NeurIPS "high-dimensional data" Papers

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Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models

Louis Bethune, David Vigouroux, Yilun Du et al.

NeurIPS 2025posterarXiv:2505.18230
2
citations

Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling

Wanpeng Zhang, Yuhao Fang, Xihang Qiu et al.

NeurIPS 2025poster

QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification

Qian Tang, Yuwen Gu, Boxiang Wang

NeurIPS 2025poster