Victor Elvira - RankMe

70 papers A 2C 1Misc 10Journal 32Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Collaborative Platform for Soil Organic Carbon Inference Based on Spatiotemporal Remote Sensing Data. CoRR Jose Manuel Aroca-Fernandez, José-Francisco Díez-Pastor, Pedro Latorre-Carmona, Victor Elvira, Gustau Camps-Valls, Rodrigo Pascual, César Ignacio García-Osorio
2025	J	`jnl`	Differential Privacy of Network Parameters from a System Identification Perspective. CoRR Andrew Campbell, Anna Scaglione, Hang Liu, Victor Elvira, Sean Peisert, Daniel B. Arnold
2025	Misc	`conf`	Subset Adaptive Importance Sampling for Multi-Failure-Region Estimation. ICASSP Sara Helal, Victor Elvira
2024	A	`conf`	Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization. AISTATS Thomas Guilmeau, Nicola Branchini, Emilie Chouzenoux, Victor Elvira
2024	J	`jnl`	Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks. CoRR Benjamin Cox, Santiago Segarra, Victor Elvira
2024	J	`jnl`	Regime Learning for Differentiable Particle Filters. CoRR John-Joseph Brady, Yuhui Luo, Wenwu Wang, Victor Elvira, Yunpeng Li
2024	J	`jnl`	Sparse Graphical Linear Dynamical Systems. J. Mach. Learn. Res. Emilie Chouzenoux, Victor Elvira
2023	J	`jnl`	Deep State-Space Model for Predicting Cryptocurrency Price. CoRR Shalini Sharma, Angshul Majumdar, Emilie Chouzenoux, Victor Elvira
2023	J	`jnl`	GraphIT: Iterative reweighted 𝓁 CoRR Emilie Chouzenoux, Victor Elvira
2023	J	`jnl`	Sparse Graphical Linear Dynamical Systems. CoRR Emilie Chouzenoux, Victor Elvira
2022	J	`jnl`	A sensor selection approach to maneuvering target tracking based on trajectory function of time. EURASIP J. Adv. Signal Process. Changyi Liu, Kuangyu Di, Tiancheng Li, Victor Elvira
2022	J	`jnl`	Bayesian data fusion with shared priors. CoRR Peng Wu, Tales Imbiriba, Victor Elvira, Pau Closas
2022	J	`jnl`	Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling. CoRR Yunshi Huang, Emilie Chouzenoux, Victor Elvira, Jean-Christophe Pesquet
2022	A	`conf`	Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations. AISTATS Oskar Kviman, Harald Melin, Hazal Koptagel, Victor Elvira, Jens Lagergren
2021	J	`jnl`	A Survey of Monte Carlo Methods for Parameter Estimation. CoRR David Luengo, Luca Martino, Mónica F. Bugallo, Victor Elvira, Simo Särkkä
2021	C	`conf`	Comparison of Discrete and Continuous State Estimation with Focus on Active Flux Scheme. FUSION Jakub Matousek, Jindrich Duník, Marek Brandner, Victor Elvira
2021	J	`jnl`	MCMC-driven importance samplers. CoRR Fernando Llorente, Ernesto Curbelo, Luca Martino, Victor Elvira, David Delgado
2020	J	`jnl`	Adaptive Quadrature Schemes for Bayesian Inference via Active Learning. IEEE Access Fernando Llorente-Fernández, Luca Martino, Victor Elvira, David Delgado, Javier López-Santiago
2019	J	`jnl`	Approximate Shannon Sampling in Importance Sampling: Nearly Consistent Finite Particle Estimates. CoRR Alec Koppel, Amrit Singh Bedi, Victor Elvira, Brian M. Sadler
2019	J	`jnl`	Elucidating the Auxiliary Particle Filter via Multiple Importance Sampling [Lecture Notes]. IEEE Signal Process. Mag. Victor Elvira, Luca Martino, Mónica F. Bugallo, Petar M. Djuric
2019	—	`conf`	Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance Sampling Interpretation. EUSIPCO Victor Elvira, Pau Closas, Luca Martino
2019	J	`jnl`	Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms. IEEE J. Biomed. Health Informatics David Luengo, Gonzalo R. Ríos-Muñoz, Victor Elvira, Carlos Sánchez, Antonio Artés-Rodríguez
