A deconvolution-based efficient method for generating the excitation in linear predictive speech coding. - Domingo Docampo; Victoria Abreu-Sernández; Fernando Pérez-Cruz; Francisco González (ICASSP, 1992)

Feasibility analysis of channel equalizers using Kharitonov-type results. - Fernando Pérez-Cruz; Domingo Docampo; Antonio Artés; Chaouki T. Abdallah (ICASSP (3), 1993)

Reduced-complexity decision-feedback equalizer for nonlinear channels. - Francisco Javier González-Serrano; Fernando Pérez-Cruz; Antonio Artés-Rodríguez (EUSIPCO, 1998)

An IRWLS procedure for SVR. - Fernando Pérez-Cruz; Ángel Navia-Vázquez; Pedro Luis Alarcón-Diana; Antonio Artés-Rodríguez (EUSIPCO, 2000)

Support vector classifier with hyperbolic tangent penalty function. - Fernando Pérez-Cruz; Ángel Navia-Vázquez; Pedro Luis Alarcón-Diana; Antonio Artés-Rodríguez (ICASSP, 2000)

Fast Training of Support Vector Classifiers. - Fernando Pérez-Cruz; Pedro Luis Alarcón-Diana; Ángel Navia-Vázquez; Antonio Artés-Rodríguez (NIPS, 2000)

A new optimizing procedure for ν-support vector regressor. - Fernando Pérez-Cruz; Antonio Artés-Rodríguez (ICASSP, 2001)

SVC-based equalizer for burst TDMA transmissions. - Fernando Pérez-Cruz; Ángel Navia-Vázquez; Pedro Luis Alarcón-Diana; Antonio Artés-Rodríguez (Signal Process., 2001)

Weighted least squares training of support vector classifiers leading to compact and adaptive schemes. - Ángel Navia-Vázquez; Fernando Pérez-Cruz; Antonio Artés-Rodríguez; Aníbal R. Figueiras-Vidal (IEEE Trans. Neural Networks, 2001)

Improving lossy image compression Wavelet transform based algorithms by predicting discarded coefficients. - Roberto Gil-Pita; Manuel Rosa-Zurera; Fernando Pérez-Cruz (EUSIPCO, 2002)

Adaptive SVC for nonlinear channel equalization. - Fernando Pérez-Cruz; Antonio Artés-Rodríguez (EUSIPCO, 2002)

Puncturing Multi-class Support Vector Machines. - Fernando Pérez-Cruz; Antonio Artés-Rodríguez (ICANN, 2002)

Multi-dimensional Function Approximation and Regression Estimation. - Fernando Pérez-Cruz; Gustavo Camps-Valls; Emilio Soria-Olivas; Juan José Pérez-Ruixo; Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez (ICANN, 2002)

Feature Selection via Genetic Optimization. - Sancho Salcedo-Sanz; Mario de Prado-Cumplido; Fernando Pérez-Cruz; Carlos Bousoño-Calzón (ICANN, 2002)

Supervised-PCA and SVM Classifiers for Object Detection in Infrared Images. - Ricardo Santiago-Mozos; José M. Leiva-Murillo; Fernando Pérez-Cruz; Antonio Artés-Rodríguez (AVSS, 2003)

Multi-class support vector machines: a new approach. - Jerónimo Arenas-García; Fernando Pérez-Cruz (ICASSP (2), 2003)

Kernel methods and their applications to signal processing. - Olivier Bousquet; Fernando Pérez-Cruz (ICASSP (4), 2003)

Support vector machine for the simultaneous approximation of a function and its derivative. - Marcelino Lázaro; Ignacio Santamaría; Fernando Pérez-Cruz; Antonio Artés-Rodríguez (NNSP, 2003)

Some experiments on speaker-independent isolated digit recognition using SVM classifiers. - Ramón Fernández-Lorenzana; Fernando Pérez-Cruz; José Miguel García-Cabellos; Carmen Peláez-Moreno; Ascensión Gallardo-Antolín; Fernando Díaz-de-María (NOLISP, 2003)

Feature selection and transduction for prediction of molecular bioactivity for drug design. - Jason Weston; Fernando Pérez-Cruz; Olivier Bousquet; Olivier Chapelle; André Elisseeff; Bernhard Schölkopf (Bioinform., 2003)

Empirical risk minimization for support vector classifiers. - Fernando Pérez-Cruz; Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez (IEEE Trans. Neural Networks, 2003)

SVM classifiers for ASR: A discussion about parameterization. - José Miguel García-Cabellos; Carmen Peláez-Moreno; Ascensión Gallardo-Antolín; Fernando Pérez-Cruz; Fernando Díaz-de-María (EUSIPCO, 2004)

Multidimensional SVM to include the samples of the derivatives in the reconstruction of a function. - Fernando Pérez-Cruz; Marcelino Lázaro; Antonio Artés-Rodríguez (EUSIPCO, 2004)

Speeding up the IRWLS convergence to the SVM solution. - Fernando Pérez-Cruz; Antonio Artés-Rodríguez (IJCNN, 2004)

Feature selection methods involving support vector machines for prediction of insolvency in non-life insurance companies. - Sancho Salcedo-Sanz; Mario de Prado-Cumplido; María Jesús Segovia-Vargas; Fernando Pérez-Cruz; Carlos Bousoño-Calzón (Intell. Syst. Account. Finance Manag., 2004)

Kernel methods and their potential use in signal processing. - Fernando Pérez-Cruz; Olivier Bousquet (IEEE Signal Process. Mag., 2004)

Enhancing genetic feature selection through restricted search and Walsh analysis. - Sancho Salcedo-Sanz; Gustavo Camps-Valls; Fernando Pérez-Cruz; José Sepúlveda-Sanchis; Carlos Bousoño-Calzón (IEEE Trans. Syst. Man Cybern. Part C, 2004)

SVM multiregression for nonlinear channel estimation in multiple-input multiple-output systems. - Matilde Sánchez Fernández; Mario de Prado-Cumplido; Jerónimo Arenas-García; Fernando Pérez-Cruz (IEEE Trans. Signal Process., 2004)

Advantages of Unbiased Support Vector Classifiers for Data Mining Applications. - Ángel Navia-Vázquez; Fernando Pérez-Cruz; Antonio Artés-Rodríguez; Aníbal R. Figueiras-Vidal (J. VLSI Signal Process., 2004)

Gaussian Processes for Multiuser Detection in CDMA receivers. - Juan José Murillo-Fuentes; Sebastian Caro; Fernando Pérez-Cruz (NIPS, 2005)

Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives. - Marcelino Lázaro; Ignacio Santamaría; Fernando Pérez-Cruz; Antonio Artés-Rodríguez (Neurocomputing, 2005)

Convergence of the IRWLS Procedure to the Support Vector Machine Solution. - Fernando Pérez-Cruz; Carlos Bousoño-Calzón; Antonio Artés-Rodríguez (Neural Comput., 2005)

Learning a function and its derivative forcing the support vector expansion. - Marcelino Lázaro; Fernando Pérez-Cruz; Antonio Artés-Rodríguez (IEEE Signal Process. Lett., 2005)

Gaussian Processes for regression in channel equalization. - Sebastian Caro; Fernando Pérez-Cruz; Juan José Murillo-Fuentes (EUSIPCO, 2006)

Gaussian Processes for Digital Communications. - Fernando Pérez-Cruz; Juan José Murillo-Fuentes (ICASSP (5), 2006)

Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines. - Gustavo Camps-Valls; Emilio Soria-Olivas; Juan José Pérez-Ruixo; Fernando Pérez-Cruz; Antonio Artés-Rodríguez; N. Víctor Jiménez (IEEE Trans. Syst. Man Cybern. Part C, 2007)

