Pierre Chainais
- Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference
2023/04/21 by Florentin Coeurdoux, Coeurdoux, Florentin, Nicolas Dobigeon +3 · 10 citations
Computer Science · #Bayesian Methods and Mixture Models #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing
- Quaternions in Signal and Image Processing: A comprehensive and objective overview
2023/09/01 by Sebastian Miron, Sébastian Miron, Julien Flamant +3 · 10 citations
Mathematics · Computer Science · Engineering · #Mathematical Analysis and Transform Methods #Image and Signal Denoising Methods #Sparse and Compressive Sensing Techniques
- Normalizing flow sampling with Langevin dynamics in the latent space
2023/05/20 by Florentin Coeurdoux, Coeurdoux, Florentin, Nicolas Dobigeon +3 · 2 citations
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
- A determinantal point process for column subset selection
2018/12/23 by Ayoub Belhadji, Belhadji, Ayoub, R. Bardenet +3 · 1 citation
Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
- Benchmarking multi-component signal processing methods in the time-frequency plane
2024/02/13 by Juan M. Miramont, Rémi Bardenet, Miramont, Juan M. +5 · 2 citations
Engineering · #Advanced Control and Stabilization in Aerospace Systems
- A Hierarchical Likelihood Model for Non-linear Inverse Problems under Additive and Multiplicative Noise
2026/07/24 by Nicolas Goeman, Pierre-Antoine Thouvenin, Pierre Chainais
#stat.ME #eess.SP