Victor Elvira

Pramod K. Varshney

Moe Z. Win

IEEE Trans. Signal Inf. Process. over Networks, 2024

Hierarchical Average Fusion With GM-PHD Filters Against FDI and DoS Attacks.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2024

2023

Efficient bayes inference in neural networks through adaptive importance sampling.

[BibT_eX]

[DOI]

Yunshi Huang

Jean-Christophe Pesquet

J. Frankl. Inst., November, 2023

A point mass proposal method for Bayesian state-space model fitting.

[BibT_eX]

[DOI]

Stat. Comput., October, 2023

Gradient-based adaptive importance samplers.

[BibT_eX]

[DOI]

J. Frankl. Inst., September, 2023

Sparse Bayesian Estimation of Parameters in Linear-Gaussian State-Space Models.

[BibT_eX]

[DOI]

Benjamin Cox

IEEE Trans. Signal Process., 2023

Deep State-Space Model for Predicting Cryptocurrency Price.

[BibT_eX]

[DOI]

CoRR, 2023

Graphs in State-Space Models for Granger Causality in Climate Science.

[BibT_eX]

[DOI]

CoRR, 2023

Sparse Graphical Linear Dynamical Systems.

[BibT_eX]

[DOI]

CoRR, 2023

GraphIT: Iterative reweighted 𝓁<sub>1</sub> algorithm for sparse graph inference in state-space models.

[BibT_eX]

[DOI]

CoRR, 2023

Differentiable Bootstrap Particle Filters for Regime-Switching Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

An Augmented Gaussian Sum Filter through a mixture Decomposition.

[BibT_eX]

[DOI]

Kostas Tsampourakis

Proceedings of the IEEE International Conference on Acoustics, 2023

Adaptive Gaussian Nested Filter for Parameter Estimation and State Tracking in Dynamical Systems.

[BibT_eX]

[DOI]

Sara Pérez-Vieites

Proceedings of the IEEE International Conference on Acoustics, 2023

Adaptive Simulated Annealing Through Alternating Rényi Divergence Minimization.

[BibT_eX]

[DOI]

Thomas Guilmeau

Proceedings of the IEEE International Conference on Acoustics, 2023

Graphit: Iterative Reweighted ℓ1 Algorithm for Sparse Graph Inference in State-Space Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Redistribution Networks for Resampling.

[BibT_eX]

[DOI]

Michael Lunglmayr

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

State and Dynamics Estimation with the Kalman-Langevin filter.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Graphical Inference in Linear-Gaussian State-Space Models.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Optimized Population Monte Carlo.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Generalizing the Balance Heuristic Estimator in Multiple Importance Sampling.

[BibT_eX]

[DOI]

Mateu Sbert

Entropy, 2022

A sensor selection approach to maneuvering target tracking based on trajectory function of time.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2022

Bayesian data fusion with shared priors.

[BibT_eX]

[DOI]

CoRR, 2022

Learning with MISELBO: The Mixture Cookbook.

[BibT_eX]

[DOI]

CoRR, 2022

Approximating The Likelihood Ratio in Linear-Gaussian State-Space Models for Change Detection.

[BibT_eX]

[DOI]

Kostas Tsampourakis

Proceedings of the IEEE International Conference on Acoustics, 2022

Proximal-Based Adaptive Simulated Annealing for Global Optimization.

[BibT_eX]

[DOI]

Thomas Guilmeau

Proceedings of the IEEE International Conference on Acoustics, 2022

Parameter Estimation in Sparse Linear-Gaussian State-Space Models via Reversible Jump Markov Chain Monte Carlo.

[BibT_eX]

[DOI]

Benjamin Cox

Proceedings of the 30th European Signal Processing Conference, 2022

Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Nearly Consistent Finite Particle Estimates in Streaming Importance Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Multiple Importance Sampling for Symbol Error Rate Estimation of Maximum-Likelihood Detectors in MIMO Channels.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Importance Gaussian Quadrature.

[BibT_eX]

[DOI]

Pau Closas

IEEE Trans. Signal Process., 2021

Probabilistic Modeling and Inference for Sequential Space-Varying Blur Identification.

[BibT_eX]

[DOI]

Yunshi Huang

IEEE Trans. Computational Imaging, 2021

Compressed Particle Methods for Expensive Models With Application in Astronomy and Remote Sensing.

[BibT_eX]

[DOI]

Javier López-Santiago

IEEE Trans. Aerosp. Electron. Syst., 2021

An Efficient Sampling Scheme for the Eigenvalues of Dual Wishart Matrices.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2021

Hamiltonian Adaptive Importance Sampling.