Optimal Precoding for Digital Subscriber Lines. - Fernando Pérez-Cruz; Miguel R. D. Rodrigues; Sergio Verdú (ICC, 2008)

On the uncertainty in sequential hypothesis testing. - Ricardo Santiago-Mozos; Ramón Fernández-Lorenzana; Fernando Pérez-Cruz; Antonio Artés-Rodríguez (ISBI, 2008)

Kullback-Leibler divergence estimation of continuous distributions. - Fernando Pérez-Cruz (ISIT, 2008)

Multiple-input multiple-output Gaussian channels: Optimal covariance for non-Gaussian inputs. - Miguel R. D. Rodrigues; Fernando Pérez-Cruz; Sergio Verdú (ITW, 2008)

Estimation of Information Theoretic Measures for Continuous Random Variables. - Fernando Pérez-Cruz (NIPS, 2008)

Digital Communication Receivers Using Gaussian Processes for Machine Learning. - Fernando Pérez-Cruz; Juan José Murillo-Fuentes (EURASIP J. Adv. Signal Process., 2008)

Nonlinear Channel Equalization With Gaussian Processes for Regression. - Fernando Pérez-Cruz; Juan José Murillo-Fuentes; Sebastian Caro (IEEE Trans. Signal Process., 2008)

Soft LDPC decoding in nonlinear channels with Gaussian processes for classification. - Pablo Martinez-Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (EUSIPCO, 2009)

Optimized concatenated LDPC codes for joint source-channel coding. - Maria Fresia; Fernando Pérez-Cruz; H. Vincent Poor (ISIT, 2009)

Distributed least square for consensus building in sensor networks. - Fernando Pérez-Cruz; Sanjeev R. Kulkarni (ISIT, 2009)

Gaussian process regressors for multiuser detection in DS-CDMA systems. - Juan José Murillo-Fuentes; Fernando Pérez-Cruz (IEEE Trans. Commun., 2009)

Tree-structure expectation propagation for decoding LDPC codes over binary erasure channels. - Pablo M. Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (ISIT, 2010)

Channel decoding with a Bayesian equalizer. - Luis Salamanca; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (ISIT, 2010)

Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks. - Fernando Pérez-Cruz; Sanjeev R. Kulkarni (IEEE Signal Process. Lett., 2010)

Joint Source and Channel Coding. - Maria Fresia; Fernando Pérez-Cruz; H. Vincent Poor; Sergio Verdú (IEEE Signal Process. Mag., 2010)

MIMO Gaussian channels with arbitrary inputs: optimal precoding and power allocation. - Fernando Pérez-Cruz; Miguel R. D. Rodrigues; Sergio Verdú (IEEE Trans. Inf. Theory, 2010)

Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes. - Pablo M. Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (IEEE Trans. Signal Process., 2010)

When to add another dimension when communicating over MIMO channels. - Sreechakra Goparaju; A. Robert Calderbank; William R. Carson; Miguel R. D. Rodrigues; Fernando Pérez-Cruz (ICASSP, 2011)

Capacity achieving LDPC ensembles for the TEP decoder in erasure channels. - Pablo M. Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (ISIT, 2011)

Zero-error codes for the noisy-typewriter channel. - Francisco J. R. Ruiz; Fernando Pérez-Cruz (ITW, 2011)

MAP decoding for LDPC codes over the binary erasure channel. - Luis Salamanca; Pablo M. Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (ITW, 2011)

An Application of Tree-Structured Expectation Propagation for Channel Decoding. - Pablo M. Olmos; Luis Salamanca; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (NIPS, 2011)

Tree-Structured Expectation Propagation for Decoding Finite-Length LDPC Codes. - Pablo M. Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (IEEE Commun. Lett., 2011)

Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation. - Devis Tuia; Jochem Verrelst; Luis Alonso-Chorda; Fernando Pérez-Cruz; Gustavo Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2011)

Extended Input Space Support Vector Machine. - Ricardo Santiago-Mozos; Fernando Pérez-Cruz; Antonio Artés-Rodríguez (IEEE Trans. Neural Networks, 2011)

A novel sequential Bayesian approach to GPS acquisition. - Niamh O'Mahony; Fernando Pérez-Cruz (CIP, 2012)

Finite-length analysis of the TEP decoder for LDPC ensembles over the BEC. - Pablo M. Olmos; Fernando Pérez-Cruz; Luis Salamanca; Juan José Murillo-Fuentes (ISIT, 2012)

Mutual information and relative entropy over the Binomial and Negative Binomial channels. - Camilo G. Taborda; Fernando Pérez-Cruz (ISIT, 2012)

Finite-length performance of spatially-coupled LDPC codes under TEP decoding. - Pablo M. Olmos; Fernando Pérez-Cruz; Luis Salamanca; Juan José Murillo-Fuentes (ITW, 2012)

Derivative of the relative entropy over the poisson and Binomial channel. - Camilo G. Taborda; Fernando Pérez-Cruz (ITW, 2012)

Tree-structured expectation propagation for LDPC decoding over the AWGN channel. - Luis Salamanca; Juan José Murillo-Fuentes; Pablo M. Olmos; Fernando Pérez-Cruz (MLSP, 2012)

Preface. - Ignacio Santamaría; Jerónimo Arenas-García; Gustavo Camps-Valls; Deniz Erdogmus; Fernando Pérez-Cruz (MLSP, 2012)

Bayesian Nonparametric Modeling of Suicide Attempts. - Francisco J. R. Ruiz; Isabel Valera; Carlos Blanco 002; Fernando Pérez-Cruz (NIPS, 2012)

On the Design of LDPC-Convolutional Ensembles Using the TEP Decoder. - Pablo M. Olmos; Luis Salamanca; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (IEEE Commun. Lett., 2012)

Bayesian Equalization for LDPC Channel Decoding. - Luis Salamanca; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (IEEE Trans. Signal Process., 2012)

Improving the BP estimate over the AWGN channel using Tree-structured expectation propagation. - Luis Salamanca; Juan José Murillo-Fuentes; Pablo M. Olmos; Fernando Pérez-Cruz (ISIT, 2013)

Gaussian Processes for Nonlinear Signal Processing - Fernando Pérez-Cruz; Steven Van Vaerenbergh; Juan José Murillo-Fuentes; Miguel Lázaro-Gredilla; Ignacio Santamaría (CoRR, 2013)

Gaussian Processes for Nonlinear Signal Processing: An Overview of Recent Advances. - Fernando Pérez-Cruz; Steven Van Vaerenbergh; Juan José Murillo-Fuentes; Miguel Lázaro-Gredilla; Ignacio Santamaría (IEEE Signal Process. Mag., 2013)

Tree Expectation Propagation for ML Decoding of LDPC Codes over the BEC. - Luis Salamanca; Pablo M. Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (IEEE Trans. Commun., 2013)

Tree-Structured Expectation Propagation for LDPC Decoding over BMS Channels. - Luis Salamanca; Pablo M. Olmos; Fernando Pérez-Cruz; Juan José Murillo-Fuentes (IEEE Trans. Commun., 2013)

Tree-Structure Expectation Propagation for LDPC Decoding Over the BEC. - Pablo M. Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (IEEE Trans. Inf. Theory, 2013)

Sinfinite factorial unbounded hidden Markov model for blind multiuser channel estimation. - Isabel Valera; Francisco J. R. Ruiz; Fernando Pérez-Cruz (CIP, 2014)

Improved performance of LDPC-coded MIMO systems with EP-based soft-decisions. - Javier Cespedes; Pablo M. Olmos; Matilde Sánchez Fernández; Fernando Pérez-Cruz (ISIT, 2014)

New information-estimation results for poisson, binomial and negative binomial models. - Camilo G. Taborda; Fernando Pérez-Cruz; Dongning Guo (ISIT, 2014)

Bayesian nonparametric comorbidity analysis of psychiatric disorders. - Francisco J. R. Ruiz; Isabel Valera; Carlos Blanco 002; Fernando Pérez-Cruz (J. Mach. Learn. Res., 2014)

Expectation Propagation Detection for High-Order High-Dimensional MIMO Systems. - Javier Cespedes; Pablo M. Olmos; Matilde Sánchez Fernández; Fernando Pérez-Cruz (IEEE Trans. Commun., 2014)

Information-Estimation Relationships Over Binomial and Negative Binomial Models. - Camilo G. Taborda; Dongning Guo; Fernando Pérez-Cruz (IEEE Trans. Inf. Theory, 2014)

An Automated Screening System for Tuberculosis. - Ricardo Santiago-Mozos; Fernando Pérez-Cruz; Michael G. Madden; Antonio Artés-Rodríguez (IEEE J. Biomed. Health Informatics, 2014)

A Bayesian nonparametric approach for blind multiuser channel estimation. - Isabel Valera; Francisco J. R. Ruiz; Lennart Svensson; Fernando Pérez-Cruz (EUSIPCO, 2015)

RSSI Localization with Gaussian Processes and Tracking. - Marzieh Dashti; Simon Yiu; Siamak Yousefi; Fernando Pérez-Cruz; Holger Claussen 001 (GLOBECOM Workshops, 2015)

Sensing WiFi network for personal IoT analytics. - Utku Günay Acer; Aidan Boran; Claudio Forlivesi; Werner Liekens; Fernando Pérez-Cruz; Fahim Kawsar (IOT, 2015)

Infinite Factorial Dynamical Model. - Isabel Valera; Francisco J. R. Ruiz; Lennart Svensson; Fernando Pérez-Cruz (NIPS, 2015)

Deep learning in partially-labeled data streams. - Jesse Read; Fernando Pérez-Cruz; Albert Bifet (SAC, 2015)

Deep Learning for Multi-label Classification. - Jesse Read; Fernando Pérez-Cruz (CoRR, 2015)

Approaching the DT Bound Using Linear Codes in the Short Blocklength Regime. - Luis Salamanca; Juan José Murillo-Fuentes; Pablo M. Olmos; Fernando Pérez-Cruz; Sergio Verdú (IEEE Commun. Lett., 2015)

Bayesian nonparametric crowdsourcing. - Pablo G. Moreno; Antonio Artés-Rodríguez; Yee Whye Teh; Fernando Pérez-Cruz (J. Mach. Learn. Res., 2015)

BLADE: A Universal, Blind Learning Algorithm for ToA Localization in NLOS Channels. - Fernando Pérez-Cruz; Chih-Kuang Lin; Howard Huang (GLOBECOM Workshops, 2016)

Locating user equipments and access points using RSSI fingerprints: A Gaussian process approach. - Simon Yiu; Marzieh Dashti; Holger Claussen 001; Fernando Pérez-Cruz (ICC, 2016)

Complex-Valued Kernel Methods for Regression. - Rafael Boloix-Tortosa; Juan José Murillo-Fuentes; Irene Santos Velázquez; Fernando Pérez-Cruz (CoRR, 2016)

Entropy-Constrained Scalar Quantization with a Lossy-Compressed Bit. - Melanie F. Pradier; Pablo M. Olmos; Fernando Pérez-Cruz (Entropy, 2016)

Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis. - Isabel Valera; Francisco J. R. Ruiz; Pablo M. Olmos; Carlos Blanco 002; Fernando Pérez-Cruz (Neural Comput., 2016)

Infinite Factorial Unbounded-State Hidden Markov Model. - Isabel Valera; Francisco J. R. Ruiz; Fernando Pérez-Cruz (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning. - Briland Hitaj; Giuseppe Ateniese; Fernando Pérez-Cruz (CCS, 2017)

