62 citations · 125 across the 26 of their papers we have counts for
5 papers · 1 filter
Learning soft interventions in complex equilibrium systems
Michel Besserve, Bernhard Schölkopf
Complex systems often contain feedback loops that can be described as cyclic causal models. Intervening in such systems may lead to counterintuitive effects, which cannot be inferr…
Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations
Michel Besserve, Naji Shajarisales, Dominik Janzing +1
Distinguishing between cause and effect using time series observational data is a major challenge in many scientific fields. A new perspective has been provided based on the princi…
Exploring the Latent Space of Autoencoders with Interventional Assays
Felix Leeb, Stefan Bauer, Michel Besserve +1
Autoencoders exhibit impressive abilities to embed the data manifold into a low-dimensional latent space, making them a staple of representation learning methods. However, without…
Independent mechanism analysis, a new concept?
Luigi Gresele, Julius von Kügelgen, Vincent Stimper +2
Independent component analysis provides a principled framework for unsupervised representation learning, with solid theory on the identifiability of the latent code that generated…
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Julius von Kügelgen, Yash Sharma, Luigi Gresele +4
Self-supervised representation learning has shown remarkable success in a number of domains. A common practice is to perform data augmentation via hand-crafted transformations inte…