Optimal MIMO transmission schemes with adaptive antenna combining in the RF path. - Ignacio Santamaría; Victor Elvira; Javier Vía; David Ramírez 001; Jesús Pérez 001; Jesús Ibáñez 002; R. Eickoff; Frank Ellinger (EUSIPCO, 2008)

Diversity techniques for RF-beamforming in MIMO-OFDM systems: Design and performance evaluation. - Victor Elvira; Javier Vía (EUSIPCO, 2009)

Minimum BER beamforming in the RF domain for OFDM transmissions and linear receivers. - Javier Vía; Victor Elvira; Ignacio Santamaría; Ralf Eickhoff (ICASSP, 2009)

Analog Antenna Combining for Maximum Capacity Under OFDM Transmissions. - Javier Vía; Victor Elvira; Ignacio Santamaría; Ralf Eickhoff (ICC, 2009)

A General Pre-FFT Criterion for MIMO-OFDM Beamforming. - Javier Vía; Ignacio Santamaría; Victor Elvira; Ralf Eickhoff (ICC, 2010)

Baseband processor for RF-MIMO WLAN. - Victor Elvira; Jesús Ibáñez 002; Ignacio Santamaría; Milos Krstic; Klaus Tittelbach-Helmrich; Zoran Stamenkovic (ICECS, 2010)

A general criterion for analog Tx-Rx beamforming under OFDM transmissions. - Javier Vía; Ignacio Santamaría; Victor Elvira; Ralf Eickhoff (IEEE Trans. Signal Process., 2010)

Physical layer amendments for MIMO features in 802.11a. - Ralf Eickhoff; Klaus Tittelbach-Helmrich; Michael Wickert; Jens Wagner; Uwe Mayer; Victor Elvira; Jesús Ibáñez 002; Zoran Stamenkovic; Frank Ellinger (Future Network & Mobile Summit, 2011)

MAC and baseband processors for RF-MIMO WLAN. - Zoran Stamenkovic; Klaus Tittelbach-Helmrich; Milos Krstic; Jesús Ibáñez 002; Victor Elvira; Ignacio Santamaría (EURASIP J. Wirel. Commun. Netw., 2011)

Analog antenna combining in transmit correlated channels: Transceiver design and performance evaluation. - Victor Elvira; Javier Vía (Signal Process., 2012)

An adaptive population importance sampler. - Luca Martino; Victor Elvira; David Luengo; Jukka Corander (ICASSP, 2014)

A novel feature extraction technique for human activity recognition. - Victor Elvira; Alfredo Nazábal-Renteria; Antonio Artés-Rodríguez (SSP, 2014)

Orthogonal MCMC algorithms. - Luca Martino; Victor Elvira; David Luengo; Antonio Artés-Rodríguez; Jukka Corander (SSP, 2014)

On sample generation and weight calculation in multiple importance sampling. - Victor Elvira; Luca Martino; David Luengo; Mónica F. Bugallo (ACSSC, 2015)

Bias correction for distributed Bayesian estimators. - David Luengo; Luca Martino; Victor Elvira; Mónica F. Bugallo (CAMSAP, 2015)

Causality Analysis of Atrial Fibrillation Electrograms. - David Luengo; Gonzalo Rios-Muñoz; Víctor Elvira (CinC, 2015)

Parallel interacting Markov adaptive importance sampling. - Luca Martino; Victor Elvira; David Luengo; Jukka Corander (EUSIPCO, 2015)

A gradient adaptive population importance sampler. - Víctor Elvira; Luca Martino; David Luengo; Jukka Corander (ICASSP, 2015)

A probabilistic least-mean-squares filter. - Jesus Fernandez-Bes; Víctor Elvira; Steven Van Vaerenbergh (ICASSP, 2015)

Efficient linear combination of partial Monte Carlo estimators. - David Luengo; Luca Martino; Víctor Elvira; Mónica F. Bugallo (ICASSP, 2015)

Smelly parallel MCMC chains. - Luca Martino; Víctor Elvira; David Luengo; Antonio Artés-Rodríguez; Jukka Corander (ICASSP, 2015)

Efficient Multiple Importance Sampling Estimators. - Victor Elvira; Luca Martino; David Luengo; Mónica F. Bugallo (IEEE Signal Process. Lett., 2015)

