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Víctor Elvira
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2020 – today
- 2024
[j46]Emilie Chouzenoux, Victor Elvira:
Sparse Graphical Linear Dynamical Systems. J. Mach. Learn. Res. 25: 223:1-223:53 (2024)- [j45]Hao Yang
, Tiancheng Li, Junkun Yan, Víctor Elvira:
Hierarchical Average Fusion With GM-PHD Filters Against FDI and DoS Attacks. IEEE Signal Process. Lett. 31: 934-938 (2024) - [j44]Augustin-Alexandru Saucan, Víctor Elvira, Pramod K. Varshney, Moe Z. Win:
Information Fusion via Importance Sampling. IEEE Trans. Signal Inf. Process. over Networks 10: 376-389 (2024) - [c73]Oskar Kviman, Nicola Branchini, Víctor Elvira, Jens Lagergren:
Variational Resampling. AISTATS 2024: 3286-3294 - [c72]Thomas Guilmeau, Nicola Branchini, Emilie Chouzenoux, Victor Elvira:
Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization. AISTATS 2024: 3871-3879 - [c71]John-Joseph Brady, Yuhui Luo, Wenwu Wang, Víctor Elvira, Yunpeng Li:
Regime Learning for Differentiable Particle Filters. FUSION 2024: 1-6 - [c70]Benjamin Cox, Sara Pérez-Vieites, Nicolas Zilberstein, Martin Sevilla, Santiago Segarra, Víctor Elvira:
End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks. ICASSP 2024: 9701-9705 - [c69]Emilie Chouzenoux, Víctor Elvira:
Graphical Inference in Non-Markovian Linear-Gaussian State-Space Models. ICASSP 2024: 13141-13145 - [c68]Alexandra Hotti, Oskar Kviman, Ricky Molén, Víctor Elvira, Jens Lagergren:
Efficient Mixture Learning in Black-Box Variational Inference. ICML 2024 - [c67]José Manuel Aroca, José-Francisco Díez-Pastor, Pedro Latorre-Carmona, Antonio Canepa-Oneto, Juan Carlos Rad, Gustau Camps-Valls, Víctor Elvira, César García-Osorio:
WALGREEN: Web Based Platform for Soil Organic Carbon Inference Applications. IGARSS 2024: 3992-3996 - [i25]John-Joseph Brady, Yuhui Luo, Wenwu Wang, Victor Elvira, Yunpeng Li:
Regime Learning for Differentiable Particle Filters. CoRR abs/2405.04865 (2024) - [i24]Alexandra Hotti, Oskar Kviman, Ricky Molén, Víctor Elvira, Jens Lagergren:
Efficient Mixture Learning in Black-Box Variational Inference. CoRR abs/2406.07083 (2024) - 2023
- [j43]Víctor Elvira, Emilie Chouzenoux, Ömer Deniz Akyildiz, Luca Martino:
Gradient-based adaptive importance samplers. J. Frankl. Inst. 360(13): 9490-9514 (2023) - [j42]Yunshi Huang, Emilie Chouzenoux, Víctor Elvira, Jean-Christophe Pesquet:
Efficient bayes inference in neural networks through adaptive importance sampling. J. Frankl. Inst. 360(16): 12125-12149 (2023) - [j41]Mary Llewellyn, Ruth King, Víctor Elvira, Gordon Ross:
A point mass proposal method for Bayesian state-space model fitting. Stat. Comput. 33(5): 111 (2023) - [j40]Benjamin Cox, Víctor Elvira:
Sparse Bayesian Estimation of Parameters in Linear-Gaussian State-Space Models. IEEE Trans. Signal Process. 71: 1922-1937 (2023) - [c66]Martin Sevilla, Nicolas Zilberstein, Benjamin Cox, Sara Pérez-Vieites, Víctor Elvira, Santiago Segarra:
State and Dynamics Estimation with the Kalman-Langevin filter. ACSSC 2023: 1372-1376 - [c65]Michael Lunglmayr, Víctor Elvira:
Redistribution Networks for Resampling. CAMSAP 2023: 66-70 - [c64]Emilie Chouzenoux, Víctor Elvira:
Graphit: Iterative Reweighted ℓ1 Algorithm for Sparse Graph Inference in State-Space Models. ICASSP 2023: 1-5 - [c63]Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira:
Adaptive Simulated Annealing Through Alternating Rényi Divergence Minimization. ICASSP 2023: 1-5 - [c62]Sara Pérez-Vieites, Víctor Elvira:
Adaptive Gaussian Nested Filter for Parameter Estimation and State Tracking in Dynamical Systems. ICASSP 2023: 1-5 - [c61]Kostas Tsampourakis, Víctor Elvira:
An Augmented Gaussian Sum Filter through a mixture Decomposition. ICASSP 2023: 1-5 - [c60]Oskar Kviman, Ricky Molén, Alexandra Hotti, Semih Kurt, Víctor Elvira, Jens Lagergren:
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders. ICML 2023: 18008-18022 - [c59]Wenhan Li, Xiongjie Chen, Wenwu Wang, Víctor Elvira, Yunpeng Li:
Differentiable Bootstrap Particle Filters for Regime-Switching Models. SSP 2023: 200-204 - [i23]Wenhan Li, Xiongjie Chen, Wenwu Wang, Víctor Elvira, Yunpeng Li:
Differentiable Bootstrap Particle Filters for Regime-Switching Models. CoRR abs/2302.10319 (2023) - [i22]Emilie Chouzenoux, Victor Elvira:
GraphIT: Iterative reweighted 𝓁1 algorithm for sparse graph inference in state-space models. CoRR abs/2303.12569 (2023) - [i21]Emilie Chouzenoux, Victor Elvira:
Sparse Graphical Linear Dynamical Systems. CoRR abs/2307.03210 (2023) - [i20]Víctor Elvira, Emilie Chouzenoux, Jordi Cerdà, Gustau Camps-Valls:
Graphs in State-Space Models for Granger Causality in Climate Science. CoRR abs/2307.10703 (2023) - [i19]Shalini Sharma, Angshul Majumdar, Emilie Chouzenoux, Victor Elvira:
Deep State-Space Model for Predicting Cryptocurrency Price. CoRR abs/2311.14731 (2023) - 2022
- [j39]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): 72 (2022) - [j38]Mateu Sbert, Víctor Elvira:
Generalizing the Balance Heuristic Estimator in Multiple Importance Sampling. Entropy 24(2): 191 (2022) - [j37]Víctor Elvira, Emilie Chouzenoux:
Optimized Population Monte Carlo. IEEE Trans. Signal Process. 70: 2489-2501 (2022) - [j36]Víctor Elvira, Emilie Chouzenoux:
Graphical Inference in Linear-Gaussian State-Space Models. IEEE Trans. Signal Process. 70: 4757-4771 (2022) - [c58]Oskar Kviman, Harald Melin, Hazal Koptagel, Victor Elvira, Jens Lagergren:
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations. AISTATS 2022: 10687-10702 - [c57]Benjamin Cox, Víctor Elvira:
Parameter Estimation in Sparse Linear-Gaussian State-Space Models via Reversible Jump Markov Chain Monte Carlo. EUSIPCO 2022: 797-801 - [c56]Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira:
Proximal-Based Adaptive Simulated Annealing for Global Optimization. ICASSP 2022: 5453-5457 - [c55]Kostas Tsampourakis, Víctor Elvira:
Approximating The Likelihood Ratio in Linear-Gaussian State-Space Models for Change Detection. ICASSP 2022: 5912-5916 - [i18]Oskar Kviman, Harald Melin, Hazal Koptagel, Víctor Elvira, Jens Lagergren:
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations. CoRR abs/2202.10951 (2022) - [i17]Ali Mousavi, Reza Monsefi, Víctor Elvira:
Hamiltonian Adaptive Importance Sampling. CoRR abs/2209.13716 (2022) - [i16]Oskar Kviman, Ricky Molén, Alexandra Hotti, Semih Kurt, Víctor Elvira, Jens Lagergren:
Learning with MISELBO: The Mixture Cookbook. CoRR abs/2209.15514 (2022) - [i15]Yunshi Huang, Emilie Chouzenoux, Victor Elvira, Jean-Christophe Pesquet:
Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling. CoRR abs/2210.00993 (2022) - [i14]Peng Wu, Tales Imbiriba, Victor Elvira, Pau Closas:
Bayesian data fusion with shared priors. CoRR abs/2212.07311 (2022) - 2021
- [j35]Mateu Sbert, Jordi Poch, Shuning Chen, Víctor Elvira:
Stochastic Order and Generalized Weighted Mean Invariance. Entropy 23(6): 662 (2021) - [j34]Shalini Sharma, Víctor Elvira, Emilie Chouzenoux, Angshul Majumdar:
Recurrent dictionary learning for state-space models with an application in stock forecasting. Neurocomputing 450: 1-13 (2021) - [j33]Luca Martino, Víctor Elvira:
Compressed Monte Carlo with application in particle filtering. Inf. Sci. 553: 331-352 (2021) - [j32]Víctor Elvira, Joaquín Míguez, Petar M. Djuric:
On the performance of particle filters with adaptive number of particles. Stat. Comput. 31(6): 81 (2021) - [j31]Ali Mousavi, Reza Monsefi, Víctor Elvira:
Hamiltonian Adaptive Importance Sampling. IEEE Signal Process. Lett. 28: 713-717 (2021) - [j30]Ignacio Santamaría, Víctor Elvira:
An Efficient Sampling Scheme for the Eigenvalues of Dual Wishart Matrices. IEEE Signal Process. Lett. 28: 2177-2181 (2021) - [j29]Luca Martino, Víctor Elvira, Javier López-Santiago, Gustau Camps-Valls:
Compressed Particle Methods for Expensive Models With Application in Astronomy and Remote Sensing. IEEE Trans. Aerosp. Electron. Syst. 57(5): 2607-2621 (2021) - [j28]Yunshi Huang, Emilie Chouzenoux, Víctor Elvira:
Probabilistic Modeling and Inference for Sequential Space-Varying Blur Identification. IEEE Trans. Computational Imaging 7: 531-546 (2021) - [j27]Víctor Elvira, Luca Martino, Pau Closas:
Importance Gaussian Quadrature. IEEE Trans. Signal Process. 69: 474-488 (2021) - [j26]Víctor Elvira, Ignacio Santamaría:
Multiple Importance Sampling for Symbol Error Rate Estimation of Maximum-Likelihood Detectors in MIMO Channels. IEEE Trans. Signal Process. 69: 1200-1212 (2021) - [j25]Alec Koppel, Amrit Singh Bedi, Brian M. Sadler, Víctor Elvira:
Nearly Consistent Finite Particle Estimates in Streaming Importance Sampling. IEEE Trans. Signal Process. 69: 6401-6415 (2021) - [c54]Jakub Matousek, Jindrich Duník, Marek Brandner, Victor Elvira:
Comparison of Discrete and Continuous State Estimation with Focus on Active Flux Scheme. FUSION 2021: 1-8 - [c53]Ondrej Straka, Jindrich Duník, Víctor Elvira:
Importance Gauss-Hermite Gaussian Filter for Models with Non-Additive Non-Gaussian Noises. FUSION 2021: 1-7 - [c52]Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Emilie Chouzenoux, Víctor Elvira, Angshul Majumdar, Anil Bandhakavi, Tanmoy Chakraborty:
Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter. KDD 2021: 2732-2742 - [c51]Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira:
Simulated Annealing: a Review and a New Scheme. SSP 2021: 101-105 - [c50]Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado:
A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design. SSP 2021: 301-305 - [c49]Nicola Branchini, Víctor Elvira:
Optimized auxiliary particle filters: adapting mixture proposals via convex optimization. UAI 2021: 1289-1299 - [i13]Fernando Llorente, Ernesto Curbelo, Luca Martino, Victor Elvira, David Delgado:
MCMC-driven importance samplers. CoRR abs/2105.02579 (2021) - [i12]Luca Martino, Víctor Elvira:
Compressed Monte Carlo with application in particle filtering. CoRR abs/2107.08459 (2021) - [i11]Luca Martino, Víctor Elvira, Javier López-Santiago, Gustau Camps-Valls:
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing. CoRR abs/2107.08465 (2021) - [i10]David Luengo, Luca Martino, Mónica F. Bugallo, Victor Elvira, Simo Särkkä:
A Survey of Monte Carlo Methods for Parameter Estimation. CoRR abs/2107.11820 (2021) - 2020
- [j24]Fernando Llorente-Fernández, Luca Martino, Victor Elvira, David Delgado, Javier López-Santiago:
Adaptive Quadrature Schemes for Bayesian Inference via Active Learning. IEEE Access 8: 208462-208483 (2020) - [j23]David Luengo, Luca Martino, Mónica F. Bugallo, Víctor Elvira, Simo Särkkä:
A survey of Monte Carlo methods for parameter estimation. EURASIP J. Adv. Signal Process. 2020(1): 25 (2020) - [c48]Emilie Chouzenoux, Víctor Elvira:
Graphem: EM Algorithm for Blind Kalman Filtering Under Graphical Sparsity Constraints. ICASSP 2020: 5840-5844 - [c47]Luca Martino, Víctor Elvira, Gustau Camps-Valls:
Particle Group Metropolis Methods for Tracking the Leaf Area Index. ICASSP 2020: 5865-5869 - [i9]Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado, Javier López-Santiago:
Adaptive quadrature schemes for Bayesian inference via active learning. CoRR abs/2006.00535 (2020)
2010 – 2019
- 2019
- [j22]Victor Elvira, Ignacio Santamaría:
Multiple Importance Sampling for Efficient Symbol Error Rate Estimation. IEEE Signal Process. Lett. 26(3): 420-424 (2019) - [j21]Ömer Deniz Akyildiz, Emilie Chouzenoux, Víctor Elvira, Joaquín Míguez:
A Probabilistic Incremental Proximal Gradient Method. IEEE Signal Process. Lett. 26(8): 1257-1261 (2019) - [j20]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): 145-152 (2019) - [j19]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): 143-155 (2019) - [c46]Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Víctor Elvira:
Compressed Streaming Importance Sampling for Efficient Representations of Localization Distributions. ACSSC 2019: 477-481 - [c45]Víctor Elvira, Ignacio Santamaría:
Efficient SER Estimation for MIMO Detectors via Importance Sampling Schemes. ACSSC 2019: 712-716 - [c44]Yunshi Huang, Emilie Chouzenoux, Víctor Elvira:
Particle Filtering for Online Space-Varying Blur Identification. CAMSAP 2019: 544-548 - [c43]Yousef El-Laham, Víctor Elvira, Mónica F. Bugallo:
Recursive Shrinkage Covariance Learning in Adaptive Importance Sampling. CAMSAP 2019: 624-628 - [c42]Yousef El-Laham, Luca Martino, Víctor Elvira, Mónica F. Bugallo:
Efficient Adaptive Multiple Importance Sampling. EUSIPCO 2019: 1-5 - [c41]Victor Elvira, Pau Closas, Luca Martino:
Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance Sampling Interpretation. EUSIPCO 2019: 1-5 - [c40]Víctor Elvira, Emilie Chouzenoux:
Langevin-based Strategy for Efficient Proposal Adaptation in Population Monte Carlo. ICASSP 2019: 5077-5081 - [i8]Víctor Elvira, Ignacio Santamaría:
Multiple Importance Sampling for Efficient Symbol Error Rate Estimation. CoRR abs/1901.04918 (2019) - [i7]Alec Koppel, Amrit Singh Bedi, Victor Elvira, Brian M. Sadler:
