research
∙
06/11/2023
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
In recent years, concept-based approaches have emerged as some of the mo...
share
research
∙
02/01/2023
Learning Functional Transduction
Research in Machine Learning has polarized into two general regression a...
research
∙
06/09/2022
Xplique: A Deep Learning Explainability Toolbox
Today's most advanced machine-learning models are hardly scrutable. The ...
research
∙
02/04/2022
A Discourse on MetODS: Meta-Optimized Dynamical Synapses for Meta-Reinforcement Learning
Recent meta-reinforcement learning work has emphasized the importance of...
research
∙
11/07/2021
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
We describe a novel attribution method which is grounded in Sensitivity ...
research
∙
05/06/2021
KuraNet: Systems of Coupled Oscillators that Learn to Synchronize
Networks of coupled oscillators are some of the most studied objects in ...
research
∙
06/16/2020
Neural Optimal Control for Representation Learning
The intriguing connections recently established between neural networks ...
research
∙
02/06/2020
