Topological Data Analysis of Decision Boundaries with Application to Model Selection

25 May 2018

Papers citing "Topological Data Analysis of Decision Boundaries with Application to Model Selection"

8 / 8 papers shown

Title
Addressing caveats of neural persistence with deep graph persistence Leander Girrbach Anders Christensen Ole Winther Zeynep Akata A. Sophia Koepke GNN 20 1 0 20 Jul 2023
Deep neural networks architectures from the perspective of manifold learning German Magai AAML AI4CE 24 6 0 06 Jun 2023
Zeroth-Order Topological Insights into Iterative Magnitude Pruning Aishwarya H. Balwani J. Krzyston 29 2 0 14 Jun 2022
Topology and geometry of data manifold in deep learning German Magai A. Ayzenberg AAML 21 11 0 19 Apr 2022
HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques Angelos Chatzimparmpas F. Paulovich Andreas Kerren 24 6 0 29 Mar 2022
Topological Detection of Trojaned Neural Networks Songzhu Zheng Yikai Zhang H. Wagner Mayank Goswami Chao Chen AAML 29 40 0 11 Jun 2021
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs Théo Lacombe Yuichi Ike Mathieu Carrière Frédéric Chazal Marc Glisse Yuhei Umeda 21 20 0 07 May 2021
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images Anirudh Som Hongjun Choi K. Ramamurthy M. Buman P. Turaga 3DH 29 29 0 05 Jun 2019