MacDonald, Kincaid

5 publications

AISTATS 2025 Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy

ICMLW 2024 Geometry-Aware Autoencoders for Metric Learning and Generative Modeling on Data Manifolds Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy

NeurIPS 2022 Diffusion Curvature for Estimating Local Curvature in High Dimensional Data Dhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina, Dawson Thomas, Bastian Rieck, Ian Adelstein, Smita Krishnaswamy

ICLRW 2022 Diffusion-Based Methods for Estimating Curvature in Data Dhananjay Bhaskar, Kincaid MacDonald, Dawson Thomas, Sarah Zhao, Kisung You, Jennifer Paige, Yariv Aizenbud, Bastian Rieck, Ian M Adelstein, Smita Krishnaswamy

ICML 2021 Diffusion Earth Mover’s Distance and Distribution Embeddings Alexander Y Tong, Guillaume Huguet, Amine Natik, Kincaid Macdonald, Manik Kuchroo, Ronald Coifman, Guy Wolf, Smita Krishnaswamy