Fernando Pérez-Cruz

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 60

Top Venues

Publications

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 (2024)
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) (2024)
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 (2024)
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 (2024)
Rushan Wang, Yanan Xin, Yatao Zhang, Fernando Pérez-Cruz, Martin Raubal
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting. CoRR (2024)
Simon Dirmeier, Ye Hong, Fernando Pérez-Cruz
Synthetic location trajectory generation using categorical diffusion models. CoRR (2024)
Javier Rando, Fernando Pérez-Cruz, Briland Hitaj
PassGPT: Password Modeling and (Guided) Generation with Large Language Models. CoRR (2023)
Nora Schneider, Shirin Goshtasbpour, Fernando Pérez-Cruz
Anchor Data Augmentation. CoRR (2023)
Ye Hong, Yanan Xin, Simon Dirmeier, Fernando Pérez-Cruz, Martin Raubal
Revealing behavioral impact on mobility prediction networks through causal interventions. CoRR (2023)
Nora Schneider, Shirin Goshtasbpour, Fernando Pérez-Cruz
Anchor Data Augmentation. NeurIPS (2023)
Simon Dirmeier, Fernando Pérez-Cruz
Diffusion models for probabilistic programming. CoRR (2023)
Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
Enhancing diversity in GANs via non-uniform sampling. Inf. Sci. 637 (2023)
Javier Rando, Fernando Pérez-Cruz, Briland Hitaj
PassGPT: Password Modeling and (Guided) Generation with Large Language Models. ESORICS (4) (2023)
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 (2023)
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)
Aurora Cobo Aguilera, Pablo M. Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz
Regularizing transformers with deep probabilistic layers. Neural Networks 161 (2023)
Sichen Li, Jochem Snuverink, Fernando Pérez-Cruz, Andreas Adelmann
Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression. CoRR (2023)
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 (2023)
Shirin Goshtasbpour, Victor Cohen, Fernando Pérez-Cruz
Adaptive Annealed Importance Sampling with Constant Rate Progress. CoRR (2023)
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)
Simon Dirmeier, Ye Hong, Yanan Xin, Fernando Pérez-Cruz
Uncertainty quantification and out-of-distribution detection using surjective normalizing flows. CoRR (2023)
Shirin Goshtasbpour, Victor Cohen, Fernando Pérez-Cruz
Adaptive Annealed Importance Sampling with Constant Rate Progress. ICML (2023)
Simon Dirmeier, Carlo Albert, Fernando Pérez-Cruz
Simulation-based inference using surjective sequential neural likelihood estimation. CoRR (2023)
Muhammad Awais Jadoon, Adriano Pastore, Monica Navarro, Fernando Pérez-Cruz
Deep Reinforcement Learning for Random Access in Machine-Type Communication. WCNC (2022)
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 (2022)
Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi
What You See is What You Classify: Black Box Attributions. CoRR (2022)
Michael Minyi Zhang, Sinead A. Williamson, Fernando Pérez-Cruz
Accelerated parallel non-conjugate sampling for Bayesian non-parametric models. Stat. Comput. 32 (3) (2022)
Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi
What You See is What You Classify: Black Box Attributions. NeurIPS (2022)
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)
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 (2022)
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 (2021)
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 (2021)
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) (2021)
Aurora Cobo Aguilera, Pablo Martinez-Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz
Regularizing Transformers With Deep Probabilistic Layers. CoRR (2021)
Aurora Cobo Aguilera, Antonio Artés-Rodríguez, Fernando Pérez-Cruz, Pablo Martinez-Olmos
Robust Sampling in Deep Learning. CoRR (2020)
Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
Improved BiGAN training with marginal likelihood equalization. CoRR (2019)
Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang
Probabilistic Time of Arrival Localization. IEEE Signal Process. Lett. 26 (11) (2019)
Briland Hitaj, Paolo Gasti, Giuseppe Ateniese, Fernando Pérez-Cruz
PassGAN: A Deep Learning Approach for Password Guessing. ACNS (2019)
Stefan G. Stark, Stephanie L. Hyland, Melanie Fernandes Pradier, Kjong Lehmann, Andreas Wicki, Fernando Pérez-Cruz, Julia E. Vogt, Gunnar Rätsch
Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies. CoRR (2019)
Javier Céspedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz
Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference. CoRR (2019)
Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang
Probabilistic Time of Arrival Localization. CoRR (2019)
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)
Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
Out-of-Sample Testing for GANs. CoRR (2019)
Melanie F. Pradier, Viktor Stojkoski, Zoran Utkovski, Ljupco Kocarev, Fernando Pérez-Cruz
Sparse Three-parameter Restricted Indian Buffet Process for Understanding International Trade. CoRR (2018)
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)
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) (2018)
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) (2018)
Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz
Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. CoRR (2018)
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) (2018)
Briland Hitaj, Giuseppe Ateniese, Fernando Pérez-Cruz
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. CoRR (2017)
Simon Yiu, Marzieh Dashti, Holger Claussen, Fernando Pérez-Cruz