Approximate Shannon Sampling in Importance Sampling: Nearly Consistent Finite Particle Estimates. CoRR abs/1909.10279 (2019) - 2018
- [j18]Luca Martino, Víctor Elvira, Gustau Camps-Valls:
The Recycling Gibbs sampler for efficient learning. Digit. Signal Process. 74: 1-13 (2018) - [j17]David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo:
Efficient linear fusion of partial estimators. Digit. Signal Process. 78: 265-283 (2018) - [j16]Luca Martino, Víctor Elvira, Gustau Camps-Valls:
Group Importance Sampling for particle filtering and MCMC. Digit. Signal Process. 82: 133-151 (2018) - [j15]Yousef El-Laham, Victor Elvira, Mónica F. Bugallo:
Robust Covariance Adaptation in Adaptive Importance Sampling. IEEE Signal Process. Lett. 25(7): 1049-1053 (2018) - [j14]Mateu Sbert, Vlastimil Havran, László Szirmay-Kalos, Víctor Elvira:
Multiple importance sampling characterization by weighted mean invariance. Vis. Comput. 34(6-8): 843-852 (2018) - [c39]Victor Elvira, Luca Martino, Mónica F. Bugallo, Petar M. Djuric:
In Search for Improved Auxiliary Particle Filters. EUSIPCO 2018: 1637-1641 - [c38]Steven Van Vaerenbergh, Ignacio Santamaría, Victor Elvira, Matteo Salvatori:
Pattern Localization in Time Series Through Signal-To-Model Alignment in Latent Space. ICASSP 2018: 2711-2715 - [c37]Ömer Deniz Akyildiz, Victor Elvira, Joaquín Míguez:
The Incremental Proximal Method: A Probabilistic Perspective. ICASSP 2018: 4279-4283 - [c36]Luca Martino, Victor Elvira, Gustau Camps-Valls:
Distributed Particle Metropolis-Hastings Schemes. SSP 2018: 553-557 - [c35]Luca Martino, Victor Elvira, Joaquín Míguez, Antonio Artés-Rodríguez, Petar M. Djuric:
A Comparison Of Clipping Strategies For Importance Sampling. SSP 2018: 558-562 - [i6]Steven Van Vaerenbergh, Ignacio Santamaría, Victor Elvira, Matteo Salvatori:
Pattern Localization in Time Series through Signal-To-Model Alignment in Latent Space. CoRR abs/1802.05910 (2018) - 2017
- [j13]Luca Martino, Jesse Read, Víctor Elvira, Francisco Louzada:
Cooperative parallel particle filters for online model selection and applications to urban mobility. Digit. Signal Process. 60: 172-185 (2017) - [j12]Luca Martino, Victor Elvira, David Luengo, Jukka Corander:
Layered adaptive importance sampling. Stat. Comput. 27(3): 599-623 (2017) - [j11]Víctor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Improving population Monte Carlo: Alternative weighting and resampling schemes. Signal Process. 131: 77-91 (2017) - [j10]Luca Martino, Víctor Elvira, Francisco Louzada:
Effective sample size for importance sampling based on discrepancy measures. Signal Process. 131: 386-401 (2017) - [j9]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): 60-79 (2017) - [j8]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): 1781-1794 (2017) - [c34]Oliver Lang, Víctor Elvira, Mario Huemer:
Estimation of real valued impulse responses based on noisy magnitude and phase measurements. ACSSC 2017: 772-777 - [c33]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Population Monte Carlo schemes with reduced path degeneracy. CAMSAP 2017: 1-5 - [c32]Luca Martino, Victor Elvira, Gustau Camps-Valls:
Recycling Gibbs sampling. EUSIPCO 2017: 171-175 - [c31]Luca Martino, Victor Elvira, Gustau Camps-Valls:
