Concept
Causal closure
Publications associées (4)
The arrow-of-time in neuroimaging time series identifies causal triggers of brain function
Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Maria Giulia Preti, Enrico Amico, Raphaël Pierre Liégeois
Moving from association to causal analysis of neuroimaging data is crucial to advance our understanding of brain function. The arrow-of-time (AoT), that is, the known asymmetric nature of the passage of time, is the bedrock of causal structures shaping phy ...
WILEY2023The irreducibility of vision: Gestalt, crowding and the fundamentals of vision
What is fundamental in vision has been discussed for millennia. For philosophical realists and the physiological approach to vision, the objects of the outer world are truly given, and failures to perceive objects properly, such as in illusions, are just s ...
2022CauseOccam: Learning Interpretable Abstract Representations in Reinforcement Learning Environments via Model Sparsity
"I choose this restaurant because they have vegan sandwiches" could be a typical explanation we would expect from a human. However, current Reinforcement Learning (RL) techniques are not able to provide such explanations, when trained on raw pixels. RL alg ...
2021Distributed Time Series Analytics
In recent years time series data has become ubiquitous thanks to affordable sensors and advances in embedded technology. Large amount of time-series data are continuously produced in a wide spectrum of applications, such as sensor networks, medical monitor ...
EPFL2017