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cs.LG2025
When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective
Beatrix M. G. Nielsen, Emanuele Marconato, Andrea Dittadi +1
When and why representations learned by different deep neural networks are similar is an active research topic. We choose to address these questions from the perspective of identif…
stat.ML2025★ 1 cited
What is causal about causal models and representations?
Frederik Hytting Jørgensen, Luigi Gresele, Sebastian Weichwald
Causal Bayesian networks are often described as causal because they support reasoning about interventions. Yet interventions are defined in the mathematical model, whereas the resu…