| 2025 | ICASSP | Learning a Sparse Polynomial Approximation to the Transition Function of General State-Space Models. | Benjamin Cox, milie Chouzenoux, Vctor Elvira |
| 2025 | MDAI | Dimensionality Reduction with Entropies from f-Divergences. | Mateu Sbert, Min Chen, Jordi Poch, Miquel Feixas, Shuning Chen, Vctor Elvira |
| 2024 | AISTATS | Variational Resampling. | Oskar Kviman, Nicola Branchini, Vctor Elvira, Jens Lagergren |
| 2024 | FUSION | Regime Learning for Differentiable Particle Filters. | John-Joseph Brady, Yuhui Luo, Wenwu Wang, Vctor Elvira, Yunpeng Li |
| 2024 | ICASSP | Graphical Inference in Non-Markovian Linear-Gaussian State-Space Models. | Emilie Chouzenoux, Vctor Elvira |
| 2024 | ICASSP | End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks. | Benjamin Cox, Sara Prez-Vieites, Nicolas Zilberstein, Martin Sevilla, Santiago Segarra, Vctor Elvira |
| 2024 | ICML | Efficient Mixture Learning in Black-Box Variational Inference. | Alexandra Hotti, Oskar Kviman, Ricky Moln, Vctor Elvira, Jens Lagergren |
| 2024 | IGARSS | WALGREEN: Web Based Platform for Soil Organic Carbon Inference Applications. | Jos Manuel Aroca, Jos-Francisco Dez-Pastor, Pedro Latorre-Carmona, Antonio Canepa-Oneto, Juan Carlos Rad, Gustau Camps-Valls, Vctor Elvira, Csar Garca-Osorio |
| 2023 | ACSSC | State and Dynamics Estimation with the Kalman-Langevin filter. | Martin Sevilla, Nicolas Zilberstein, Benjamin Cox, Sara Prez-Vieites, Vctor Elvira, Santiago Segarra |
| 2023 | ICASSP | Graphit: Iterative Reweighted ℓ1 Algorithm for Sparse Graph Inference in State-Space Models. | Emilie Chouzenoux, Vctor Elvira |
| 2023 | ICASSP | Adaptive Simulated Annealing Through Alternating Rnyi Divergence Minimization. | Thomas Guilmeau, Emilie Chouzenoux, Vctor Elvira |
| 2023 | ICASSP | Adaptive Gaussian Nested Filter for Parameter Estimation and State Tracking in Dynamical Systems. | Sara Prez-Vieites, Vctor Elvira |
| 2023 | ICASSP | An Augmented Gaussian Sum Filter through a mixture Decomposition. | Kostas Tsampourakis, Vctor Elvira |
| 2023 | ICML | Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders. | Oskar Kviman, Ricky Moln, Alexandra Hotti, Semih Kurt, Vctor Elvira, Jens Lagergren |
| 2022 | ICASSP | Proximal-Based Adaptive Simulated Annealing for Global Optimization. | Thomas Guilmeau, Emilie Chouzenoux, Vctor Elvira |
| 2022 | ICASSP | Approximating The Likelihood Ratio in Linear-Gaussian State-Space Models for Change Detection. | Kostas Tsampourakis, Vctor Elvira |
| 2021 | FUSION | Importance Gauss-Hermite Gaussian Filter for Models with Non-Additive Non-Gaussian Noises. | Ondrej Straka, Jindrich Dunk, Vctor Elvira |
| 2021 | KDD | Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter. | Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Emilie Chouzenoux, Vctor Elvira, Angshul Majumdar, Anil Bandhakavi, Tanmoy Chakraborty |
| 2021 | UAI | Optimized auxiliary particle filters: adapting mixture proposals via convex optimization. | Nicola Branchini, Vctor Elvira |
| 2020 | ICASSP | Graphem: EM Algorithm for Blind Kalman Filtering Under Graphical Sparsity Constraints. | Emilie Chouzenoux, Vctor Elvira |
| 2020 | ICASSP | Particle Group Metropolis Methods for Tracking the Leaf Area Index. | Luca Martino, Vctor Elvira, Gustau Camps-Valls |
| 2019 | ACSSC | Compressed Streaming Importance Sampling for Efficient Representations of Localization Distributions. | Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Vctor Elvira |
| 2019 | ACSSC | Efficient SER Estimation for MIMO Detectors via Importance Sampling Schemes. | Vctor Elvira, Ignacio Santamara |
| 2019 | ICASSP | Langevin-based Strategy for Efficient Proposal Adaptation in Population Monte Carlo. | Vctor Elvira, Emilie Chouzenoux |
| 2017 | ACSSC | Estimation of real valued impulse responses based on noisy magnitude and phase measurements. | Oliver Lang, Vctor Elvira, Mario Huemer |
| 2015 | ICASSP | A gradient adaptive population importance sampler. | Vctor Elvira, Luca Martino, David Luengo, Jukka Corander |
| 2015 | ICASSP | A probabilistic least-mean-squares filter. | Jesus Fernandez-Bes, Vctor Elvira, Steven Van Vaerenbergh |
| 2015 | ICASSP | Efficient linear combination of partial Monte Carlo estimators. | David Luengo, Luca Martino, Vctor Elvira, Mnica F. Bugallo |
| 2015 | ICASSP | Smelly parallel MCMC chains. | Luca Martino, Vctor Elvira, David Luengo, Antonio Arts-Rodrguez, Jukka Corander |