BUFF: Boosted Decision Tree based Ultra-Fast Flow matching

arXiv:2404.18219v1 Announce Type: cross
Abstract: Tabular data stands out as one of the most frequently encountered types in high energy physics. Unlike commonly homogeneous data such as pixelated images, simulating high-dimensional tabular data and accurately capturing their correlations are often quite challenging, even with the most advanced architectures. Based on the findings that tree-based models surpass the performance of deep learning models for tasks specific to tabular data, we adopt the very recent generative modeling class named conditional flow matching …

abstract advanced architectures arxiv correlations cs.lg data decision energy flow hep-ex hep-ph images physics physics.data-an physics.ins-det tabular tabular data tree type types