Wireless RSSI fingerprinting localization. - Simon Yiu; Marzieh Dashti; Holger Claussen 001; Fernando Pérez-Cruz (Signal Process., 2017)

Widely Linear Complex-Valued Kernel Methods for Regression. - Rafael Boloix-Tortosa; Juan José Murillo-Fuentes; Irene Santos Velázquez; Fernando Pérez-Cruz (IEEE Trans. Signal Process., 2017)

Sparse Three-Parameter Restricted Indian Buffet Process for Understanding International Trade. - Melanie F. Pradier; Viktor Stojkoski; Zoran Utkovski; Lujupco Kocorev; Fernando Pérez-Cruz (ICASSP, 2018)

Sparse Three-parameter Restricted Indian Buffet Process for Understanding International Trade. - Melanie F. Pradier; Viktor Stojkoski; Zoran Utkovski; Ljupco Kocarev; Fernando Pérez-Cruz (CoRR, 2018)

Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. - Francisco J. R. Ruiz; Isabel Valera; Lennart Svensson; Fernando Pérez-Cruz (IEEE Trans. Cogn. Commun. Netw., 2018)

Complex Gaussian Processes for Regression. - Rafael Boloix-Tortosa; Juan José Murillo-Fuentes; F. Javier Payan-Somet; Fernando Pérez-Cruz (IEEE Trans. Neural Networks Learn. Syst., 2018)

Probabilistic MIMO Symbol Detection With Expectation Consistency Approximate Inference. - Javier Cespedes; Pablo M. Olmos; Matilde Sánchez Fernández; Fernando Pérez-Cruz (IEEE Trans. Veh. Technol., 2018)

PassGAN: A Deep Learning Approach for Password Guessing. - Briland Hitaj; Paolo Gasti; Giuseppe Ateniese; Fernando Pérez-Cruz (ACNS, 2019)

Synchrotron X-Ray Phase Contrast Imaging and Deep Neural Networks for Cardiac Collagen Quantification in Hypertensive Rat Model. - Hector Dejea; Christine Tanner; Radhakrishna Achanta; Marco Stampanoni; Fernando Pérez-Cruz; Ender Konukoglu; Anne Bonnin (FIMH, 2019)

Out-of-Sample Testing for GANs. - Pablo Sánchez-Martín; Pablo M. Olmos; Fernando Pérez-Cruz (CoRR, 2019)

Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies. - Stefan G. Stark; Stephanie L. Hyland; Melanie Fernandes Pradier; Kjong-Van Lehmann; Andreas Wicki; Fernando Pérez-Cruz; Julia E. Vogt; Gunnar Rätsch (CoRR, 2019)

Improved BiGAN training with marginal likelihood equalization. - Pablo Sánchez-Martín; Pablo M. Olmos; Fernando Pérez-Cruz (CoRR, 2019)

Probabilistic Time of Arrival Localization. - Fernando Pérez-Cruz; Pablo M. Olmos; Michael Minyi Zhang; Howard Huang (IEEE Signal Process. Lett., 2019)

Robust Sampling in Deep Learning. - Aurora Cobo Aguilera; Antonio Artés-Rodríguez; Fernando Pérez-Cruz; Pablo Martinez-Olmos (CoRR, 2020)

A data acquisition setup for data driven acoustic design. - Romana Rust; Achilleas Xydis; Kurt Heutschi; Nathanaël Perraudin; Gonzalo Casas; Chaoyu Du; Jürgen Strauss; Kurt Eggenschwiler; Fernando Pérez-Cruz; Fabio Gramazio; Matthias Kohler (CoRR, 2021)

Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network. - Michael Stalder; Firat Ozdemir; Artur Safin; Jonas Sukys; Damien Bouffard; Fernando Pérez-Cruz (CoRR, 2021)

