Who are we?
We are a team of researchers studying complex systems. This started as a collaboration between members of the Geostat team at Inria Bordeaux and the Complexity Sciences Center at UC Davis. We are now labeled an official joint research project of the Inria@SiliconValley program.
We gladly welcome collaborators, both working on the theoretical aspects of our research agenda, and also on its practical applications. We can also recruit new people, both in France and in the US.
What do we do?
Our goal is to create practical algorithms that would reveal the hidden dynamics in scientific data sets, providing data interpretability, a feature often missing from concurrent machine learning and signal analysis models. Classical signal analysis is mostly built around frequency decomposition, correlations and power spectrum analysis. This tells the scales and locations at which energy is dissipated, but not how. We aim to go beyond this, by also characterizing what patterns hold information, at which scale, and how they transform.
- Post-doc job offers ! 2021/04/14 We have opened two postdoc offers. Please see the dedicated page for more information. […]
- Presentation of the Concaust method 2021/02/16 This presentation of the continuous causal states method was given at the Inference for Dynamical Systems seminar series. […]
- This associate team has been created! 2021/02/11 This project formalizes an ongoing collaboration between the Geostat team at Inria Bordeaux and the Complexity Sciences Center at UC Davis. We are part of the Inria@SiliconValley program. […]