Victor Elvira

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 46

Top Topics

Monte Carlo Methods

Atrial Fibrillation

Importance Sampling

Top Venues

Publications

Thomas Guilmeau, Nicola Branchini, Emilie Chouzenoux, Victor Elvira
Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization. AISTATS (2024)
John-Joseph Brady, Yuhui Luo, Wenwu Wang, Victor Elvira, Yunpeng Li
Regime Learning for Differentiable Particle Filters. CoRR (2024)
Émilie Chouzenoux, Victor Elvira
algorithm for sparse graph inference in state-space models. CoRR (2023)
Shalini Sharma, Angshul Majumdar, Émilie Chouzenoux, Victor Elvira
Deep State-Space Model for Predicting Cryptocurrency Price. CoRR (2023)
Émilie Chouzenoux, Victor Elvira
Sparse Graphical Linear Dynamical Systems. CoRR (2023)
Oskar Kviman, Harald Melin, Hazal Koptagel, Victor Elvira, Jens Lagergren
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations. AISTATS (2022)
Changyi Liu, Kuangyu Di, Tiancheng Li, Victor Elvira
A sensor selection approach to maneuvering target tracking based on trajectory function of time. EURASIP J. Adv. Signal Process. 2022 (1) (2022)
Peng Wu, Tales Imbiriba, Victor Elvira, Pau Closas
Bayesian data fusion with shared priors. CoRR (2022)
Yunshi Huang, Émilie Chouzenoux, Victor Elvira, Jean-Christophe Pesquet
Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling. CoRR (2022)
David Luengo, Luca Martino, Mónica F. Bugallo, Victor Elvira, Simo Särkkä
A Survey of Monte Carlo Methods for Parameter Estimation. CoRR (2021)
Fernando Llorente, E. Curbelo, Luca Martino, Victor Elvira, David Delgado
MCMC-driven importance samplers. CoRR (2021)
Jakub Matousek, Jindrich Duník, Marek Brandner, Victor Elvira
Comparison of Discrete and Continuous State Estimation with Focus on Active Flux Scheme. FUSION (2021)
Fernando Llorente-Fernández, Luca Martino, Victor Elvira, David Delgado, Javier López-Santiago
Adaptive Quadrature Schemes for Bayesian Inference via Active Learning. IEEE Access 8 (2020)
Victor Elvira, Ignacio Santamaría
Multiple Importance Sampling for Efficient Symbol Error Rate Estimation. IEEE Signal Process. Lett. 26 (3) (2019)
Victor Elvira, Luca Martino, Mónica F. Bugallo, Petar M. Djuric
Elucidating the Auxiliary Particle Filter via Multiple Importance Sampling [Lecture Notes]. IEEE Signal Process. Mag. 36 (6) (2019)
David Luengo, Gonzalo Rios-Muñoz, Victor Elvira, Carlos Sánchez, Antonio Artés-Rodríguez
Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms. IEEE J. Biomed. Health Informatics 23 (1) (2019)
Alec Koppel, Amrit Singh Bedi, Victor Elvira, Brian M. Sadler
Approximate Shannon Sampling in Importance Sampling: Nearly Consistent Finite Particle Estimates. CoRR (2019)
Victor Elvira, Pau Closas, Luca Martino
Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance Sampling Interpretation. EUSIPCO (2019)
Ömer Deniz Akyildiz, Victor Elvira, Joaquín Míguez
The Incremental Proximal Method: A Probabilistic Perspective. ICASSP (2018)
Steven Van Vaerenbergh, Ignacio Santamaría, Victor Elvira, Matteo Salvatori
Pattern Localization in Time Series Through Signal-To-Model Alignment in Latent Space. ICASSP (2018)
Yousef El-Laham, Victor Elvira, Mónica F. Bugallo
Robust Covariance Adaptation in Adaptive Importance Sampling. IEEE Signal Process. Lett. 25 (7) (2018)
Steven Van Vaerenbergh, Ignacio Santamaría, Victor Elvira, Matteo Salvatori
Pattern Localization in Time Series through Signal-To-Model Alignment in Latent Space. CoRR (2018)
Victor Elvira, Luca Martino, Mónica F. Bugallo, Petar M. Djuric
In Search for Improved Auxiliary Particle Filters. EUSIPCO (2018)
Luca Martino, Victor Elvira, Gustau Camps-Valls
Distributed Particle Metropolis-Hastings Schemes. SSP (2018)
Luca Martino, Victor Elvira, Joaquín Míguez, Antonio Artés-Rodríguez, Petar M. Djuric
A Comparison Of Clipping Strategies For Importance Sampling. SSP (2018)
Victor Elvira, Joaquín Míguez, Petar M. Djuric
Adapting the Number of Particles in Sequential Monte Carlo Methods Through an Online Scheme for Convergence Assessment. IEEE Trans. Signal Process. 65 (7) (2017)
Luca Martino, Victor Elvira, Gustau Camps-Valls
Group metropolis sampling. EUSIPCO (2017)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Population Monte Carlo schemes with reduced path degeneracy. CAMSAP (2017)
Mónica F. Bugallo, Victor Elvira, Luca Martino, David Luengo, Joaquín Míguez, Petar M. Djuric
Adaptive Importance Sampling: The past, the present, and the future. IEEE Signal Process. Mag. 34 (4) (2017)
Luca Martino, Victor Elvira, Gustau Camps-Valls
Recycling Gibbs sampling. EUSIPCO (2017)
Luca Martino, Victor Elvira, David Luengo, Jukka Corander
Layered adaptive importance sampling. Stat. Comput. 27 (3) (2017)
Luca Martino, Victor Elvira, David Luengo
Anti-tempered layered adaptive importance sampling. DSP (2017)
