Kincaid MacDonald

15 papers A* 2A 1Misc 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A conf
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds.
AISTATS
Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy
2025 Misc conf
Principal Curvatures Estimation with Applications to Single Cell Data.
ICASSP
Yanlei Zhang, Lydia Mezrag, Xingzhi Sun, Charles Xu, Kincaid MacDonald, Dhananjay Bhaskar, Smita Krishnaswamy, Guy Wolf, Bastian Rieck
2025 J jnl
Principal Curvatures Estimation with Applications to Single Cell Data.
CoRR
Yanlei Zhang, Lydia Mezrag, Xingzhi Sun, Charles Xu, Kincaid MacDonald, Dhananjay Bhaskar, Smita Krishnaswamy, Guy Wolf, Bastian Rieck
2024 — conf
Binary Malware Attribution using LLM Embeddings and Topological Data Analysis.
CAMLIS
Kincaid MacDonald, Ajai Ruparelia, Boomer Rogers, Adonis Bovell, Branden Stone
2024 J jnl
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds.
CoRR
Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Chen Liu, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy
2024 J jnl
Learnable Filters for Geometric Scattering Modules.
IEEE Trans. Signal Process.
Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf
2023 — conf
A Flow Artist for High-Dimensional Cellular Data.
MLSP
Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy
2023 J jnl
A Flow Artist for High-Dimensional Cellular Data.
CoRR
Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy
2022 A* conf
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data.
NeurIPS
Dhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina, Dawson Thomas, Bastian Rieck, Ian Adelstein, Smita Krishnaswamy
2022 J jnl
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data.
CoRR
Dhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina, Dawson Thomas, Bastian Rieck, Ian Adelstein, Smita Krishnaswamy
2022 J jnl
Learnable Filters for Geometric Scattering Modules.
CoRR
Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf
2021 — conf
Data-Driven Learning of Geometric Scattering Modules for GNNs.
MLSP
Alexander Tong, Frederick Wenkel, Kincaid MacDonald, Smita Krishnaswamy, Guy Wolf
2021 A* conf
Diffusion Earth Mover's Distance and Distribution Embeddings.
ICML
Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy
2021 J jnl
Diffusion Earth Mover's Distance and Distribution Embeddings.
CoRR
Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy
2020 J jnl
Data-Driven Learning of Geometric Scattering Networks.
CoRR
Alexander Tong, Frederik Wenkel, Kincaid MacDonald, Smita Krishnaswamy, Guy Wolf