Wireless RSSI fingerprinting localization. Signal Process. 131 (2017)
Briland Hitaj, Giuseppe Ateniese, Fernando Pérez-Cruz
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. CCS (2017)
Briland Hitaj, Paolo Gasti, Giuseppe Ateniese, Fernando Pérez-Cruz
PassGAN: A Deep Learning Approach for Password Guessing. CoRR (2017)
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) (2017)
Fernando Pérez-Cruz, Chih-Kuang Lin, Howard Huang
BLADE: A Universal, Blind Learning Algorithm for ToA Localization in NLOS Channels. GLOBECOM Workshops (2016)
Simon Yiu, Marzieh Dashti, Holger Claussen, Fernando Pérez-Cruz
Locating user equipments and access points using RSSI fingerprints: A Gaussian process approach. ICC (2016)
Melanie F. Pradier, Pablo M. Olmos, Fernando Pérez-Cruz
Entropy-Constrained Scalar Quantization with a Lossy-Compressed Bit. Entropy 18 (12) (2016)
Rafael Boloix-Tortosa, Juan José Murillo-Fuentes, Irene Santos Velázquez, Fernando Pérez-Cruz
Complex-Valued Kernel Methods for Regression. CoRR (2016)
Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz
Infinite Factorial Unbounded-State Hidden Markov Model. IEEE Trans. Pattern Anal. Mach. Intell. 38 (9) (2016)
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) (2016)
Jesse Read, Fernando Pérez-Cruz
Deep Learning for Multi-label Classification. CoRR (2015)
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) (2015)
Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz
Infinite Factorial Dynamical Model. NIPS (2015)
Marzieh Dashti, Simon Yiu, Siamak Yousefi, Fernando Pérez-Cruz, Holger Claussen
RSSI Localization with Gaussian Processes and Tracking. GLOBECOM Workshops (2015)
Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz
A Bayesian nonparametric approach for blind multiuser channel estimation. EUSIPCO (2015)
Utku Günay Acer, Aidan Boran, Claudio Forlivesi, Werner Liekens, Fernando Pérez-Cruz, Fahim Kawsar
Sensing WiFi network for personal IoT analytics. IOT (2015)
Pablo G. Moreno, Antonio Artés-Rodríguez, Yee Whye Teh, Fernando Pérez-Cruz
Bayesian nonparametric crowdsourcing. J. Mach. Learn. Res. 16 (2015)
Jesse Read, Fernando Pérez-Cruz, Albert Bifet
Deep learning in partially-labeled data streams. SAC (2015)
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) (2014)
Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz
Bayesian nonparametric comorbidity analysis of psychiatric disorders. J. Mach. Learn. Res. 15 (1) (2014)
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) (2014)
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)
Camilo G. Taborda, Fernando Pérez-Cruz, Dongning Guo
New information-estimation results for poisson, binomial and negative binomial models. ISIT (2014)
Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz
Bayesian nonparametric comorbidity analysis of psychiatric disorders. CoRR (2014)
Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz
Sinfinite factorial unbounded hidden Markov model for blind multiuser channel estimation. CIP (2014)
Camilo G. Taborda, Dongning Guo, Fernando Pérez-Cruz
Information-Estimation Relationships Over Binomial and Negative Binomial Models. IEEE Trans. Inf. Theory 60 (5) (2014)
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) (2013)
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) (2013)
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) (2013)
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)
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) (2013)
Fernando Pérez-Cruz, Steven Van Vaerenbergh, Juan José Murillo-Fuentes, Miguel Lázaro-Gredilla, Ignacio Santamaría
Gaussian Processes for Nonlinear Signal Processing CoRR (2013)
Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz
Bayesian Nonparametric Modeling of Suicide Attempts. NIPS (2012)
Camilo G. Taborda, Fernando Pérez-Cruz
Derivative of the relative entropy over the poisson and Binomial channel. ITW (2012)
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)
Camilo G. Taborda, Fernando Pérez-Cruz
Mutual information and relative entropy over the Binomial and Negative Binomial channels. ISIT (2012)
Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
Bayesian Equalization for LDPC Channel Decoding. IEEE Trans. Signal Process. 60 (5) (2012)
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)
Ignacio Santamaría, Jerónimo Arenas-García, Gustavo Camps-Valls, Deniz Erdogmus, Fernando Pérez-Cruz
Preface. MLSP (2012)
Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
Tree-Structure Expectation Propagation for LDPC Decoding over the BEC CoRR (2012)
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)
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) (2012)
Niamh O'Mahony, Fernando Pérez-Cruz
A novel sequential Bayesian approach to GPS acquisition. CIP (2012)
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)
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) (2011)
Ricardo Santiago-Mozos, Fernando Pérez-Cruz, Antonio Artés-Rodríguez
Extended Input Space Support Vector Machine. IEEE Trans. Neural Networks 22 (1) (2011)
Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
Capacity achieving LDPC ensembles for the TEP decoder in erasure channels. ISIT (2011)
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) (2011)
Pablo M. Olmos, Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
An Application of Tree-Structured Expectation Propagation for Channel Decoding. NIPS (2011)
Luis Salamanca, Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
MAP decoding for LDPC codes over the binary erasure channel. ITW (2011)

Fernando Pérez-Cruz.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Fernando Pérez-Cruz