Kincaid MacDonald

According to our database, Kincaid MacDonald authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Flow Artist for High-Dimensional Cellular Data.

Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2022

Learnable Filters for Geometric Scattering Modules.

Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Data-Driven Learning of Geometric Scattering Modules for GNNs.

Alexander Tong, Frederick Wenkel, Kincaid MacDonald, Smita Krishnaswamy, Guy Wolf

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Diffusion Earth Mover's Distance and Distribution Embeddings.

Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Data-Driven Learning of Geometric Scattering Networks.

Alexander Tong, Frederik Wenkel, Kincaid MacDonald, Smita Krishnaswamy, Guy Wolf

CoRR, 2020