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Found 3 papers, 1 papers with code
Git Re-Basin: Merging Models modulo Permutation Symmetries
The success of deep learning is due in large part to our ability to solve certain massive non-convex optimization problems with relative ease.
oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis
Deep generative models have recently yielded encouraging results in producing subjectively realistic samples of complex data.
Disentangled VAE Representations for Multi-Aspect and Missing Data
Many problems in machine learning and related application areas are fundamentally variants of conditional modeling and sampling across multi-aspect data, either multi-view, multi-modal, or simply multi-group.
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