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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
- 2024
[j51]Anna Klimovskaia Susmelj
, Berkan Lafci, Firat Ozdemir, Neda Davoudi, Xosé-Luís Dean-Ben, Fernando Pérez-Cruz, Daniel Razansky:
Signal domain adaptation network for limited-view optoacoustic tomography. Medical Image Anal. 91: 103012 (2024)- [j50]Dorjan Hitaj, Giulio Pagnotta, Briland Hitaj, Fernando Pérez-Cruz, Luigi V. Mancini:
FedComm: Federated Learning as a Medium for Covert Communication. IEEE Trans. Dependable Secur. Comput. 21(4): 1695-1707 (2024) - [i44]Simon Dirmeier, Ye Hong, Fernando Pérez-Cruz:
Synthetic location trajectory generation using categorical diffusion models. CoRR abs/2402.12242 (2024) - [i43]Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Sediola Ruko, Briland Hitaj, Luigi V. Mancini, Fernando Pérez-Cruz:
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem. CoRR abs/2403.03593 (2024) - [i42]Rushan Wang, Yanan Xin, Yatao Zhang, Fernando Pérez-Cruz, Martin Raubal:
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting. CoRR abs/2405.00456 (2024) - [i41]Markus Marks, Manuel Knott, Neehar Kondapaneni, Elijah Cole, Thijs Defraeye, Fernando Pérez-Cruz, Pietro Perona:
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification. CoRR abs/2407.12210 (2024) - 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) - [c70]Javier Rando, Fernando Pérez-Cruz, Briland Hitaj:
PassGPT: Password Modeling and (Guided) Generation with Large Language Models. ESORICS (4) 2023: 164-183 - [c69]Shirin Goshtasbpour, Victor Cohen, Fernando Pérez-Cruz:
Adaptive Annealed Importance Sampling with Constant Rate Progress. ICML 2023: 11642-11658 - [c68]Rok Roskar, Chandrasekhar Ramakrishnan, Michele Volpi, Fernando Pérez-Cruz, Lilian Gasser, Firat Ozdemir, Patrick Paitz, Mohammad Alisafaee, Philipp Fischer, Ralf Grubenmann, Eliza Harris, Tasko Olevski, Carl Remlinger, Luis Salamanca, Elisabet Capon Garcia, Lorenzo Cavazzi, Jakub Chrobasik, Darlin Cordoba Osnas, Alessandro Degano, Jimena Dupre, Wesley Johnson, Eike Kettner, Laura Kinkead, Sean D. Murphy, Flora Thiebaut, Olivier Verscheure:
Renku: a platform for sustainable data science. NeurIPS 2023 - [c67]Nora Schneider, Shirin Goshtasbpour, Fernando Pérez-Cruz:
Anchor Data Augmentation. NeurIPS 2023 - [i40]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) - [i39]Sichen Li, Jochem Snuverink, Fernando Pérez-Cruz, Andreas Adelmann:
Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression. CoRR abs/2303.08984 (2023) - [i38]Javier Rando, Fernando Pérez-Cruz, Briland Hitaj:
PassGPT: Password Modeling and (Guided) Generation with Large Language Models. CoRR abs/2306.01545 (2023) - [i37]Shirin Goshtasbpour, Victor Cohen, Fernando Pérez-Cruz:
Adaptive Annealed Importance Sampling with Constant Rate Progress. CoRR abs/2306.15283 (2023) - [i36]Simon Dirmeier, Carlo Albert, Fernando Pérez-Cruz:
Simulation-based inference using surjective sequential neural likelihood estimation. CoRR abs/2308.01054 (2023) - [i35]Simon Dirmeier, Ye Hong, Yanan Xin, Fernando Pérez-Cruz:
Uncertainty quantification and out-of-distribution detection using surjective normalizing flows. CoRR abs/2311.00377 (2023) - [i34]Simon Dirmeier, Fernando Pérez-Cruz:
Diffusion models for probabilistic programming. CoRR abs/2311.00474 (2023) - [i33]Gökberk Özsoy, Luis Salamanca, Matthew Connelly, Raymond Hicks, Fernando Pérez-Cruz:
KG-FRUS: a Novel Graph-based Dataset of 127 Years of US Diplomatic Relations. CoRR abs/2311.01606 (2023) - [i32]Nora Schneider, Shirin Goshtasbpour, Fernando Pérez-Cruz:
Anchor Data Augmentation. CoRR abs/2311.06965 (2023) - [i31]Ye Hong, Yanan Xin, Simon Dirmeier, Fernando Pérez-Cruz, Martin Raubal:
