Picture for Mathieu Chalvidal

Mathieu Chalvidal

A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation

Add code
Jun 11, 2023
Figure 1 for A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
Figure 2 for A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
Figure 3 for A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
Figure 4 for A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
Viaarxiv icon

Learning Functional Transduction

Add code
Feb 01, 2023
Viaarxiv icon

Xplique: A Deep Learning Explainability Toolbox

Add code
Jun 09, 2022
Figure 1 for Xplique: A Deep Learning Explainability Toolbox
Viaarxiv icon

A Discourse on MetODS: Meta-Optimized Dynamical Synapses for Meta-Reinforcement Learning

Add code
Feb 04, 2022
Figure 1 for A Discourse on MetODS: Meta-Optimized Dynamical Synapses for Meta-Reinforcement Learning
Figure 2 for A Discourse on MetODS: Meta-Optimized Dynamical Synapses for Meta-Reinforcement Learning
Figure 3 for A Discourse on MetODS: Meta-Optimized Dynamical Synapses for Meta-Reinforcement Learning
Figure 4 for A Discourse on MetODS: Meta-Optimized Dynamical Synapses for Meta-Reinforcement Learning
Viaarxiv icon

Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis

Add code
Nov 07, 2021
Figure 1 for Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
Figure 2 for Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
Figure 3 for Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
Figure 4 for Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
Viaarxiv icon

KuraNet: Systems of Coupled Oscillators that Learn to Synchronize

Add code
May 06, 2021
Figure 1 for KuraNet: Systems of Coupled Oscillators that Learn to Synchronize
Figure 2 for KuraNet: Systems of Coupled Oscillators that Learn to Synchronize
Figure 3 for KuraNet: Systems of Coupled Oscillators that Learn to Synchronize
Figure 4 for KuraNet: Systems of Coupled Oscillators that Learn to Synchronize
Viaarxiv icon

Neural Optimal Control for Representation Learning

Add code
Jun 16, 2020
Figure 1 for Neural Optimal Control for Representation Learning
Figure 2 for Neural Optimal Control for Representation Learning
Figure 3 for Neural Optimal Control for Representation Learning
Figure 4 for Neural Optimal Control for Representation Learning
Viaarxiv icon