Luca Martino, Victor Elvira, Gustau Camps-Valls
Group Importance Sampling for Particle Filtering and MCMC. CoRR (2017)
David Luengo, Gonzalo Rios-Muñoz, Victor Elvira, Antonio Artés-Rodríguez
A hierarchical algorithm for causality discovery among atrial fibrillation electrograms. ICASSP (2016)
Victor Elvira, Joaquín Míguez, Petar M. Djuric
A novel algorithm for adapting the number of particles in particle filtering. SAM (2016)
David Luengo, Victor Elvira
Latent Variable Analysis of Causal Interactions in Atrial Fibrillation Electrograms. CinC (2016)
Victor Elvira, Joaquín Míguez, Petar M. Djuric
Online adaptation of the number of particles of SMC methods. ICASSP (2016)
Luca Martino, Victor Elvira, David Luengo, Francisco Louzada
Adaptive population importance samplers: A general perspective. SAM (2016)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Multiple importance sampling with overlapping sets of proposals. SSP (2016)
Mónica F. Bugallo, Victor Elvira, Luca Martino
A new strategy for effective learning in population Monte Carlo sampling. ACSSC (2016)
Luca Martino, Victor Elvira, Gustau Camps-Valls
The Recycling Gibbs Sampler for Efficient Learning. CoRR (2016)
Luca Martino, Victor Elvira, David Luengo, Francisco Louzada
Parallel metropolis chains with cooperative adaptation. ICASSP (2016)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Heretical Multiple Importance Sampling. IEEE Signal Process. Lett. 23 (10) (2016)
Steven Van Vaerenbergh, Jesus Fernandez-Bes, Victor Elvira
On the relationship between online Gaussian process regression and kernel least mean squares algorithms. MLSP (2016)
Luca Martino, Victor Elvira, Francisco Louzada
Weighting a resampled particle in Sequential Monte Carlo. SSP (2016)
Luca Martino, Victor Elvira, Francisco Louzada
Alternative effective sample size measures for importance sampling. SSP (2016)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Efficient Multiple Importance Sampling Estimators. IEEE Signal Process. Lett. 22 (10) (2015)
Luca Martino, Victor Elvira, David Luengo, Jukka Corander
Layered Adaptive Importance Sampling. CoRR (2015)
Luca Martino, Victor Elvira, David Luengo, Jukka Corander
Parallel interacting Markov adaptive importance sampling. EUSIPCO (2015)
Luca Martino, Victor Elvira, David Luengo, Jukka Corander
An Adaptive Population Importance Sampler: Learning From Uncertainty. IEEE Trans. Signal Process. 63 (16) (2015)
David Luengo, Luca Martino, Victor Elvira, Mónica F. Bugallo
Bias correction for distributed Bayesian estimators. CAMSAP (2015)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
On sample generation and weight calculation in multiple importance sampling. ACSSC (2015)
Victor Elvira, Alfredo Nazábal-Renteria, Antonio Artés-Rodríguez
A novel feature extraction technique for human activity recognition. SSP (2014)
Luca Martino, Victor Elvira, David Luengo, Jukka Corander
An adaptive population importance sampler. ICASSP (2014)
Luca Martino, Victor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander
Orthogonal MCMC algorithms. SSP (2014)
Victor Elvira, Javier Vía
Analog antenna combining in transmit correlated channels: Transceiver design and performance evaluation. Signal Process. 92 (3) (2012)
Ralf Eickhoff, Klaus Tittelbach-Helmrich, Michael Wickert, Jens Wagner, Uwe Mayer, Victor Elvira, Jesús Ibáñez, Zoran Stamenkovic, Frank Ellinger
Physical layer amendments for MIMO features in 802.11a. Future Network & Mobile Summit (2011)
Zoran Stamenkovic, Klaus Tittelbach-Helmrich, Milos Krstic, Jesús Ibáñez, Victor Elvira, Ignacio Santamaría
MAC and baseband processors for RF-MIMO WLAN. EURASIP J. Wirel. Commun. Netw. 2011 (2011)
Victor Elvira, Jesús Ibáñez, Ignacio Santamaría, Milos Krstic, Klaus Tittelbach-Helmrich, Zoran Stamenkovic
Baseband processor for RF-MIMO WLAN. ICECS (2010)
Javier Vía, Ignacio Santamaría, Victor Elvira, Ralf Eickhoff
A General Pre-FFT Criterion for MIMO-OFDM Beamforming. ICC (2010)
Javier Vía, Ignacio Santamaría, Victor Elvira, Ralf Eickhoff
A general criterion for analog Tx-Rx beamforming under OFDM transmissions. IEEE Trans. Signal Process. 58 (4) (2010)
Javier Vía, Victor Elvira, Ignacio Santamaría, Ralf Eickhoff
Minimum BER beamforming in the RF domain for OFDM transmissions and linear receivers. ICASSP (2009)
Javier Vía, Victor Elvira, Ignacio Santamaría, Ralf Eickhoff
Analog Antenna Combining for Maximum Capacity Under OFDM Transmissions. ICC (2009)
Victor Elvira, Javier Vía
Diversity techniques for RF-beamforming in MIMO-OFDM systems: Design and performance evaluation. EUSIPCO (2009)
Ignacio Santamaría, Victor Elvira, Javier Vía, David Ramírez, Jesús Pérez, Jesús Ibáñez, R. Eickoff, Frank Ellinger
Optimal MIMO transmission schemes with adaptive antenna combining in the RF path. EUSIPCO (2008)