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.
Updated recap of recent work and applications
This presentation was given at the Grenoble Artificial Intelligence for Physical Sciences.
News
- Updated presentation of the project ”2024/05/29”This presentation was given at the Grenoble Artificial Intelligence for Physical Sciences.”[…
- Updated recap of the method and applications ”2023/10/03”This poster was presented at the of the Information theory in Geosciences and at the Inria’s prospective seminar.”[…
- Concaust article published! ”2022/02/11””[…
The Concaust method has been published in the Chaos Journal. The preprint is available on ArXiv.org
- World Wide Whale ”2021/07/06”We are going to work on whale communication! Check the dedicated site at . We received funding to recruit a postdoctoral researcher. This strenghtens our long-lasting collaboration with whale experts.”[…
- 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.