Picture for Agathe Guilloux

Agathe Guilloux

LSTA

Dynamical Survival Analysis with Controlled Latent States

Add code
Jan 30, 2024
Viaarxiv icon

On the Generalization Capacities of Neural Controlled Differential Equations

Add code
May 29, 2023
Viaarxiv icon

Learning the Dynamics of Sparsely Observed Interacting Systems

Add code
Jan 27, 2023
Figure 1 for Learning the Dynamics of Sparsely Observed Interacting Systems
Figure 2 for Learning the Dynamics of Sparsely Observed Interacting Systems
Figure 3 for Learning the Dynamics of Sparsely Observed Interacting Systems
Figure 4 for Learning the Dynamics of Sparsely Observed Interacting Systems
Viaarxiv icon

SurvCaus : Representation Balancing for Survival Causal Inference

Add code
Mar 29, 2022
Figure 1 for SurvCaus : Representation Balancing for Survival Causal Inference
Figure 2 for SurvCaus : Representation Balancing for Survival Causal Inference
Figure 3 for SurvCaus : Representation Balancing for Survival Causal Inference
Figure 4 for SurvCaus : Representation Balancing for Survival Causal Inference
Viaarxiv icon

Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework

Add code
Jul 25, 2018
Figure 1 for Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework
Figure 2 for Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework
Figure 3 for Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework
Figure 4 for Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework
Viaarxiv icon

Binacox: automatic cut-points detection in high-dimensional Cox model, with applications to genetic data

Add code
Jul 25, 2018
Figure 1 for Binacox: automatic cut-points detection in high-dimensional Cox model, with applications to genetic data
Figure 2 for Binacox: automatic cut-points detection in high-dimensional Cox model, with applications to genetic data
Figure 3 for Binacox: automatic cut-points detection in high-dimensional Cox model, with applications to genetic data
Figure 4 for Binacox: automatic cut-points detection in high-dimensional Cox model, with applications to genetic data
Viaarxiv icon

ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection

Add code
Jan 25, 2018
Figure 1 for ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection
Figure 2 for ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection
Figure 3 for ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection
Figure 4 for ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection
Viaarxiv icon

High-dimensional robust regression and outliers detection with SLOPE

Add code
Dec 07, 2017
Figure 1 for High-dimensional robust regression and outliers detection with SLOPE
Figure 2 for High-dimensional robust regression and outliers detection with SLOPE
Figure 3 for High-dimensional robust regression and outliers detection with SLOPE
Figure 4 for High-dimensional robust regression and outliers detection with SLOPE
Viaarxiv icon

C-mix: a high dimensional mixture model for censored durations, with applications to genetic data

Add code
Nov 25, 2017
Figure 1 for C-mix: a high dimensional mixture model for censored durations, with applications to genetic data
Figure 2 for C-mix: a high dimensional mixture model for censored durations, with applications to genetic data
Figure 3 for C-mix: a high dimensional mixture model for censored durations, with applications to genetic data
Figure 4 for C-mix: a high dimensional mixture model for censored durations, with applications to genetic data
Viaarxiv icon

Binarsity: a penalization for one-hot encoded features

Add code
Nov 25, 2017
Figure 1 for Binarsity: a penalization for one-hot encoded features
Figure 2 for Binarsity: a penalization for one-hot encoded features
Figure 3 for Binarsity: a penalization for one-hot encoded features
Figure 4 for Binarsity: a penalization for one-hot encoded features
Viaarxiv icon