69 citations · 85 across the 4 of their papers we have counts for
4 papers
Dynamic Vine Copulas: Detecting and Quantifying Time-Varying Higher-Order Interactions
Houman Safaai, Alessandro Marin Vargas
Time-varying dependence is often modeled with dynamic correlations or Gaussian graphical models, but multivariate systems can change through tail behavior, asymmetry, or conditiona…
Latent Exploration for Reinforcement Learning
Alberto Silvio Chiappa, Alessandro Marin Vargas, Ann Zixiang Huang +1
In Reinforcement Learning, agents learn policies by exploring and interacting with the environment. Due to the curse of dimensionality, learning policies that map high-dimensional…
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body
Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis
Biological and artificial agents need to deal with constant changes in the real world. We study this problem in four classical continuous control environments, augmented with morph…
Measuring and modeling the motor system with machine learning
Sébastien B. Hausmann, Alessandro Marin Vargas, Alexander Mathis +1
The utility of machine learning in understanding the motor system is promising a revolution in how to collect, measure, and analyze data. The field of movement science already eleg…