topological data analysis

Multiparameter Persistence Image for Topological Machine Learning NeurIPS 2020 Multiparameter Persistence Landscapes JMLR 2020 PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures AISTATS 2020 PLLay: Efficient Topological Layer based on Persistent Landscapes NeurIPS 2020 Robust Persistence Diagrams using Reproducing Kernels NeurIPS 2020 Topological Autoencoders ICML 2020 Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence NeurIPS 2020 A Persistent Weisfeiler-Lehman Procedure for Graph Classification ICML 2019 Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction IJCAI 2019 Learning Representations of Persistence Barcodes JMLR 2019 Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology ICLR 2019 Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams JMLR 2019 Persistence Bag-of-Words for Topological Data Analysis IJCAI 2019 Polynomial Representation for Persistence Diagram CVPR 2019 Topological Data Analysis of Decision Boundaries with Application to Model Selection ICML 2019 Kernel Method for Persistence Diagrams via Kernel Embedding and Weight Factor JMLR 2018 Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams NeurIPS 2018 Robust Topological Inference: Distance To a Measure and Kernel Distance JMLR 2018 Statistical Analysis and Parameter Selection for Mapper JMLR 2018 Topological mixture estimation ICML 2018 To Trust Or Not To Trust A Classifier NeurIPS 2018 Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data ICML 2017 Deep Learning with Topological Signatures NeurIPS 2017 Sliced Wasserstein Kernel for Persistence Diagrams ICML 2017 Persistence weighted Gaussian kernel for topological data analysis ICML 2016