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Nathan Safir

Nathan S. Safir

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Conference and Workshop Papers

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2023
[c4]
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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/aistats/KlemmerSN23
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  - https://dblp.org/rec/conf/aistats/KlemmerSN23
Konstantin Klemmer, Nathan S. Safir, Daniel B. Neill:
Positional Encoder Graph Neural Networks for Geographic Data. AISTATS 2023: 1379-1389
2022
[c3]
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  dblp key:
  - conf/scipy/GodwinZSHQ22
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  persistent URL:
  - https://dblp.org/rec/conf/scipy/GodwinZSHQ22
Curtis Godwin, Meekail Zain, Nathan Safir, Bella Humphrey, Shannon P. Quinn:
Incorporating Task-Agnostic Information in Task-Based Active Learning Using a Variational Autoencoder. SciPy 2022: 110-114
[c2]
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  - conf/scipy/SafirZGMHQ22
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Nathan Safir, Meekail Zain, Curtis Godwin, Eric Miller, Bella Humphrey, Shannon P. Quinn:
Variational Autoencoders For Semi-Supervised Deep Metric Learning. SciPy 2022: 231-239
2020
[c1]
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  - conf/scipy/ZainRSWHELAQ20
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Meekail Zain, Sonia Rao, Nathan Safir, Quinn Wyner, Isabella Humphrey, Alex Eldridge, Chenxiao Li, BahaaEddin AlAila, Shannon Quinn:
Towards an Unsupervised Spatiotemporal Representation of Cilia Video Using A Modular Generative Pipeline. SciPy 2020: 166-

Informal and Other Publications

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2021
[i1]
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  dblp key:
  - journals/corr/abs-2111-10144
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Konstantin Klemmer, Nathan Safir, Daniel B. Neill:
Positional Encoder Graph Neural Networks for Geographic Data. CoRR abs/2111.10144 (2021)

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