Matthew Hirn
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Associate Professor
United StatesResearch Interests
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About
Matthew Hirn is an Associate Professor at Michigan State University in the United States. His research focuses on areas such as graph neural networks, diffusion geometry, and statistical methods for multi-reference alignment. Recent publications have explored topics including unbiasing power spectra, modeling biased random walks on networks, and using wavelet scattering networks in atomistic systems.
Recent Grants
Grant: Close
Finding emergent structure in multi-sample biological data with the dual geometry of cells and features
Open Date: 2019-09-23
Close Date: 2023-08-31
Grant: Close
Collaborative Research: Data-driven Path Metrics for Machine Learning
Open Date: 2019-07-15
Close Date: 2021-06-30
Grant: Close
CAREER: Understanding Invariant Convolutional Neural Networks through Many Particle Physics
Open Date: 2019-07-01
Close Date: 2024-06-30
Grant: Close
Provable Machine Learning Algorithms for Scientific Computation
Open Date: 2016-09-01
Close Date: 2020-09-01
Grant: Close
Deep Wavelet Scattering for Quantum Many Body Physics
Open Date: 2016-09-01
Close Date: 2020-09-01
Articles (9)
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2024
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2023
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2023
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2023
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2023
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2021
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2020
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2020
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2020
Collaborators (4)
Bastian Rieck
Technical University of Munich
Smita Krishnaswamy
Associate Professor
Yale University
Arjun Krishnan
Associate Professor | Group Leader | Computational Biology & Biomedical Informatics
University of Colorado Anschutz Medical Campus
David van Dijk
Assistant Professor
Yale University
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