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Samuel Berchuck

Samuel I. Berchuck

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2020 – today

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2023
[j1]
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  dblp key:
  - journals/jbi/ChenEHBEPSD23
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  - https://dblp.org/rec/journals/jbi/ChenEHBEPSD23
Junya Chen, Matthew Engelhard, Ricardo Henao, Samuel Berchuck, Brian Eichner, Eliana M. Perrin, Guillermo Sapiro, Geraldine Dawson:
Enhancing early autism prediction based on electronic records using clinical narratives. J. Biomed. Informatics 144: 104390 (2023)
[c3]
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  dblp key:
  - conf/nips/BaekB023
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  - https://dblp.org/rec/conf/nips/BaekB023
Youngsoo Baek, Samuel Berchuck, Sayan Mukherjee:
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression. NeurIPS 2023
[i2]
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  - journals/corr/abs-2306-03783
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  - https://dblp.org/rec/journals/corr/abs-2306-03783
Youngsoo Baek, Samuel I. Berchuck, Sayan Mukherjee:
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression. CoRR abs/2306.03783 (2023)
2021
[c2]
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  - conf/naacl/SubramanianEBCH21
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Vivek Subramanian, Matthew Engelhard, Samuel Berchuck, Liqun Chen, Ricardo Henao, Lawrence Carin:
SpanPredict: Extraction of Predictive Document Spans with Neural Attention. NAACL-HLT 2021: 5234-5258
2020
[c1]
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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/mlhc/EngelhardBDH20
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Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao:
Neural Conditional Event Time Models. MLHC 2020: 223-244
[i1]
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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2004-01376
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Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao:
Neural Conditional Event Time Models. CoRR abs/2004.01376 (2020)

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