3 papers
stat.ML2026
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…
cs.RO2023
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…
q-bio.QM2021
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…