A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators. - Sichen Li; Mélissa Zacharias; Jochem Snuverink; Jaime Coello de Portugal; Fernando Pérez-Cruz; Davide Reggiani; Andreas Adelmann (Inf., 2021)

MaleficNet: Hiding Malware into Deep Neural Networks Using Spread-Spectrum Channel Coding. - Dorjan Hitaj; Giulio Pagnotta; Briland Hitaj; Luigi V. Mancini; Fernando Pérez-Cruz (ESORICS (3), 2022)

Vision paper: causal inference for interpretable and robust machine learning in mobility analysis. - Yanan Xin 001; Natasa Tagasovska; Fernando Pérez-Cruz; Martin Raubal (SIGSPATIAL/GIS, 2022)

Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data. - Anna Klimovskaia Susmelj; Berkan Lafci; Firat Ozdemir; Neda Davoudi; Xosé-Luís Dean-Ben; Fernando Pérez-Cruz; Daniel Razansky (MIDL, 2022)

What You See is What You Classify: Black Box Attributions. - Steven Stalder; Nathanaël Perraudin; Radhakrishna Achanta; Fernando Pérez-Cruz; Michele Volpi (NeurIPS, 2022)

Optimization of Annealed Importance Sampling Hyperparameters. - Shirin Goshtasbpour; Fernando Pérez-Cruz (ECML/PKDD (5), 2022)

Deep Reinforcement Learning for Random Access in Machine-Type Communication. - Muhammad Awais Jadoon; Adriano Pastore; Monica Navarro; Fernando Pérez-Cruz (WCNC, 2022)

Learning Summary Statistics for Bayesian Inference with Autoencoders. - Carlo Albert; Simone Ulzega; Firat Ozdemir; Fernando Pérez-Cruz; Antonietta Mira (CoRR, 2022)

Facilitated machine learning for image-based fruit quality assessment in developing countries. - Manuel Knott 001; Fernando Pérez-Cruz; Thijs Defraeye (CoRR, 2022)

Design Space Exploration and Explanation via Conditional Variational Autoencoders in Meta-model-based Conceptual Design of Pedestrian Bridges. - Vera M. Balmer; Sophia V. Kuhn; Rafael Bischof; Luis Salamanca; Walter Kaufmann; Fernando Pérez-Cruz; Michael A. Kraus (CoRR, 2022)

Accelerated parallel non-conjugate sampling for Bayesian non-parametric models. - Michael Minyi Zhang; Sinead A. Williamson; Fernando Pérez-Cruz (Stat. Comput., 2022)

PassGPT: Password Modeling and (Guided) Generation with Large Language Models. - Javier Rando; Fernando Pérez-Cruz; Briland Hitaj (ESORICS (4), 2023)

Adaptive Annealed Importance Sampling with Constant Rate Progress. - Shirin Goshtasbpour; Victor Cohen; Fernando Pérez-Cruz (ICML, 2023)

Renku: a platform for sustainable data science. - Rok Roskar; Chandrasekhar Ramakrishnan; Michele Volpi; Fernando Pérez-Cruz; Lilian Gasser; Firat Ozdemir; Patrick Paitz; Mohammad Alisafaee; Philipp Fischer; Ralf Grubenmann; Eliza J. Harris; Tasko Olevski; et al. (NeurIPS, 2023)

Anchor Data Augmentation. - Nora Schneider; Shirin Goshtasbpour; Fernando Pérez-Cruz (NeurIPS, 2023)

An evaluation of deep learning models for predicting water depth evolution in urban floods. - Stefania Russo; Nathanaël Perraudin; Steven Stalder; Fernando Pérez-Cruz; João Paulo Leitão; Guillaume Obozinski; Jan Dirk Wegner (CoRR, 2023)

Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression. - Sichen Li; Jochem Snuverink; Fernando Pérez-Cruz; Andreas Adelmann (CoRR, 2023)

