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cs.LG2025
Revisiting Deep Information Propagation: Fractal Frontier and Finite-size Effects
Giuseppe Alessio D'Inverno, Zhiyuan Hu, Leo Davy +3
Information propagation characterizes how input correlations evolve across layers in deep neural networks. This framework has been well studied using mean-field theory, which assum…
cs.LG2025★ 1 cited
Sensitivity-Aware Density Estimation in Multiple Dimensions
Aleix Boquet-Pujadas, Pol del Aguila Pla, Michael Unser
We formulate an optimization problem to estimate probability densities in the context of multidimensional problems that are sampled with uneven probability. It considers detector s…