An Adaptive Population Importance Sampler: Learning From Uncertainty. - Luca Martino; Victor Elvira; David Luengo; Jukka Corander (IEEE Trans. Signal Process., 2015)

A new strategy for effective learning in population Monte Carlo sampling. - Mónica F. Bugallo; Victor Elvira; Luca Martino (ACSSC, 2016)

Latent Variable Analysis of Causal Interactions in Atrial Fibrillation Electrograms. - David Luengo; Victor Elvira (CinC, 2016)

Online adaptation of the number of particles of SMC methods. - Victor Elvira; Joaquín Míguez; Petar M. Djuric (ICASSP, 2016)

A hierarchical algorithm for causality discovery among atrial fibrillation electrograms. - David Luengo; Gonzalo Rios-Muñoz; Victor Elvira; Antonio Artés-Rodríguez (ICASSP, 2016)

Parallel metropolis chains with cooperative adaptation. - Luca Martino; Victor Elvira; David Luengo; Francisco Louzada 001 (ICASSP, 2016)

A novel algorithm for adapting the number of particles in particle filtering. - Victor Elvira; Joaquín Míguez; Petar M. Djuric (SAM, 2016)

Adaptive population importance samplers: A general perspective. - Luca Martino; Victor Elvira; David Luengo; Francisco Louzada 001 (SAM, 2016)

On the relationship between online Gaussian process regression and kernel least mean squares algorithms. - Steven Van Vaerenbergh; Jesus Fernandez-Bes; Victor Elvira (MLSP, 2016)

Multiple importance sampling with overlapping sets of proposals. - Victor Elvira; Luca Martino; David Luengo; Mónica F. Bugallo (SSP, 2016)

Weighting a resampled particle in Sequential Monte Carlo. - Luca Martino; Victor Elvira; Francisco Louzada 001 (SSP, 2016)

Alternative effective sample size measures for importance sampling. - Luca Martino; Victor Elvira; Francisco Louzada 001 (SSP, 2016)

Orthogonal parallel MCMC methods for sampling and optimization. - Luca Martino; Víctor Elvira; David Luengo; Jukka Corander; Francisco Louzada 001 (Digit. Signal Process., 2016)

Heretical Multiple Importance Sampling. - Victor Elvira; Luca Martino; David Luengo; Mónica F. Bugallo (IEEE Signal Process. Lett., 2016)

Estimation of real valued impulse responses based on noisy magnitude and phase measurements. - Oliver Lang; Víctor Elvira; Mario Huemer (ACSSC, 2017)

Population Monte Carlo schemes with reduced path degeneracy. - Victor Elvira; Luca Martino; David Luengo; Mónica F. Bugallo (CAMSAP, 2017)

Recycling Gibbs sampling. - Luca Martino; Victor Elvira; Gustau Camps-Valls (EUSIPCO, 2017)

Group metropolis sampling. - Luca Martino; Victor Elvira; Gustau Camps-Valls (EUSIPCO, 2017)

Anti-tempered layered adaptive importance sampling. - Luca Martino; Victor Elvira; David Luengo (DSP, 2017)

Cooperative parallel particle filters for online model selection and applications to urban mobility. - Luca Martino; Jesse Read; Víctor Elvira; Francisco Louzada 001 (Digit. Signal Process., 2017)

Layered adaptive importance sampling. - Luca Martino; Victor Elvira; David Luengo; Jukka Corander (Stat. Comput., 2017)

Improving population Monte Carlo: Alternative weighting and resampling schemes. - Víctor Elvira; Luca Martino; David Luengo; Mónica F. Bugallo (Signal Process., 2017)

Effective sample size for importance sampling based on discrepancy measures. - Luca Martino; Víctor Elvira; Francisco Louzada 001 (Signal Process., 2017)

Adaptive Importance Sampling: The past, the present, and the future. - Mónica F. Bugallo; Victor Elvira; Luca Martino; David Luengo; Joaquín Míguez; Petar M. Djuric (IEEE Signal Process. Mag., 2017)

Adapting the Number of Particles in Sequential Monte Carlo Methods Through an Online Scheme for Convergence Assessment. - Victor Elvira; Joaquín Míguez; Petar M. Djuric (IEEE Trans. Signal Process., 2017)