Simulation-based inference using surjective sequential neural likelihood estimation. - Simon Dirmeier; Carlo Albert; Fernando Pérez-Cruz (CoRR, 2023)

Uncertainty quantification and out-of-distribution detection using surjective normalizing flows. - Simon Dirmeier; Ye Hong; Yanan Xin 001; Fernando Pérez-Cruz (CoRR, 2023)

Diffusion models for probabilistic programming. - Simon Dirmeier; Fernando Pérez-Cruz (CoRR, 2023)

KG-FRUS: a Novel Graph-based Dataset of 127 Years of US Diplomatic Relations. - Gökberk Özsoy; Luis Salamanca; Matthew Connelly; Raymond Hicks; Fernando Pérez-Cruz (CoRR, 2023)

Revealing behavioral impact on mobility prediction networks through causal interventions. - Ye Hong; Yanan Xin 001; Simon Dirmeier; Fernando Pérez-Cruz; Martin Raubal (CoRR, 2023)

OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing. - Firat Ozdemir; Berkan Lafci; Xosé-Luís Dean-Ben; Daniel Razansky; Fernando Pérez-Cruz (Trans. Mach. Learn. Res., 2023)

Regularizing transformers with deep probabilistic layers. - Aurora Cobo Aguilera; Pablo M. Olmos; Antonio Artés-Rodríguez; Fernando Pérez-Cruz (Neural Networks, 2023)

Enhancing diversity in GANs via non-uniform sampling. - Pablo Sánchez-Martín; Pablo M. Olmos; Fernando Pérez-Cruz (Inf. Sci., 2023)

TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding. - Giulio Pagnotta; Dorjan Hitaj; Briland Hitaj; Fernando Pérez-Cruz; Luigi V. Mancini (ACSAC, 2024)

Synthetic location trajectory generation using categorical diffusion models. - Simon Dirmeier; Ye Hong; Fernando Pérez-Cruz (CoRR, 2024)

Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem. - Dorjan Hitaj; Giulio Pagnotta; Fabio De Gaspari; Sediola Ruko; Briland Hitaj; Luigi V. Mancini; Fernando Pérez-Cruz (CoRR, 2024)

Counterfactual Explanations for Deep Learning-Based Traffic Forecasting. - Rushan Wang; Yanan Xin 001; Yatao Zhang; Fernando Pérez-Cruz; Martin Raubal (CoRR, 2024)

FedComm: Federated Learning as a Medium for Covert Communication. - Dorjan Hitaj; Giulio Pagnotta; Briland Hitaj; Fernando Pérez-Cruz; Luigi V. Mancini (IEEE Trans. Dependable Secur. Comput., 2024)

Signal domain adaptation network for limited-view optoacoustic tomography. - Anna Klimovskaia Susmelj; Berkan Lafci; Firat Ozdemir; Neda Davoudi; Xosé-Luís Dean-Ben; Fernando Pérez-Cruz; Daniel Razansky (Medical Image Anal., 2024)

Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation. - Simon Dirmeier; Carlo Albert; Fernando Pérez-Cruz (UAI, 2025)

Predictive structural assessment with Bayesian deep learning. - Sophia V. Kuhn; Marius Weber; Antoine Binggeli; Michael A. Kraus; Fernando Pérez-Cruz; Walter Kaufmann (Adv. Eng. Informatics, 2025)

Graph Neural Network-Based Predictive Modeling for Robotic Plaster Printing. - Diego Machain Rivera; Selen Ercan Jenny; Ping-Hsuan Tsai; Ena Lloret-Fritschi; Luis Salamanca; Fernando Pérez-Cruz; Konstantinos E. Tatsis (CoRR, 2025)

A Closer Look at Benchmarking Self-supervised Pre-training with Image Classification. - Markus Marks; Manuel Knott 001; Neehar Kondapaneni; Elijah Cole; Thijs Defraeye; Fernando Pérez-Cruz; Pietro Perona (Int. J. Comput. Vis., 2025)