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math.ST2024
TrIM: Transformed Iterative Mondrian Forests for Gradient-based Dimension Reduction and High-Dimensional Regression
Ricardo Baptista, Eliza O'Reilly, Yangxinyu Xie
We propose a computationally efficient algorithm for gradient-based linear dimension reduction and high-dimensional regression. The algorithm initially computes a Mondrian forest a…
cs.LG2024
Neural Approximate Mirror Maps for Constrained Diffusion Models
Berthy T. Feng, Ricardo Baptista, Katherine L. Bouman
Diffusion models excel at creating visually-convincing images, but they often struggle to meet subtle constraints inherent in the training data. Such constraints could be physics-b…