In Search for Improved Auxiliary Particle Filters. - Victor Elvira; Luca Martino; Mónica F. Bugallo; Petar M. Djuric (EUSIPCO, 2018)

The Incremental Proximal Method: A Probabilistic Perspective. - Ömer Deniz Akyildiz; Victor Elvira; Joaquín Míguez (ICASSP, 2018)

Pattern Localization in Time Series Through Signal-To-Model Alignment in Latent Space. - Steven Van Vaerenbergh; Ignacio Santamaría; Victor Elvira; Matteo Salvatori (ICASSP, 2018)

Distributed Particle Metropolis-Hastings Schemes. - Luca Martino; Victor Elvira; Gustau Camps-Valls (SSP, 2018)

A Comparison Of Clipping Strategies For Importance Sampling. - Luca Martino; Victor Elvira; Joaquín Míguez; Antonio Artés-Rodríguez; Petar M. Djuric (SSP, 2018)

Efficient linear fusion of partial estimators. - David Luengo; Luca Martino; Víctor Elvira; Mónica F. Bugallo (Digit. Signal Process., 2018)

The Recycling Gibbs sampler for efficient learning. - Luca Martino; Víctor Elvira; Gustau Camps-Valls (Digit. Signal Process., 2018)

Group Importance Sampling for particle filtering and MCMC. - Luca Martino; Víctor Elvira; Gustau Camps-Valls (Digit. Signal Process., 2018)

Robust Covariance Adaptation in Adaptive Importance Sampling. - Yousef El-Laham; Victor Elvira; Mónica F. Bugallo (IEEE Signal Process. Lett., 2018)

Multiple importance sampling characterization by weighted mean invariance. - Mateu Sbert; Vlastimil Havran; László Szirmay-Kalos; Víctor Elvira (Vis. Comput., 2018)

Compressed Streaming Importance Sampling for Efficient Representations of Localization Distributions. - Amrit Singh Bedi; Alec Koppel; Brian M. Sadler; Víctor Elvira (ACSSC, 2019)

Efficient SER Estimation for MIMO Detectors via Importance Sampling Schemes. - Víctor Elvira; Ignacio Santamaría (ACSSC, 2019)

Recursive Shrinkage Covariance Learning in Adaptive Importance Sampling. - Yousef El-Laham; Víctor Elvira; Mónica F. Bugallo (CAMSAP, 2019)

Particle Filtering for Online Space-Varying Blur Identification. - Yunshi Huang; Emilie Chouzenoux; Víctor Elvira (CAMSAP, 2019)

Efficient Adaptive Multiple Importance Sampling. - Yousef El-Laham; Luca Martino; Víctor Elvira; Mónica F. Bugallo (EUSIPCO, 2019)

Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance Sampling Interpretation. - Victor Elvira; Pau Closas; Luca Martino (EUSIPCO, 2019)

Langevin-based Strategy for Efficient Proposal Adaptation in Population Monte Carlo. - Víctor Elvira; Emilie Chouzenoux (ICASSP, 2019)

Approximate Shannon Sampling in Importance Sampling: Nearly Consistent Finite Particle Estimates. - Alec Koppel; Amrit Singh Bedi; Victor Elvira; Brian M. Sadler (CoRR, 2019)

A Probabilistic Incremental Proximal Gradient Method. - Ömer Deniz Akyildiz; Emilie Chouzenoux; Víctor Elvira; Joaquín Míguez (IEEE Signal Process. Lett., 2019)

Multiple Importance Sampling for Efficient Symbol Error Rate Estimation. - Victor Elvira; Ignacio Santamaría (IEEE Signal Process. Lett., 2019)

Elucidating the Auxiliary Particle Filter via Multiple Importance Sampling [Lecture Notes]. - Victor Elvira; Luca Martino; Mónica F. Bugallo; Petar M. Djuric (IEEE Signal Process. Mag., 2019)

Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms. - David Luengo; Gonzalo Rios-Muñoz; Victor Elvira; Carlos Sánchez 005; Antonio Artés-Rodríguez (IEEE J. Biomed. Health Informatics, 2019)

Graphem: EM Algorithm for Blind Kalman Filtering Under Graphical Sparsity Constraints. - Emilie Chouzenoux; Víctor Elvira (ICASSP, 2020)

