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Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing.

S. Howland, L. Kassab, K. Kappagantula, H. Kvinge, and T. Emerson. CoRR, (2023)

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Michaela Karin Ingrid Henry

Madeleine Mary Henry

James Henry

David P Henry

Marie-Louise Henry

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ColMix - A Simple Data Augmentation Framework to Improve Object Detector Performance and Robustness in Aerial Images.C. Ly, G. Jorgenson, D. de Jesus, H. Kvinge, A. Attarian, and Y. Watkins. CoRR, (2023)Robustness of edited neural networks.D. Brown, C. Godfrey, C. Nizinski, J. Tu, and H. Kvinge. CoRR, (2023)Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps.E. Coda, N. Courts, C. Wight, L. Truong, W. Choi, C. Godfrey, T. Emerson, K. Kappagantula, and H. Kvinge. TAG-ML, volume 196 of Proceedings of Machine Learning Research, page 79-85. PMLR, (2022)How many dimensions are required to find an adversarial example?C. Godfrey, H. Kvinge, E. Bishoff, M. Mckay, D. Brown, T. Doster, and E. Byler. CVPR Workshops, page 2353-2360. IEEE, (2023)Sheaves as a Framework for Understanding and Interpreting Model Fit.H. Kvinge, B. Jefferson, C. Joslyn, and E. Purvine. ICCVW, page 4205-4213. IEEE, (2021)Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps.N. Courts, and H. Kvinge. CoRR, (2021)Fast computation of permutation equivariant layers with the partition algebra.C. Godfrey, M. Rawson, D. Brown, and H. Kvinge. CoRR, (2023)Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets.H. Kvinge, E. Farnell, M. Kirby, and C. Peterson. HPEC, page 1-7. IEEE, (2018)ICML 2023 Topological Deep Learning Challenge : Design and Results.M. Papillon, M. Hajij, F. Frantzen, J. Hoppe, H. Jenne, J. Mathe, A. Myers, T. Papamarkou, M. Schaub, G. Zamzmi and 38 other author(s). CoRR, (2023)Random Filters for Enriching the Discriminatory power of Topological Representations.G. Jorgenson, H. Kvinge, T. Emerson, and C. Olson. TAG-ML, volume 196 of Proceedings of Machine Learning Research, page 183-188. PMLR, (2022)

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Disambiguation of "Kvinge, Henry"

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Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing.

Please choose a person to relate this publication to

Michaela Karin Ingrid Henry

Madeleine Mary Henry

James Henry

David P Henry

Marie-Louise Henry

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kvinge, Henry"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing.

Please choose a person to relate this publication to

Michaela Karin Ingrid Henry

Madeleine Mary Henry

James Henry

David P Henry

Marie-Louise Henry

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing.