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researcher

Matthew J. Hirn

2 papers hereh-index 222.8k citations73 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CG1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedNervePool: A Simplicial Pooling Layer

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CG2026★ 1 cited

NervePool: A Simplicial Pooling Layer

Sarah McGuire Scullen, Ernst Röell, Elizabeth Munch +2

For deep learning problems on graph-structured data, pooling layers are important for down sampling, reducing computational cost, and to minimize overfitting. We define a pooling l…

stat.ML2025

Geometric Scattering on Measure Spaces

Joyce Chew, Matthew Hirn, Smita Krishnaswamy +5

The scattering transform is a multilayered, wavelet-based transform initially introduced as a model of convolutional neural networks (CNNs) that has played a foundational role in o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.