| 2025 | ICASSP | Subset Adaptive Importance Sampling for Multi-Failure-Region Estimation. | Sara Helal, Victor Elvira |
| 2024 | AISTATS | Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization. | Thomas Guilmeau, Nicola Branchini, Emilie Chouzenoux, Victor Elvira |
| 2022 | AISTATS | Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations. | Oskar Kviman, Harald Melin, Hazal Koptagel, Victor Elvira, Jens Lagergren |
| 2021 | FUSION | Comparison of Discrete and Continuous State Estimation with Focus on Active Flux Scheme. | Jakub Matousek, Jindrich Dunk, Marek Brandner, Victor Elvira |
| 2018 | ICASSP | The Incremental Proximal Method: A Probabilistic Perspective. | mer Deniz Akyildiz, Victor Elvira, Joaqun Mguez |
| 2018 | ICASSP | Pattern Localization in Time Series Through Signal-To-Model Alignment in Latent Space. | Steven Van Vaerenbergh, Ignacio Santamara, Victor Elvira, Matteo Salvatori |
| 2016 | ACSSC | A new strategy for effective learning in population Monte Carlo sampling. | Mnica F. Bugallo, Victor Elvira, Luca Martino |
| 2016 | ICASSP | Online adaptation of the number of particles of SMC methods. | Victor Elvira, Joaqun Mguez, Petar M. Djuric |
| 2016 | ICASSP | A hierarchical algorithm for causality discovery among atrial fibrillation electrograms. | David Luengo, Gonzalo R. Ros-Muoz, Victor Elvira, Antonio Arts-Rodrguez |
| 2016 | ICASSP | Parallel metropolis chains with cooperative adaptation. | Luca Martino, Victor Elvira, David Luengo, Francisco Louzada |
| 2015 | ACSSC | On sample generation and weight calculation in multiple importance sampling. | Victor Elvira, Luca Martino, David Luengo, Mnica F. Bugallo |
| 2014 | ICASSP | An adaptive population importance sampler. | Luca Martino, Victor Elvira, David Luengo, Jukka Corander |
| 2009 | ICASSP | Minimum BER beamforming in the RF domain for OFDM transmissions and linear receivers. | Javier Va, Victor Elvira, Ignacio Santamara, Ralf Eickhoff |