Object-Centric Causal Representation Learning
This is the official repository for the paper titled: Object-centric architectures enable efficient causal representation learning
Please stay tuned for a detailed and complete README. In the meantime, if there are any questions about the code, please use GitHub issues for this repo.
![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot]")
Hi there! I am implementing SA-MESH with another synthetic dataset, but I am experiencing some difficulties since slots are converging in a way that all of them bind to all objects (different regions though). My training loss is a sum over the log_prob of the true value of the latent variables in a posterior distribution that is defined with parameters predicted by the model... Is this behavior expected? Thank you in advance!
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