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08/16/2023
Reproducing Kernel Hilbert Space Pruning for Sparse Hyperspectral Abundance Prediction
Hyperspectral measurements from long range sensors can give a detailed p...
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11/19/2022
Neural frames: A Tool for Studying the Tangent Bundles Underlying Image Datasets and How Deep Learning Models Process Them
The assumption that many forms of high-dimensional data, such as images,...
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11/14/2022
Do Neural Networks Trained with Topological Features Learn Different Internal Representations?
There is a growing body of work that leverages features extracted via to...
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05/27/2022
On the Symmetries of Deep Learning Models and their Internal Representations
Symmetry has been a fundamental tool in the exploration of a broad range...
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04/01/2022
TopTemp: Parsing Precipitate Structure from Temper Topology
Technological advances are in part enabled by the development of novel m...
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03/15/2022
Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps
While it is not generally reflected in the `nice' datasets used for benc...
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12/03/2021
Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing
Advanced manufacturing techniques have enabled the production of materia...
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02/10/2021
A Topological Approach for Motion Track Discrimination
Detecting small targets at range is difficult because there is not enoug...
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11/17/2020