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05/15/2022
What is an equivariant neural network?
We explain equivariant neural networks, a notion underlying breakthrough...
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05/03/2022
Parameterized Vietoris-Rips Filtrations via Covers
A challenge in computational topology is to deal with large filtered geo...
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01/31/2022
Topology-Preserving Dimensionality Reduction via Interleaving Optimization
Dimensionality reduction techniques are powerful tools for data preproce...
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11/22/2021
Topological Regularization for Dense Prediction
Dense prediction tasks such as depth perception and semantic segmentatio...
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08/11/2021
Accelerating Iterated Persistent Homology Computations with Warm Starts
Persistent homology is a topological feature used in a variety of applic...
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07/02/2020
Clustering of Electromagnetic Showers and Particle Interactions with Graph Neural Networks in Liquid Argon Time Projection Chambers Data
Liquid Argon Time Projection Chambers (LArTPCs) are a class of detectors...
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11/25/2019
Persistent and Zigzag Homology: A Matrix Factorization Viewpoint
Over the past two decades, topological data analysis has emerged as a yo...
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09/26/2019
Modeling Electromagnetic Navigation Systems for Medical Applications using Random Forests and Artificial Neural Networks
Electromagnetic Navigation Systems (eMNS) can be used to control a varie...
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05/29/2019