Revealing behavioral impact on mobility prediction networks through causal interventions. CoRR abs/2311.11749 (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]Fernando Pérez-Cruz, Juan José Murillo-Fuentes, Sebastian Caro:
Nonlinear Channel Equalization With Gaussian Processes for Regression. IEEE Trans. Signal Process. 56(10-2): 5283-5286 (2008) - [c27]Fernando Pérez-Cruz, Miguel R. D. Rodrigues, Sergio Verdú:
Optimal Precoding for Digital Subscriber Lines. ICC 2008: 1200-1204 - [c26]Ricardo Santiago-Mozos, Ramón Fernández-Lorenzana, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
On the uncertainty in sequential hypothesis testing. ISBI 2008: 1223-1226 - [c25]Fernando Pérez-Cruz:
Kullback-Leibler divergence estimation of continuous distributions. ISIT 2008: 1666-1670 - [c24]Miguel R. D. Rodrigues, Fernando Pérez-Cruz, Sergio Verdú:
Multiple-input multiple-output Gaussian channels: Optimal covariance for non-Gaussian inputs. ITW 2008: 445-449 - [c23]Fernando Pérez-Cruz:
Estimation of Information Theoretic Measures for Continuous Random Variables. NIPS 2008: 1257-1264 - 2007
- [j13]Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, N. Víctor Jiménez:
Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines. IEEE Trans. Syst. Man Cybern. Part C 37(3): 359-372 (2007) - 2006
- [c22]Sebastian Caro, Fernando Pérez-Cruz, Juan José Murillo-Fuentes:
Gaussian Processes for regression in channel equalization. EUSIPCO 2006: 1-5 - [c21]Fernando Pérez-Cruz, Juan José Murillo-Fuentes:
Gaussian Processes for Digital Communications. ICASSP (5) 2006: 781-784 - 2005
- [j12]Marcelino Lázaro, Ignacio Santamaría, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives. Neurocomputing 69(1-3): 42-61 (2005) - [j11]Fernando Pérez-Cruz, Carlos Bousoño-Calzón, Antonio Artés-Rodríguez:
Convergence of the IRWLS Procedure to the Support Vector Machine Solution. Neural Comput. 17(1): 7-18 (2005) - [j10]Marcelino Lázaro, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Learning a function and its derivative forcing the support vector expansion. IEEE Signal Process. Lett. 12(3): 194-197 (2005) - [c20]Juan José Murillo-Fuentes, Sebastian Caro, Fernando Pérez-Cruz:
Gaussian Processes for Multiuser Detection in CDMA receivers. NIPS 2005: 939-946 - 2004
- [j9]Sancho Salcedo-Sanz, Mario de Prado-Cumplido, María Jesús Segovia-Vargas, Fernando Pérez-Cruz, Carlos Bousoño-Calzón:
Feature selection methods involving support vector machines for prediction of insolvency in non-life insurance companies. Intell. Syst. Account. Finance Manag. 12(4): 261-281 (2004) - [j8]Fernando Pérez-Cruz, Olivier Bousquet:
Kernel methods and their potential use in signal processing. IEEE Signal Process. Mag. 21(3): 57-65 (2004) - [j7]Sancho Salcedo-Sanz, Gustavo Camps-Valls, Fernando Pérez-Cruz, José Sepúlveda-Sanchis, Carlos Bousoño-Calzón:
Enhancing genetic feature selection through restricted search and Walsh analysis. IEEE Trans. Syst. Man Cybern. Part C 34(4): 398-406 (2004) - [j6]Matilde Sánchez Fernández, Mario de Prado-Cumplido, Jerónimo Arenas-García, Fernando Pérez-Cruz:
SVM multiregression for nonlinear channel estimation in multiple-input multiple-output systems. IEEE Trans. Signal Process. 52(8): 2298-2307 (2004) - [j5]Ángel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal:
Advantages of Unbiased Support Vector Classifiers for Data Mining Applications. J. VLSI Signal Process. 37(2-3): 223-235 (2004) - [c19]Fernando Pérez-Cruz, Marcelino Lázaro, Antonio Artés-Rodríguez:
Multidimensional SVM to include the samples of the derivatives in the reconstruction of a function. EUSIPCO 2004: 597-600 - [c18]José Miguel García-Cabellos, Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, Fernando Pérez-Cruz, Fernando Díaz-de-María:
SVM classifiers for ASR: A discussion about parameterization. EUSIPCO 2004: 2067-2070 - 2003
