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cs.LG2024
The FIX Benchmark: Extracting Features Interpretable to eXperts
Helen Jin, Shreya Havaldar, Chaehyeon Kim +10
Feature-based methods are commonly used to explain model predictions, but these methods often implicitly assume that interpretable features are readily available. However, this is…
astro-ph.CO2024
Dimensionality Reduction Techniques for Statistical Inference in Cosmology
Minsu Park, Marco Gatti, Bhuvnesh Jain
We explore linear and non-linear dimensionality reduction techniques for statistical inference of parameters in cosmology. Given the importance of compressing the increasingly comp…
astro-ph.CO2024★ 1 cited
Improving Convolutional Neural Networks for Cosmological Fields with Random Permutation
Kunhao Zhong, Marco Gatti, Bhuvnesh Jain
Convolutional Neural Networks (CNNs) have recently been applied to cosmological fields -- weak lensing mass maps and galaxy maps. However, cosmological maps differ in several ways…