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Jayden Parker Vap

Jay Vap

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2025
[c5]
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  dblp key:
  - conf/hpdc/ShehayibVK25
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  - https://dblp.org/rec/conf/hpdc/ShehayibVK25
Reem Shehayib, Jayden Parker Vap, Peter M. Kogge:
Building Flexible Physics-Informed Neural Networks with Fast Fourier Transform Analysis. HPDC 2025: 51:1-51:5
[c4]
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  - conf/icdm/VapSK25
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Jay Vap, Reem Shehayib, Peter M. Kogge:
JORTs: Jenk's Optimization for Restrictive Training. ICDM (Workshops) 2025: 510-519
2024
[c3]
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  - conf/exhet/KoggeVP24
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Peter Michael Kogge, Jayden Parker Vap, Derek Pepple:
Preparing for Future Heterogeneous Systems Using Migrating Threads. ExHET@PPoPP 2024: 15-22
[c2]
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  - conf/ipps/VapK24
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Jay Vap, Peter M. Kogge:
RIMR: Reverse Influence Maximization Rank. IPDPS (Workshops) 2024: 805-814
2023
[i1]
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  dblp key:
  - journals/corr/abs-2310-03675
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Martin Schiemer, Clemens JS Schaefer, Jayden Parker Vap, Mark James Horeni, Yu Emma Wang, Juan Ye, Siddharth Joshi:
Hadamard Domain Training with Integers for Class Incremental Quantized Learning. CoRR abs/2310.03675 (2023)
2022
[c1]
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  dblp key:
  - conf/www/HuCVB22
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Hui Hu, Lu Cheng, Jayden Parker Vap, Mike Borowczak:
Learning Privacy-Preserving Graph Convolutional Network with Partially Observed Sensitive Attributes. WWW 2022: 3552-3561

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