research
∙
02/23/2023
A Statistical Learning Take on the Concordance Index for Survival Analysis
The introduction of machine learning (ML) techniques to the field of sur...
share
research
∙
05/05/2022
Generative methods for sampling transition paths in molecular dynamics
Molecular systems often remain trapped for long times around some local ...
research
∙
02/11/2022
Inference of Multiscale Gaussian Graphical Model
Gaussian Graphical Models (GGMs) are widely used for exploratory data an...
research
∙
11/03/2021
Federated Expectation Maximization with heterogeneity mitigation and variance reduction
The Expectation Maximization (EM) algorithm is the default algorithm for...
research
∙
08/17/2021
Technical report: Impact of evaluation metrics and sampling on the comparison of machine learning methods for biodiversity indicators prediction
Machine learning (ML) approaches are used more and more widely in biodiv...
research
∙
11/29/2019
Link Prediction in the Stochastic Block Model with Outliers
The Stochastic Block Model is a popular model for network analysis in th...
research
∙
12/20/2018
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
Many applications of machine learning involve the analysis of large data...
research
∙
06/26/2018
Main effects and interactions in mixed and incomplete data frames
A mixed data frame (MDF) is a table collecting categorical, numerical an...
research
∙
04/30/2018