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06/01/2023
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior
Pre-trained machine learning (ML) models have shown great performance fo...
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01/25/2023
Fast Merge Tree Computation via SYCL
A merge tree is a topological descriptor of a real-valued function. Merg...
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03/31/2022
Topological Optimization with Big Steps
Using persistent homology to guide optimization has emerged as a novel a...
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12/07/2021
Output-sensitive Computation of Generalized Persistence Diagrams for 2-filtrations
When persistence diagrams are formalized as the Mobius inversion of the ...
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11/10/2020
Topological Regularization via Persistence-Sensitive Optimization
Optimization, a key tool in machine learning and statistics, relies on r...
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10/30/2020
PersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction
Understanding protein structure-function relationships is a key challeng...
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10/01/2020
Persistent homology advances interpretable machine learning for nanoporous materials
Machine learning for nanoporous materials design and discovery has emerg...
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01/16/2020
Robust Topological Descriptors for Machine Learning Prediction of Guest Adsorption in Nanoporous Materials
In recent years, machine learning (ML) for predicting material propertie...
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10/30/2017