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Sparsity
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Sparsity
Exploring the Design Space of Generative Diffusion Processes for Sparse Graphs
We extend score-based generative diffusion processes (GDPs) to sparse graphs and other inherently discrete data, with a focus on …
Pierre-André Noël
,
Pau Rodriguez
Workshop at the Neural Information Processing Systems (NeurIPS), 2022.
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Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA
This work introduces a novel principle we call disentanglement via mechanism sparsity regularization, which can be applied when the …
Sébastien Lachapelle
,
Pau Rodriguez
,
Yash Sharma
,
Katie Everett
,
Rémi Le Priol
,
Alexandre Lacoste
,
Simon Lacoste-Julien
Causal Learning and Reasoning (CLeaR), 2022.
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