- [j4]Jason Weston, Fernando Pérez-Cruz, Olivier Bousquet, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf:
Feature selection and transduction for prediction of molecular bioactivity for drug design. Bioinform. 19(6): 764-771 (2003) - [j3]Fernando Pérez-Cruz, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
Empirical risk minimization for support vector classifiers. IEEE Trans. Neural Networks 14(2): 296-303 (2003) - [c17]Ricardo Santiago-Mozos, José M. Leiva-Murillo, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Supervised-PCA and SVM Classifiers for Object Detection in Infrared Images. AVSS 2003: 122- - [c16]Jerónimo Arenas-García, Fernando Pérez-Cruz:
Multi-class support vector machines: a new approach. ICASSP (2) 2003: 781-784 - [c15]Olivier Bousquet, Fernando Pérez-Cruz:
Kernel methods and their applications to signal processing. ICASSP (4) 2003: 860-863 - [c14]Marcelino Lázaro, Ignacio Santamaría, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Support vector machine for the simultaneous approximation of a function and its derivative. NNSP 2003: 189-198 - [c13]Ramón Fernández-Lorenzana, Fernando Pérez-Cruz, José Miguel García-Cabellos, Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, Fernando Díaz-de-María:
Some experiments on speaker-independent isolated digit recognition using SVM classifiers. NOLISP 2003: 28 - 2002
- [c12]Roberto Gil-Pita, Manuel Rosa-Zurera, Fernando Pérez-Cruz:
Improving lossy image compression Wavelet transform based algorithms by predicting discarded coefficients. EUSIPCO 2002: 1-4 - [c11]Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Adaptive SVC for nonlinear channel equalization. EUSIPCO 2002: 1-4 - [c10]Sancho Salcedo-Sanz, Mario de Prado-Cumplido, Fernando Pérez-Cruz, Carlos Bousoño-Calzón:
Feature Selection via Genetic Optimization. ICANN 2002: 547-552 - [c9]Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Puncturing Multi-class Support Vector Machines. ICANN 2002: 751-756 - [c8]Fernando Pérez-Cruz, Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
Multi-dimensional Function Approximation and Regression Estimation. ICANN 2002: 757-762 - 2001
- [j2]Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez:
SVC-based equalizer for burst TDMA transmissions. Signal Process. 81(8): 1681-1693 (2001) - [j1]Ángel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal:
Weighted least squares training of support vector classifiers leading to compact and adaptive schemes. IEEE Trans. Neural Networks 12(5): 1047-1059 (2001) - [c7]Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
A new optimizing procedure for ν-support vector regressor. ICASSP 2001: 1265-1268 - 2000
- [c6]Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez:
An IRWLS procedure for SVR. EUSIPCO 2000: 1-4 - [c5]Fernando Pérez-Cruz, Ángel Navia-Vázquez, Pedro Luis Alarcón-Diana, Antonio Artés-Rodríguez:
Support vector classifier with hyperbolic tangent penalty function. ICASSP 2000: 3458-3461 - [c4]Fernando Pérez-Cruz, Pedro Luis Alarcón-Diana, Ángel Navia-Vázquez, Antonio Artés-Rodríguez:
Fast Training of Support Vector Classifiers. NIPS 2000: 734-740
1990 – 1999
- 1998
- [c3]Francisco Javier González-Serrano, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Reduced-complexity decision-feedback equalizer for nonlinear channels. EUSIPCO 1998: 1-4 - 1993
- [c2]Fernando Pérez-Cruz, Domingo Docampo, Antonio Artés, Chaouki T. Abdallah:
Feasibility analysis of channel equalizers using Kharitonov-type results. ICASSP (3) 1993: 579-582 - 1992
- [c1]Domingo Docampo, Victoria Abreu-Sernández, Fernando Pérez-Cruz, Francisco González:
A deconvolution-based efficient method for generating the excitation in linear predictive speech coding. ICASSP 1992: 341-344
Coauthor Index
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