[BibT_eX]

[DOI]

Ali Mousavi

Reza Monsefi

IEEE Signal Process. Lett., 2021

On the performance of particle filters with adaptive number of particles.

[BibT_eX]

[DOI]

Stat. Comput., 2021

Compressed Monte Carlo with application in particle filtering.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Recurrent dictionary learning for state-space models with an application in stock forecasting.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Stochastic Order and Generalized Weighted Mean Invariance.

[BibT_eX]

[DOI]

Entropy, 2021

MCMC-driven importance samplers.

[BibT_eX]

[DOI]

CoRR, 2021

Optimized auxiliary particle filters: adapting mixture proposals via convex optimization.

[BibT_eX]

[DOI]

Nicola Branchini

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Simulated Annealing: a Review and a New Scheme.

[BibT_eX]

[DOI]

Thomas Guilmeau

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Importance Gauss-Hermite Gaussian Filter for Models with Non-Additive Non-Gaussian Noises.

[BibT_eX]

[DOI]

Ondrej Straka

Jindrich Duník

Fernando Llorente-Fernández

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Comparison of Discrete and Continuous State Estimation with Focus on Active Flux Scheme.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020

A survey of Monte Carlo methods for parameter estimation.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2020

Adaptive Quadrature Schemes for Bayesian Inference via Active Learning.

[BibT_eX]

[DOI]

David Delgado

Javier López-Santiago

IEEE Access, 2020

Particle Group Metropolis Methods for Tracking the Leaf Area Index.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Graphem: EM Algorithm for Blind Kalman Filtering Under Graphical Sparsity Constraints.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2019

Elucidating the Auxiliary Particle Filter via Multiple Importance Sampling [Lecture Notes].

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2019

Multiple Importance Sampling for Efficient Symbol Error Rate Estimation.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2019

A Probabilistic Incremental Proximal Gradient Method.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2019

Approximate Shannon Sampling in Importance Sampling: Nearly Consistent Finite Particle Estimates.

[BibT_eX]

[DOI]

CoRR, 2019

Langevin-based Strategy for Efficient Proposal Adaptation in Population Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance Sampling Interpretation.

[BibT_eX]

[DOI]

Pau Closas

Proceedings of the 27th European Signal Processing Conference, 2019

Efficient Adaptive Multiple Importance Sampling.

[BibT_eX]

[DOI]

Proceedings of the 27th European Signal Processing Conference, 2019

Particle Filtering for Online Space-Varying Blur Identification.

[BibT_eX]

[DOI]

Yunshi Huang

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Recursive Shrinkage Covariance Learning in Adaptive Importance Sampling.

[BibT_eX]

[DOI]

Yousef El-Laham

Mónica F. Bugallo

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Efficient SER Estimation for MIMO Detectors via Importance Sampling Schemes.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Compressed Streaming Importance Sampling for Efficient Representations of Localization Distributions.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Multiple importance sampling characterization by weighted mean invariance.

[BibT_eX]

[DOI]

Vis. Comput., 2018

Robust Covariance Adaptation in Adaptive Importance Sampling.

[BibT_eX]

[DOI]

Yousef El-Laham

Mónica F. Bugallo

IEEE Signal Process. Lett., 2018

Group Importance Sampling for particle filtering and MCMC.

[BibT_eX]

[DOI]

Digit. Signal Process., 2018

The Recycling Gibbs sampler for efficient learning.

[BibT_eX]

[DOI]

Digit. Signal Process., 2018

Efficient linear fusion of partial estimators.

[BibT_eX]

[DOI]

Digit. Signal Process., 2018

A Comparison Of Clipping Strategies For Importance Sampling.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Distributed Particle Metropolis-Hastings Schemes.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Pattern Localization in Time Series Through Signal-To-Model Alignment in Latent Space.

[BibT_eX]

[DOI]

Steven Van Vaerenbergh

Matteo Salvatori

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

The Incremental Proximal Method: A Probabilistic Perspective.

[BibT_eX]

[DOI]

Ömer Deniz Akyildiz

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

In Search for Improved Auxiliary Particle Filters.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Adapting the Number of Particles in Sequential Monte Carlo Methods Through an Online Scheme for Convergence Assessment.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Adaptive Importance Sampling: The past, the present, and the future.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2017

Effective sample size for importance sampling based on discrepancy measures.

[BibT_eX]

[DOI]

Francisco Louzada

Signal Process., 2017

Improving population Monte Carlo: Alternative weighting and resampling schemes.

