Search Results for author:
Found 5 papers, 3 papers with code
One-Shot Federated Conformal Prediction
In this paper, we introduce a conformal prediction method to construct prediction sets in a oneshot federated learning setting.
Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis
Recently, there has been growing interest in the analysis of spectrograms of ElectroEncephaloGram (EEG), particularly to study the neural correlates of (un)-consciousness during General Anesthesia (GA).
Robust Kernel Density Estimation with Median-of-Means principle
In this paper, we introduce a robust nonparametric density estimator combining the popular Kernel Density Estimation method and the Median-of-Means principle (MoM-KDE).
Learning the piece-wise constant graph structure of a varying Ising model
This work focuses on the estimation of multiple change-points in a time-varying Ising model that evolves piece-wise constantly.
Multivariate Convolutional Sparse Coding with Low Rank Tensor
This paper introduces a new multivariate convolutional sparse coding based on tensor algebra with a general model enforcing both element-wise sparsity and low-rankness of the activations tensors.
