dongning Guo:
New information-estimation results for poisson, binomial and negative binomial models. ISIT 2014: 2207-2211 - [i4]Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz:
Bayesian nonparametric comorbidity analysis of psychiatric disorders. CoRR abs/1401.7620 (2014) - 2013
- [j29]Fernando Pérez-Cruz, Steven Van Vaerenbergh, Juan José Murillo-Fuentes, Miguel Lázaro-Gredilla, Ignacio Santamaría:
Gaussian Processes for Nonlinear Signal Processing: An Overview of Recent Advances. IEEE Signal Process. Mag. 30(4): 40-50 (2013) - [j28]Luis Salamanca, Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Tree Expectation Propagation for ML Decoding of LDPC Codes over the BEC. IEEE Trans. Commun. 61(2): 465-473 (2013) - [j27]Luis Salamanca, Pablo M. Olmos, Fernando Pérez-Cruz, Juan José Murillo-Fuentes:
Tree-Structured Expectation Propagation for LDPC Decoding over BMS Channels. IEEE Trans. Commun. 61(10): 4086-4095 (2013) - [j26]Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Tree-Structure Expectation Propagation for LDPC Decoding Over the BEC. IEEE Trans. Inf. Theory 59(6): 3354-3377 (2013) - [c46]Luis Salamanca, Juan José Murillo-Fuentes, Pablo M. Olmos, Fernando Pérez-Cruz:
Improving the BP estimate over the AWGN channel using Tree-structured expectation propagation. ISIT 2013: 2990-2994 - [i3]Fernando Pérez-Cruz, Steven Van Vaerenbergh, Juan José Murillo-Fuentes, Miguel Lázaro-Gredilla, Ignacio Santamaría:
Gaussian Processes for Nonlinear Signal Processing. CoRR abs/1303.2823 (2013) - 2012
- [j25]Pablo M. Olmos, Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
On the Design of LDPC-Convolutional Ensembles Using the TEP Decoder. IEEE Commun. Lett. 16(5): 726-729 (2012) - [j24]Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Bayesian Equalization for LDPC Channel Decoding. IEEE Trans. Signal Process. 60(5): 2672-2676 (2012) - [c45]Niamh O'Mahony, Fernando Pérez-Cruz:
A novel sequential Bayesian approach to GPS acquisition. CIP 2012: 1-6 - [c44]Camilo G. Taborda, Fernando Pérez-Cruz:
Mutual information and relative entropy over the Binomial and Negative Binomial channels. ISIT 2012: 696-700 - [c43]Pablo M. Olmos, Fernando Pérez-Cruz, Luis Salamanca, Juan José Murillo-Fuentes:
Finite-length analysis of the TEP decoder for LDPC ensembles over the BEC. ISIT 2012: 2346-2350 - [c42]Camilo G. Taborda, Fernando Pérez-Cruz:
Derivative of the relative entropy over the poisson and Binomial channel. ITW 2012: 386-390 - [c41]Pablo M. Olmos, Fernando Pérez-Cruz, Luis Salamanca, Juan José Murillo-Fuentes:
Finite-length performance of spatially-coupled LDPC codes under TEP decoding. ITW 2012: 492-496 - [c40]Luis Salamanca, Juan José Murillo-Fuentes, Pablo M. Olmos, Fernando Pérez-Cruz:
Tree-structured expectation propagation for LDPC decoding over the AWGN channel. MLSP 2012: 1-6 - [c39]Ignacio Santamaría, Jerónimo Arenas-García, Gustavo Camps-Valls, Deniz Erdogmus, Fernando Pérez-Cruz:
Preface. MLSP 2012: 1 - [c38]Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz:
Bayesian Nonparametric Modeling of Suicide Attempts. NIPS 2012: 1862-1870 - [i2]Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Tree-Structure Expectation Propagation for LDPC Decoding over the BEC. CoRR abs/1201.0715 (2012) - 2011
- [j23]Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Tree-Structured Expectation Propagation for Decoding Finite-Length LDPC Codes. IEEE Commun. Lett. 15(2): 235-237 (2011) - [j22]Devis Tuia, Jochem Verrelst, Luis Alonso-Chorda, Fernando Pérez-Cruz, Gustavo Camps-Valls:
Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation. IEEE Geosci. Remote. Sens. Lett. 8(4): 804-808 (2011) - [j21]Ricardo Santiago-Mozos, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Extended Input Space Support Vector Machine. IEEE Trans. Neural Networks 22(1): 158-163 (2011) - [c37]Sreechakra Goparaju, A. Robert Calderbank, William R. Carson, Miguel R. D. Rodrigues, Fernando Pérez-Cruz:
When to add another dimension when communicating over MIMO channels. ICASSP 2011: 3100-3103 - [c36]Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Capacity achieving LDPC ensembles for the TEP decoder in erasure channels. ISIT 2011: 2398-2402 - [c35]Luis Salamanca, Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
MAP decoding for LDPC codes over the binary erasure channel. ITW 2011: 145-149 - [c34]Francisco J. R. Ruiz, Fernando Pérez-Cruz:
Zero-error codes for the noisy-typewriter channel. ITW 2011: 495-497 - [c33]Pablo M. Olmos, Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
An Application of Tree-Structured Expectation Propagation for Channel Decoding. NIPS 2011: 1854-1862 - 2010
- [j20]Fernando Pérez-Cruz, Sanjeev R. Kulkarni:
Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks. IEEE Signal Process. Lett. 17(4): 355-358 (2010) - [j19]Maria Fresia, Fernando Pérez-Cruz, H. Vincent Poor, Sergio Verdú:
Joint Source and Channel Coding. IEEE Signal Process. Mag. 27(6): 104-113 (2010) - [j18]Fernando Pérez-Cruz, Miguel R. D. Rodrigues, Sergio Verdú:
MIMO Gaussian channels with arbitrary inputs: optimal precoding and power allocation. IEEE Trans. Inf. Theory 56(3): 1070-1084 (2010) - [j17]Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes. IEEE Trans. Signal Process. 58(3): 1183-1192 (2010) - [c32]Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Tree-structure expectation propagation for decoding LDPC codes over binary erasure channels. ISIT 2010: 799-803 - [c31]Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Channel decoding with a Bayesian equalizer. ISIT 2010: 1998-2002 - [i1]Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Channel Decoding with a Bayesian Equalizer. CoRR abs/1006.0795 (2010)
2000 – 2009
- 2009
- [j16]Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Gaussian process regressors for multiuser detection in DS-CDMA systems. IEEE Trans. Commun. 57(8): 2339-2347 (2009) - [c30]Pablo Martinez-Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Soft LDPC decoding in nonlinear channels with Gaussian processes for classification. EUSIPCO 2009: 1641-1645 - [c29]Maria Fresia, Fernando Pérez-Cruz, H. Vincent Poor:
Optimized concatenated LDPC codes for joint source-channel coding. ISIT 2009: 2131-2135 - [c28]Fernando Pérez-Cruz, Sanjeev R. Kulkarni:
Distributed least square for consensus building in sensor networks. ISIT 2009: 2877-2881 - 2008
- [j15]Fernando Pérez-Cruz, Juan José Murillo-Fuentes:
Digital Communication Receivers Using Gaussian Processes for Machine Learning. EURASIP J. Adv. Signal Process. 2008 (2008) - [j14]