[BibT_eX]

[DOI]

Signal Process., 2017

Layered adaptive importance sampling.

[BibT_eX]

[DOI]

Stat. Comput., 2017

Cooperative parallel particle filters for online model selection and applications to urban mobility.

[BibT_eX]

[DOI]

Digit. Signal Process., 2017

Anti-tempered layered adaptive importance sampling.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Group metropolis sampling.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

Recycling Gibbs sampling.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

Population Monte Carlo schemes with reduced path degeneracy.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Estimation of real valued impulse responses based on noisy magnitude and phase measurements.

[BibT_eX]

[DOI]

Oliver Lang

Mario Huemer

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Heretical Multiple Importance Sampling.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2016

Orthogonal parallel MCMC methods for sampling and optimization.

[BibT_eX]

[DOI]

Digit. Signal Process., 2016

Alternative effective sample size measures for importance sampling.

[BibT_eX]

[DOI]

Francisco Louzada

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Weighting a resampled particle in Sequential Monte Carlo.

[BibT_eX]

[DOI]

Francisco Louzada

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Multiple importance sampling with overlapping sets of proposals.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

On the relationship between online Gaussian process regression and kernel least mean squares algorithms.

[BibT_eX]

[DOI]

Steven Van Vaerenbergh

Jesus Fernandez-Bes

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Adaptive population importance samplers: A general perspective.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

A novel algorithm for adapting the number of particles in particle filtering.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Parallel metropolis chains with cooperative adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A hierarchical algorithm for causality discovery among atrial fibrillation electrograms.

[BibT_eX]

[DOI]

Gonzalo Rios-Muñoz

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Online adaptation of the number of particles of SMC methods.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Latent Variable Analysis of Causal Interactions in Atrial Fibrillation Electrograms.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

A new strategy for effective learning in population Monte Carlo sampling.

[BibT_eX]

[DOI]

Mónica F. Bugallo

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

An Adaptive Population Importance Sampler: Learning From Uncertainty.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Efficient Multiple Importance Sampling Estimators.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2015

Smelly parallel MCMC chains.

[BibT_eX]

[DOI]

Jukka Corander

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Efficient linear combination of partial Monte Carlo estimators.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A probabilistic least-mean-squares filter.

[BibT_eX]

[DOI]

Jesus Fernandez-Bes

Steven Van Vaerenbergh

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A gradient adaptive population importance sampler.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Parallel interacting Markov adaptive importance sampling.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Signal Processing Conference, 2015

Causality Analysis of Atrial Fibrillation Electrograms.

[BibT_eX]

[DOI]

Gonzalo Rios-Muñoz

Proceedings of the Computing in Cardiology, 2015

Bias correction for distributed Bayesian estimators.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

On sample generation and weight calculation in multiple importance sampling.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Orthogonal MCMC algorithms.

[BibT_eX]

[DOI]

Jukka Corander

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

A novel feature extraction technique for human activity recognition.

[BibT_eX]

[DOI]

Alfredo Nazábal-Renteria

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

An adaptive population importance sampler.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

2012

Analog antenna combining in transmit correlated channels: Transceiver design and performance evaluation.

[BibT_eX]

[DOI]

Klaus Tittelbach-Helmrich

Javier Vía

Signal Process., 2012

2011

MAC and baseband processors for RF-MIMO WLAN.

[BibT_eX]

[DOI]

Zoran Stamenkovic

EURASIP J. Wirel. Commun. Netw., 2011

Physical layer amendments for MIMO features in 802.11a.

[BibT_eX]

[DOI]

Ralf Eickhoff

Klaus Tittelbach-Helmrich

Proceedings of the 2011 Future Network & Mobile Summit, Warsaw, Poland, June 15-17, 2011, 2011

2010

A general criterion for analog Tx-Rx beamforming under OFDM transmissions.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Baseband processor for RF-MIMO WLAN.

[BibT_eX]

[DOI]

Klaus Tittelbach-Helmrich

Zoran Stamenkovic

Proceedings of the 17th IEEE International Conference on Electronics, 2010

A General Pre-FFT Criterion for MIMO-OFDM Beamforming.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2010

2009

Analog Antenna Combining for Maximum Capacity Under OFDM Transmissions.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2009

Minimum BER beamforming in the RF domain for OFDM transmissions and linear receivers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Diversity techniques for RF-beamforming in MIMO-OFDM systems: Design and performance evaluation.

[BibT_eX]

[DOI]