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Nicholas Glaze

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Conference and Workshop Papers

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2023
[c2]
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Nicholas Glaze, Artun Bayer, Xiaoqian Jiang, Sean I. Savitz, Santiago Segarra:
Graph Representation Learning For Stroke Recurrence Prediction. ICASSP 2023: 1-5
2021
[c1]
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  - conf/icml/RoddenberryGS21
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T. Mitchell Roddenberry, Nicholas Glaze, Santiago Segarra:
Principled Simplicial Neural Networks for Trajectory Prediction. ICML 2021: 9020-9029

Informal and Other Publications

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2024
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  - journals/corr/abs-2411-11325
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Nicholas Glaze, Tria McNeely, Yiwen Zhu, Matthew Gleeson, Helen Serr, Rajeev Bhopi, Subru Krishnan:
Lorentz: Learned SKU Recommendation Using Profile Data. CoRR abs/2411.11325 (2024)
2021
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  - journals/corr/abs-2102-10058
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Nicholas Glaze, T. Mitchell Roddenberry, Santiago Segarra:
Principled Simplicial Neural Networks for Trajectory Prediction. CoRR abs/2102.10058 (2021)

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