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On the Symmetries of Deep Learning Models and their Internal Representations



Charles Godfrey , Davis Brown , Tegan Emerson , Henry Kvinge

* CG and DB contributed equally 

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TopTemp: Parsing Precipitate Structure from Temper Topology



Lara Kassab , Scott Howland , Henry Kvinge , Keerti Sahithi Kappagantula , Tegan Emerson


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Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps



Elizabeth Coda , Nico Courts , Colby Wight , Loc Truong , WoongJo Choi , Charles Godfrey , Tegan Emerson , Keerti Kappagantula , Henry Kvinge


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DNA: Dynamic Network Augmentation



Scott Mahan , Tim Doster , Henry Kvinge


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Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing



Loc Truong , WoongJo Choi , Colby Wight , Lizzy Coda , Tegan Emerson , Keerti Kappagantula , Henry Kvinge


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Brittle interpretations: The Vulnerability of TCAV and Other Concept-based Explainability Tools to Adversarial Attack



Davis Brown , Henry Kvinge


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Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps



Nico Courts , Henry Kvinge

* 18 pages 

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A Topological-Framework to Improve Analysis of Machine Learning Model Performance



Henry Kvinge , Colby Wight , Sarah Akers , Scott Howland , Woongjo Choi , Xiaolong Ma , Luke Gosink , Elizabeth Jurrus , Keerti Kappagantula , Tegan H. Emerson

* 6 pages 

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Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions



Scott Mahan , Henry Kvinge , Tim Doster

* 10 pages, 6 figures, submitted to NeurIPS 2021 

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One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations



Henry Kvinge , Scott Howland , Nico Courts , Lauren A. Phillips , John Buckheit , Zachary New , Elliott Skomski , Jung H. Lee , Sandeep Tiwari , Jessica Hibler , Courtney D. Corley , Nathan O. Hodas

* 15 pages 

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