Group metropolis sampling. EUSIPCO 2017: 201-205 - [c30]Luca Martino, Victor Elvira, David Luengo:
Anti-tempered layered adaptive importance sampling. DSP 2017: 1-5 - [i5]Luca Martino, Victor Elvira, Gustau Camps-Valls:
Group Importance Sampling for Particle Filtering and MCMC. CoRR abs/1704.02771 (2017) - 2016
- [j7]Luca Martino, Víctor Elvira, David Luengo, Jukka Corander, Francisco Louzada:
Orthogonal parallel MCMC methods for sampling and optimization. Digit. Signal Process. 58: 64-84 (2016) - [j6]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Heretical Multiple Importance Sampling. IEEE Signal Process. Lett. 23(10): 1474-1478 (2016) - [c29]Mónica F. Bugallo, Victor Elvira, Luca Martino:
A new strategy for effective learning in population Monte Carlo sampling. ACSSC 2016: 1540-1544 - [c28]David Luengo, Victor Elvira:
Latent Variable Analysis of Causal Interactions in Atrial Fibrillation Electrograms. CinC 2016 - [c27]David Luengo, Gonzalo Rios-Muñoz, Victor Elvira, Antonio Artés-Rodríguez:
A hierarchical algorithm for causality discovery among atrial fibrillation electrograms. ICASSP 2016: 774-778 - [c26]Luca Martino, Victor Elvira, David Luengo, Francisco Louzada:
Parallel metropolis chains with cooperative adaptation. ICASSP 2016: 3974-3978 - [c25]Victor Elvira, Joaquín Míguez, Petar M. Djuric:
Online adaptation of the number of particles of SMC methods. ICASSP 2016: 4378-4382 - [c24]Victor Elvira, Joaquín Míguez, Petar M. Djuric:
A novel algorithm for adapting the number of particles in particle filtering. SAM 2016: 1-5 - [c23]Luca Martino, Victor Elvira, David Luengo, Francisco Louzada:
Adaptive population importance samplers: A general perspective. SAM 2016: 1-5 - [c22]Steven Van Vaerenbergh, Jesus Fernandez-Bes, Victor Elvira:
On the relationship between online Gaussian process regression and kernel least mean squares algorithms. MLSP 2016: 1-6 - [c21]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Multiple importance sampling with overlapping sets of proposals. SSP 2016: 1-5 - [c20]Luca Martino, Victor Elvira, Francisco Louzada:
Weighting a resampled particle in Sequential Monte Carlo. SSP 2016: 1-5 - [c19]Luca Martino, Victor Elvira, Francisco Louzada:
Alternative effective sample size measures for importance sampling. SSP 2016: 1-5 - [i4]Steven Van Vaerenbergh, Jesus Fernandez-Bes, Víctor Elvira:
On the Relationship between Online Gaussian Process Regression and Kernel Least Mean Squares Algorithms. CoRR abs/1609.03164 (2016) - [i3]Luca Martino, Victor Elvira, Gustau Camps-Valls:
The Recycling Gibbs Sampler for Efficient Learning. CoRR abs/1611.07056 (2016) - 2015
- [j5]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Efficient Multiple Importance Sampling Estimators. IEEE Signal Process. Lett. 22(10): 1757-1761 (2015) - [j4]Luca Martino, Victor Elvira, David Luengo, Jukka Corander:
An Adaptive Population Importance Sampler: Learning From Uncertainty. IEEE Trans. Signal Process. 63(16): 4422-4437 (2015) - [c18]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
On sample generation and weight calculation in multiple importance sampling. ACSSC 2015: 1709-1713 - [c17]David Luengo, Luca Martino, Victor Elvira, Mónica F. Bugallo:
Bias correction for distributed Bayesian estimators. CAMSAP 2015: 253-256 - [c16]David Luengo, Gonzalo Rios-Muñoz, Víctor Elvira:
Causality Analysis of Atrial Fibrillation Electrograms. CinC 2015: 585-588 - [c15]Luca Martino, Victor Elvira, David Luengo, Jukka Corander:
Parallel interacting Markov adaptive importance sampling. EUSIPCO 2015: 499-503 - [c14]Jesus Fernandez-Bes, Víctor Elvira, Steven Van Vaerenbergh:
A probabilistic least-mean-squares filter. ICASSP 2015: 2199-2203 - [c13]Luca Martino, Víctor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander:
Smelly parallel MCMC chains. ICASSP 2015: 4070-4074 - [c12]Víctor Elvira, Luca Martino, David Luengo, Jukka Corander:
A gradient adaptive population importance sampler. ICASSP 2015: 4075-4079 - [c11]David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo:
Efficient linear combination of partial Monte Carlo estimators. ICASSP 2015: 4100-4104 - [i2]Jesus Fernandez-Bes, Víctor Elvira, Steven Van Vaerenbergh:
A Probabilistic Least-Mean-Squares Filter. CoRR abs/1501.06929 (2015) - [i1]Luca Martino, Victor Elvira, David Luengo, Jukka Corander:
Layered Adaptive Importance Sampling. CoRR abs/1505.04732 (2015) - 2014
- [c10]Luca Martino, Victor Elvira, David Luengo, Jukka Corander:
An adaptive population importance sampler. ICASSP 2014: 8038-8042 - [c9]Victor Elvira, Alfredo Nazábal-Renteria, Antonio Artés-Rodríguez:
A novel feature extraction technique for human activity recognition. SSP 2014: 177-180 - [c8]Luca Martino, Victor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander:
Orthogonal MCMC algorithms. SSP 2014: 364-367 - 2012
- [j3]Victor Elvira, Javier Vía:
Analog antenna combining in transmit correlated channels: Transceiver design and performance evaluation. Signal Process. 92(3): 757-766 (2012) - 2011
- [j2]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: 207 (2011) - [c7]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: 1-8 - 2010
- [j1]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): 2155-2167 (2010) - [c6]Javier Vía, Ignacio Santamaría, Victor Elvira, Ralf Eickhoff:
A General Pre-FFT Criterion for MIMO-OFDM Beamforming. ICC 2010: 1-5 - [c5]Victor Elvira, Jesús Ibáñez, Ignacio Santamaría, Milos Krstic, Klaus Tittelbach-Helmrich, Zoran Stamenkovic:
Baseband processor for RF-MIMO WLAN. ICECS 2010: 798-801
2000 – 2009
- 2009
- [c4]Victor Elvira, Javier Vía:
Diversity techniques for RF-beamforming in MIMO-OFDM systems: Design and performance evaluation. EUSIPCO 2009: 451-455 - [c3]Javier Vía, Victor Elvira, Ignacio Santamaría, Ralf Eickhoff:
Minimum BER beamforming in the RF domain for OFDM transmissions and linear receivers. ICASSP 2009: 2513-2516 - [c2]Javier Vía, Victor Elvira, Ignacio Santamaría, Ralf Eickhoff:
Analog Antenna Combining for Maximum Capacity Under OFDM Transmissions. ICC 2009: 1-5 - 2008
- [c1]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: 1-5
Coauthor Index
[j43] [j33] [j29] [j27] [c50] [i13] [i12] [i11] [i10] [j24] [j23] [c47] [i9] [j20] [c42] [c41] [j18] [j17] [j16] [c39] [c36] [c35] [j13] [j12] [j11] [j10] [j9] [c33] [c32] [c31] [c30] [i5] [j7] [j6] [c29] [c26] [c23] [c21] [c20] [c19] [i3] [j5] [j4] [c18] [c17] [c15] [c13] [c12] [c11] [i1] [c10] [c8]
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