2019	J	`jnl`	Multiple Importance Sampling for Efficient Symbol Error Rate Estimation. IEEE Signal Process. Lett. Victor Elvira, Ignacio Santamaría
2018	—	`conf`	A Comparison Of Clipping Strategies For Importance Sampling. SSP Luca Martino, Victor Elvira, Joaquín Míguez, Antonio Artés-Rodríguez, Petar M. Djuric
2018	—	`conf`	Distributed Particle Metropolis-Hastings Schemes. SSP Luca Martino, Victor Elvira, Gustau Camps-Valls
2018	—	`conf`	In Search for Improved Auxiliary Particle Filters. EUSIPCO Victor Elvira, Luca Martino, Mónica F. Bugallo, Petar M. Djuric
2018	Misc	`conf`	Pattern Localization in Time Series Through Signal-To-Model Alignment in Latent Space. ICASSP Steven Van Vaerenbergh, Ignacio Santamaría, Victor Elvira, Matteo Salvatori
2018	J	`jnl`	Pattern Localization in Time Series through Signal-To-Model Alignment in Latent Space. CoRR Steven Van Vaerenbergh, Ignacio Santamaría, Victor Elvira, Matteo Salvatori
2018	J	`jnl`	Robust Covariance Adaptation in Adaptive Importance Sampling. IEEE Signal Process. Lett. Yousef El-Laham, Victor Elvira, Mónica F. Bugallo
2018	Misc	`conf`	The Incremental Proximal Method: A Probabilistic Perspective. ICASSP Ömer Deniz Akyildiz, Victor Elvira, Joaquín Míguez
2017	J	`jnl`	Adapting the Number of Particles in Sequential Monte Carlo Methods Through an Online Scheme for Convergence Assessment. IEEE Trans. Signal Process. Victor Elvira, Joaquín Míguez, Petar M. Djuric
2017	J	`jnl`	Adaptive Importance Sampling: The past, the present, and the future. IEEE Signal Process. Mag. Mónica F. Bugallo, Victor Elvira, Luca Martino, David Luengo, Joaquín Míguez, Petar M. Djuric
2017	—	`conf`	Anti-tempered layered adaptive importance sampling. DSP Luca Martino, Victor Elvira, David Luengo
2017	J	`jnl`	Group Importance Sampling for Particle Filtering and MCMC. CoRR Luca Martino, Victor Elvira, Gustau Camps-Valls
2017	—	`conf`	Group metropolis sampling. EUSIPCO Luca Martino, Victor Elvira, Gustau Camps-Valls
2017	J	`jnl`	Layered adaptive importance sampling. Stat. Comput. Luca Martino, Victor Elvira, David Luengo, Jukka Corander
2017	—	`conf`	Population Monte Carlo schemes with reduced path degeneracy. CAMSAP Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
2017	—	`conf`	Recycling Gibbs sampling. EUSIPCO Luca Martino, Victor Elvira, Gustau Camps-Valls
2016	Misc	`conf`	A hierarchical algorithm for causality discovery among atrial fibrillation electrograms. ICASSP David Luengo, Gonzalo R. Ríos-Muñoz, Victor Elvira, Antonio Artés-Rodríguez
2016	Misc	`conf`	A new strategy for effective learning in population Monte Carlo sampling. ACSSC Mónica F. Bugallo, Victor Elvira, Luca Martino
2016	—	`conf`	A novel algorithm for adapting the number of particles in particle filtering. SAM Victor Elvira, Joaquín Míguez, Petar M. Djuric
2016	—	`conf`	Adaptive population importance samplers: A general perspective. SAM Luca Martino, Victor Elvira, David Luengo, Francisco Louzada
2016	—	`conf`	Alternative effective sample size measures for importance sampling. SSP Luca Martino, Victor Elvira, Francisco Louzada
2016	J	`jnl`	Heretical Multiple Importance Sampling. IEEE Signal Process. Lett. Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
2016	—	`conf`	Latent Variable Analysis of Causal Interactions in Atrial Fibrillation Electrograms. CinC David Luengo, Victor Elvira
2016	—	`conf`	Multiple importance sampling with overlapping sets of proposals. SSP Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
2016	—	`conf`	On the relationship between online Gaussian process regression and kernel least mean squares algorithms. MLSP Steven Van Vaerenbergh, Jesus Fernandez-Bes, Victor Elvira
