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07/18/2023
Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds
Machine learning for point clouds has been attracting much attention, wi...
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05/22/2023
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks
Despite their successful application to a variety of tasks, neural netwo...
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04/28/2023
Counterfactual Explanation with Missing Values
Counterfactual Explanation (CE) is a post-hoc explanation method that pr...
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10/27/2022
Vanishing Component Analysis with Contrastive Normalization
Vanishing component analysis (VCA) computes approximate generators of va...
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02/03/2022
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds
The use of topological descriptors in modern machine learning applicatio...
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06/18/2021
Curvature of point clouds through principal component analysis
In this article, we study curvature-like feature value of data sets in E...
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05/07/2021
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
Although neural networks are capable of reaching astonishing performance...
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12/22/2020
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization
Post-hoc explanation methods for machine learning models have been widel...
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10/16/2020
Optimizing persistent homology based functions
Solving optimization tasks based on functions and losses with a topologi...
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09/30/2019
ATOL: Measure Vectorisation for Automatic Topologically-Oriented Learning
Robust topological information commonly comes in the form of a set of pe...
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09/30/2019
ATOL: Automatic Topologically-Oriented Learning
There are abundant cases for using Topological Data Analysis (TDA) in a ...
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04/20/2019
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures
Persistence diagrams, the most common descriptors of Topological Data An...
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04/20/2019
PersLay: A Simple and Versatile Neural Network Layer for Persistence Diagrams
Persistence diagrams, a key descriptor from Topological Data Analysis, e...
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04/20/2019
A General Neural Network Architecture for Persistence Diagrams and Graph Classification
Graph classification is a difficult problem that has drawn a lot of atte...
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11/12/2018
