33 citations · 35 across the 5 of their papers we have counts for
4 papers · 1 filter
Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs
Vilde B. Gjærum, Inga Strümke, Anastasios M. Lekkas +1
Although many machine learning methods, especially from the field of deep learning, have been instrumental in addressing challenges within robotic applications, we cannot take full…
Reinforcement Learning in an Adaptable Chess Environment for Detecting Human-understandable Concepts
Patrik Hammersborg, Inga Strümke
Self-trained autonomous agents developed using machine learning are showing great promise in a variety of control settings, perhaps most remarkably in applications involving autono…
Interpretable machine learning in Physics
Christophe Grojean, Ayan Paul, Zhuoni Qian +1
Adding interpretability to multivariate methods creates a powerful synergy for exploring complex physical systems with higher order correlations while bringing about a degree of cl…
Socioeconomic disparities and COVID-19: the causal connections
Tannista Banerjee, Ayan Paul, Vishak Srikanth +1
The analysis of causation is a challenging task that can be approached in various ways. With the increasing use of machine learning based models in computational socioeconomics, ex…