Particle Group Metropolis Methods for Tracking the Leaf Area Index. - Luca Martino; Víctor Elvira; Gustau Camps-Valls (ICASSP, 2020)

Adaptive Quadrature Schemes for Bayesian Inference via Active Learning. - Fernando Llorente-Fernández; Luca Martino; Victor Elvira; David Delgado 001; Javier López-Santiago (IEEE Access, 2020)

A survey of Monte Carlo methods for parameter estimation. - David Luengo; Luca Martino; Mónica F. Bugallo; Víctor Elvira; Simo Särkkä (EURASIP J. Adv. Signal Process., 2020)

Comparison of Discrete and Continuous State Estimation with Focus on Active Flux Scheme. - Jakub Matousek; Jindrich Duník; Marek Brandner; Victor Elvira (FUSION, 2021)

Importance Gauss-Hermite Gaussian Filter for Models with Non-Additive Non-Gaussian Noises. - Ondrej Straka; Jindrich Duník; Víctor Elvira (FUSION, 2021)

Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter. - Snehil Dahiya; Shalini Sharma; Dhruv Sahnan; Vasu Goel; Emilie Chouzenoux; Víctor Elvira; Angshul Majumdar; Anil Bandhakavi; Tanmoy Chakraborty 002 (KDD, 2021)

Simulated Annealing: a Review and a New Scheme. - Thomas Guilmeau; Emilie Chouzenoux; Víctor Elvira (SSP, 2021)

A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design. - Fernando Llorente 001; Luca Martino; Víctor Elvira; David Delgado 001 (SSP, 2021)

Optimized auxiliary particle filters: adapting mixture proposals via convex optimization. - Nicola Branchini; Víctor Elvira (UAI, 2021)

MCMC-driven importance samplers. - Fernando Llorente 001; Ernesto Curbelo; Luca Martino; Victor Elvira; David Delgado 001 (CoRR, 2021)

Stochastic Order and Generalized Weighted Mean Invariance. - Mateu Sbert; Jordi Poch; Shuning Chen; Víctor Elvira (Entropy, 2021)

Recurrent dictionary learning for state-space models with an application in stock forecasting. - Shalini Sharma; Víctor Elvira; Emilie Chouzenoux; Angshul Majumdar (Neurocomputing, 2021)

Compressed Monte Carlo with application in particle filtering. - Luca Martino; Víctor Elvira (Inf. Sci., 2021)

On the performance of particle filters with adaptive number of particles. - Víctor Elvira; Joaquín Míguez; Petar M. Djuric (Stat. Comput., 2021)

Hamiltonian Adaptive Importance Sampling. - Ali Mousavi; Reza Monsefi; Víctor Elvira (IEEE Signal Process. Lett., 2021)

An Efficient Sampling Scheme for the Eigenvalues of Dual Wishart Matrices. - Ignacio Santamaría; Víctor Elvira (IEEE Signal Process. Lett., 2021)

Compressed Particle Methods for Expensive Models With Application in Astronomy and Remote Sensing. - Luca Martino; Víctor Elvira; Javier López-Santiago; Gustau Camps-Valls (IEEE Trans. Aerosp. Electron. Syst., 2021)

Probabilistic Modeling and Inference for Sequential Space-Varying Blur Identification. - Yunshi Huang; Emilie Chouzenoux; Víctor Elvira (IEEE Trans. Computational Imaging, 2021)

Importance Gaussian Quadrature. - Víctor Elvira; Luca Martino; Pau Closas (IEEE Trans. Signal Process., 2021)

Multiple Importance Sampling for Symbol Error Rate Estimation of Maximum-Likelihood Detectors in MIMO Channels. - Víctor Elvira; Ignacio Santamaría (IEEE Trans. Signal Process., 2021)

Nearly Consistent Finite Particle Estimates in Streaming Importance Sampling. - Alec Koppel; Amrit Singh Bedi; Brian M. Sadler; Víctor Elvira (IEEE Trans. Signal Process., 2021)

Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations. - Oskar Kviman; Harald Melin; Hazal Koptagel; Victor Elvira; Jens Lagergren (AISTATS, 2022)

Parameter Estimation in Sparse Linear-Gaussian State-Space Models via Reversible Jump Markov Chain Monte Carlo. - Benjamin Cox; Víctor Elvira (EUSIPCO, 2022)

