Chuan-Shen Hu, Austin Lawson, Yu-Min Chung, and Kaitlin Keegan, Two-parameter Persistence for Images via Distance Transform
Xiaofeng Ma, Michael Kirby, and Chris Peterson, The Flag Manifold as a Tool for Analyzing and Comparing Sets of Data Sets
Stephen Zhang, A unified framework for non-negative matrix and tensor factorisations with a smoothed Wasserstein loss
Amit Efraim and Joseph M Francos, Dual Transformation and Manifold Distances Voting for Outlier Rejection in Point Cloud Registration,
Yuval Haitman, Joseph M Francos, and Louis L. Scharf, Grassmannian Dimensionality Reduction for Optimized Universal Manifold Embedding Representation of 3D Point Clouds
Henry Kvinge, Brett Jefferson, Cliff Joslyn, and Emilie Purvine, Sheaves as a Framework for Understanding and Interpreting Model Fit
Yuliang Cai, Alexander Cloninger, Srinjoy Das, Sumit Mohan, Nilesh Jain, and Adithya M Niranjan, A Manifold Learning based Video Prediction approach for Deep Motion Transfer
Mark Blumstein and Henry Kvinge, Multi-Dimensional Scaling on Groups