2016	Misc	`conf`	Online adaptation of the number of particles of SMC methods. ICASSP Victor Elvira, Joaquín Míguez, Petar M. Djuric
2016	Misc	`conf`	Parallel metropolis chains with cooperative adaptation. ICASSP Luca Martino, Victor Elvira, David Luengo, Francisco Louzada
2016	J	`jnl`	The Recycling Gibbs Sampler for Efficient Learning. CoRR Luca Martino, Victor Elvira, Gustau Camps-Valls
2016	—	`conf`	Weighting a resampled particle in Sequential Monte Carlo. SSP Luca Martino, Victor Elvira, Francisco Louzada
2015	J	`jnl`	An Adaptive Population Importance Sampler: Learning From Uncertainty. IEEE Trans. Signal Process. Luca Martino, Victor Elvira, David Luengo, Jukka Corander
2015	—	`conf`	Bias correction for distributed Bayesian estimators. CAMSAP David Luengo, Luca Martino, Victor Elvira, Mónica F. Bugallo
2015	J	`jnl`	Efficient Multiple Importance Sampling Estimators. IEEE Signal Process. Lett. Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
2015	J	`jnl`	Layered Adaptive Importance Sampling. CoRR Luca Martino, Victor Elvira, David Luengo, Jukka Corander
2015	Misc	`conf`	On sample generation and weight calculation in multiple importance sampling. ACSSC Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
2015	—	`conf`	Parallel interacting Markov adaptive importance sampling. EUSIPCO Luca Martino, Victor Elvira, David Luengo, Jukka Corander
2014	—	`conf`	A novel feature extraction technique for human activity recognition. SSP Victor Elvira, Alfredo Nazábal-Renteria, Antonio Artés-Rodríguez
2014	Misc	`conf`	An adaptive population importance sampler. ICASSP Luca Martino, Victor Elvira, David Luengo, Jukka Corander
2014	—	`conf`	Orthogonal MCMC algorithms. SSP Luca Martino, Victor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander
2012	J	`jnl`	Analog antenna combining in transmit correlated channels: Transceiver design and performance evaluation. Signal Process. Victor Elvira, Javier Vía
2011	J	`jnl`	MAC and baseband processors for RF-MIMO WLAN. EURASIP J. Wirel. Commun. Netw. Zoran Stamenkovic, Klaus Tittelbach-Helmrich, Milos Krstic, Jesús Ibáñez, Victor Elvira, Ignacio Santamaría
2011	—	`conf`	Physical layer amendments for MIMO features in 802.11a. Future Network & Mobile Summit Ralf Eickhoff, Klaus Tittelbach-Helmrich, Michael Wickert, Jens Wagner, Uwe Mayer, Victor Elvira, Jesús Ibáñez, Zoran Stamenkovic, Frank Ellinger
2010	—	`conf`	A General Pre-FFT Criterion for MIMO-OFDM Beamforming. ICC Javier Vía, Ignacio Santamaría, Victor Elvira, Ralf Eickhoff
2010	J	`jnl`	A general criterion for analog Tx-Rx beamforming under OFDM transmissions. IEEE Trans. Signal Process. Javier Vía, Ignacio Santamaría, Victor Elvira, Ralf Eickhoff
2010	—	`conf`	Baseband processor for RF-MIMO WLAN. ICECS Victor Elvira, Jesús Ibáñez, Ignacio Santamaría, Milos Krstic, Klaus Tittelbach-Helmrich, Zoran Stamenkovic
2009	—	`conf`	Analog Antenna Combining for Maximum Capacity Under OFDM Transmissions. ICC Javier Vía, Victor Elvira, Ignacio Santamaría, Ralf Eickhoff
2009	—	`conf`	Diversity techniques for RF-beamforming in MIMO-OFDM systems: Design and performance evaluation. EUSIPCO Victor Elvira, Javier Vía
2009	Misc	`conf`	Minimum BER beamforming in the RF domain for OFDM transmissions and linear receivers. ICASSP Javier Vía, Victor Elvira, Ignacio Santamaría, Ralf Eickhoff
2008	—	`conf`	Optimal MIMO transmission schemes with adaptive antenna combining in the RF path. EUSIPCO Ignacio Santamaría, Victor Elvira, Javier Vía, David Ramírez, Jesús Pérez, Jesús Ibáñez, R. Eickoff, Frank Ellinger