Proximal-Based Adaptive Simulated Annealing for Global Optimization. - Thomas Guilmeau; Emilie Chouzenoux; Víctor Elvira (ICASSP, 2022)

Approximating The Likelihood Ratio in Linear-Gaussian State-Space Models for Change Detection. - Kostas Tsampourakis; Víctor Elvira (ICASSP, 2022)

Learning with MISELBO: The Mixture Cookbook. - Oskar Kviman; Ricky Molén; Alexandra Hotti; Semih Kurt; Víctor Elvira; Jens Lagergren (CoRR, 2022)

A sensor selection approach to maneuvering target tracking based on trajectory function of time. - Changyi Liu; Kuangyu Di; Tiancheng Li; Victor Elvira (EURASIP J. Adv. Signal Process., 2022)

Generalizing the Balance Heuristic Estimator in Multiple Importance Sampling. - Mateu Sbert; Víctor Elvira (Entropy, 2022)

Optimized Population Monte Carlo. - Víctor Elvira; Emilie Chouzenoux (IEEE Trans. Signal Process., 2022)

Graphical Inference in Linear-Gaussian State-Space Models. - Víctor Elvira; Emilie Chouzenoux (IEEE Trans. Signal Process., 2022)

State and Dynamics Estimation with the Kalman-Langevin filter. - Martin Sevilla; Nicolas Zilberstein; Benjamin Cox; Sara Pérez-Vieites; Víctor Elvira; Santiago Segarra (ACSSC, 2023)

Redistribution Networks for Resampling. - Michael Lunglmayr; Víctor Elvira (CAMSAP, 2023)

Graphit: Iterative Reweighted ℓ1 Algorithm for Sparse Graph Inference in State-Space Models. - Emilie Chouzenoux; Víctor Elvira (ICASSP, 2023)

Adaptive Simulated Annealing Through Alternating Rényi Divergence Minimization. - Thomas Guilmeau; Emilie Chouzenoux; Víctor Elvira (ICASSP, 2023)

Adaptive Gaussian Nested Filter for Parameter Estimation and State Tracking in Dynamical Systems. - Sara Pérez-Vieites; Víctor Elvira (ICASSP, 2023)

An Augmented Gaussian Sum Filter through a mixture Decomposition. - Kostas Tsampourakis; Víctor Elvira (ICASSP, 2023)

Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders. - Oskar Kviman; Ricky Molén; Alexandra Hotti; Semih Kurt; Víctor Elvira; Jens Lagergren (ICML, 2023)

Differentiable Bootstrap Particle Filters for Regime-Switching Models. - Wenhan Li; Xiongjie Chen; Wenwu Wang 001; Víctor Elvira; Yunpeng Li 001 (SSP, 2023)

GraphIT: Iterative reweighted 𝓁1 algorithm for sparse graph inference in state-space models. - Emilie Chouzenoux; Victor Elvira (CoRR, 2023)

Graphs in State-Space Models for Granger Causality in Climate Science. - Víctor Elvira; Emilie Chouzenoux; Jordi Cerdà; Gustau Camps-Valls (CoRR, 2023)

Deep State-Space Model for Predicting Cryptocurrency Price. - Shalini Sharma; Angshul Majumdar; Emilie Chouzenoux; Victor Elvira (CoRR, 2023)

Sparse Bayesian Estimation of Parameters in Linear-Gaussian State-Space Models. - Benjamin Cox; Víctor Elvira (IEEE Trans. Signal Process., 2023)

Gradient-based adaptive importance samplers. - Víctor Elvira; Emilie Chouzenoux; Ömer Deniz Akyildiz; Luca Martino (J. Frankl. Inst., 2023)

A point mass proposal method for Bayesian state-space model fitting. - Mary Llewellyn; Ruth King; Víctor Elvira; Gordon Ross (Stat. Comput., 2023)

Efficient bayes inference in neural networks through adaptive importance sampling. - Yunshi Huang; Emilie Chouzenoux; Víctor Elvira; Jean-Christophe Pesquet (J. Frankl. Inst., 2023)

Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization. - Thomas Guilmeau; Nicola Branchini; Emilie Chouzenoux; Victor Elvira (AISTATS, 2024)

