# On Maximum Entropy Linear Feature Inversion

arXiv: https://arxiv.org/abs/2407.14166 · HTML: https://mlsanity.com/paper/2407.14166/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
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- First posted on arXiv 19 Jul 2024.

## Abstract (arXiv)

We revisit the classical problem of inverting dimension-reducing linear mappings using the maximum entropy (MaxEnt) criterion. In the literature, solutions are problem-dependent, inconsistent, and use different entropy measures. We propose a new unified approach that not only specializes to the existing approaches, but offers solutions to new cases, such as when data values are constrained to [0, 1], which has new applications in machine learning.