4 citations · 7 across the 10 of their papers we have counts for
5 papers · 1 filter
A Statistical Learning Take on the Concordance Index for Survival Analysis
Alex Nowak-Vila, Kevin Elgui, Genevieve Robin
The introduction of machine learning (ML) techniques to the field of survival analysis has increased the flexibility of modeling approaches, and ML based models have become state-o…
Generative methods for sampling transition paths in molecular dynamics
Tony Lelièvre, Geneviève Robin, Inass Sekkat +2
Molecular systems often remain trapped for long times around some local minimum of the potential energy function, before switching to another one -- a behavior known as metastabili…
Inference of Multiscale Gaussian Graphical Model
Do Edmond Sanou, Christophe Ambroise, Geneviève Robin
Gaussian Graphical Models (GGMs) are widely used in high-dimensional data analysis to synthesize the interaction between variables. In many applications, such as genomics or image…
Outliers Detection in Networks with Missing Links
Solenne Gaucher, Olga Klopp, Geneviève Robin
Outliers arise in networks due to different reasons such as fraudulent behavior of malicious users or default in measurement instruments and can significantly impair network analys…
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
Geneviève Robin, Hoi-To Wai, Julie Josse +2
Many applications of machine learning involve the analysis of large data frames-matrices collecting heterogeneous measurements (binary, numerical, counts, etc.) across samples-with…