Variational Resampling. - Oskar Kviman; Nicola Branchini; Víctor Elvira; Jens Lagergren (AISTATS, 2024)

Regime Learning for Differentiable Particle Filters. - John-Joseph Brady; Yuhui Luo; Wenwu Wang 001; Víctor Elvira; Yunpeng Li 001 (FUSION, 2024)

Graphical Inference in Non-Markovian Linear-Gaussian State-Space Models. - Emilie Chouzenoux; Víctor Elvira (ICASSP, 2024)

End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks. - Benjamin Cox; Sara Pérez-Vieites; Nicolas Zilberstein; Martin Sevilla; Santiago Segarra; Víctor Elvira (ICASSP, 2024)

Efficient Mixture Learning in Black-Box Variational Inference. - Alexandra Hotti; Oskar Kviman; Ricky Molén; Víctor Elvira; Jens Lagergren (ICML, 2024)

WALGREEN: Web Based Platform for Soil Organic Carbon Inference Applications. - José Manuel Aroca; José-Francisco Díez-Pastor; Pedro Latorre-Carmona; Antonio Canepa-Oneto; Juan Carlos Rad; Gustau Camps-Valls; Víctor Elvira; César García-Osorio (IGARSS, 2024)

Sparse Graphical Linear Dynamical Systems. - Emilie Chouzenoux; Victor Elvira (J. Mach. Learn. Res., 2024)

Hierarchical Average Fusion With GM-PHD Filters Against FDI and DoS Attacks. - Hao Yang; Tiancheng Li; Junkun Yan; Víctor Elvira (IEEE Signal Process. Lett., 2024)

Information Fusion via Importance Sampling. - Augustin-Alexandru Saucan; Víctor Elvira; Pramod K. Varshney; Moe Z. Win (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Bayesian Data Fusion With Shared Priors. - Peng Wu; Tales Imbiriba; Víctor Elvira; Pau Closas (IEEE Trans. Signal Process., 2024)

Learning a Sparse Polynomial Approximation to the Transition Function of General State-Space Models. - Benjamin Cox; Émilie Chouzenoux; Víctor Elvira (ICASSP, 2025)

Subset Adaptive Importance Sampling for Multi-Failure-Region Estimation. - Sara Helal; Victor Elvira (ICASSP, 2025)

Dimensionality Reduction with Entropies from f-Divergences. - Mateu Sbert; Min Chen 001; Jordi Poch; Miquel Feixas; Shuning Chen; Víctor Elvira (MDAI, 2025)

Towards Adaptive Self-Normalized Importance Samplers. - Nicola Branchini; Víctor Elvira (SSP, 2025)

Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks. - Benjamin Cox; Santiago Segarra; Víctor Elvira (Signal Process., 2025)

A Proximal Newton Adaptive Importance Sampler. - Víctor Elvira; Émilie Chouzenoux; Ömer Deniz Akyildiz (IEEE Signal Process. Lett., 2025)

GraphGrad: Efficient Estimation of Sparse Polynomial Representations for General State-Space Models. - Benjamin Cox; Émilie Chouzenoux; Víctor Elvira (IEEE Trans. Signal Process., 2025)

Hybrid Population Monte Carlo. - Ali Mousavi; Víctor Elvira (IEEE Trans. Signal Process., 2025)

Scalable Expectation Estimation with Subtractive Mixture Models. - Lena Zellinger; Nicola Branchini; Víctor Elvira; Antonio Vergari (CoRR, 2025)

A Collaborative Platform for Soil Organic Carbon Inference Based on Spatiotemporal Remote Sensing Data. - Jose Manuel Aroca-Fernandez; José-Francisco Díez-Pastor; Pedro Latorre-Carmona; Victor Elvira; Gustau Camps-Valls; Rodrigo Pascual; César Ignacio García-Osorio (CoRR, 2025)

A Divergence-Based Condition to Ensure Quantile Improvement in Black-Box Global Optimization. - Thomas Guilmeau; Emilie Chouzenoux; Víctor Elvira (IEEE Trans. Evol. Comput., 2025)

Differentiable interacting multiple model particle filtering. - John-Joseph Brady; Yuhui Luo; Wenwu Wang 001; Víctor Elvira; Yunpeng Li 001 (Signal Process., 2026)