Davies, Thomas

6 publications

ICML 2023 The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data Thomas Davies, Zhengchao Wan, Ruben J Sanchez-Garcia

NeurIPSW 2022 Fuzzy C-Means Clustering in Persistence Diagram Space for Deep Learning Model Selection Thomas Davies, Jack Aspinall, Bryan Wilder, Long Tran-Thanh

MLHC 2022 How Fair Is Your Graph? Exploring Fairness Concerns in Neuroimaging Studies Fernanda Ribeiro, Valentina Shumovskaia, Thomas Davies, Ira Ktena

CVPR 2021 UV-Net: Learning from Boundary Representations Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Karl D.D. Willis, Thomas Davies, Hooman Shayani, Nigel Morris

NeurIPSW 2020 Fuzzy C-Means Clustering for Persistence Diagrams Thomas Davies, Jack Aspinall, Bryan Wilder, Long Tran-Thanh

NeurIPSW 2020 Hypothesis Classes with a Unique Persistence Diagram Are NOT Nonuniformly Learnable Nicholas George Bishop, Thomas Davies, Long Tran-Thanh