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Louis Annabi

2 accepted papers

2026

Disentangled representation learning through unsupervised symmetry group discovery

ICLR 2026poster

Symmetry-based disentangled representation learning leverages the group structure of environment transformations to uncover the latent factors of variation. Prior approaches to symmetry-based disentanglement have required strong prior knowledge of the symmetry group's structure, or restrictive assum…

Cited by 0SourceScholar
2022

On the relationship between variational inference and auto-associative memory

NeurIPS 2022accept

In this article, we propose a variational inference formulation of auto-associative memories, allowing us to combine perceptual inference and memory retrieval into the same mathematical framework. In this formulation, the prior probability distribution onto latent representations is made memory depe…