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Benjamin Kompa
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2020 – today
- 2022
- [c3]Benjamin Kompa, David R. Bellamy, Thomas Kolokotrones, James M. Robins, Andrew Beam:
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction. NeurIPS 2022 - [i4]Benjamin Kompa, David R. Bellamy, Thomas Kolokotrones, James M. Robins, Andrew L. Beam:
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction. CoRR abs/2205.09824 (2022) - 2021
- [j2]Benjamin Kompa
, Jasper Snoek, Andrew L. Beam
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures. Entropy 23(12): 1608 (2021) - [j1]Benjamin Kompa
Second opinion needed: communicating uncertainty in medical machine learning. npj Digit. Medicine 4 (2021) - 2020
- [c2]Andrew L. Beam, Benjamin Kompa, Allen Schmaltz, Inbar Fried, Griffin M. Weber, Nathan P. Palmer, Xu Shi, Tianxi Cai, Isaac S. Kohane:
Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data. PSB 2020: 295-306 - [c1]Benjamin Kompa, Beau Coker:
Learning a Latent Space of Highly Multidimensional Cancer Data. PSB 2020: 379-390 - [i3]Benjamin Kompa, Jasper Snoek, Andrew Beam:
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures. CoRR abs/2010.03039 (2020)
2010 – 2019
- 2019
- [i2]Benjamin Kompa, Beau Coker:
Learning a Generative Model of Cancer Metastasis. CoRR abs/1901.06023 (2019) - 2018
- [i1]Andrew L. Beam, Benjamin Kompa, Inbar Fried, Nathan P. Palmer, Xu Shi, Tianxi Cai, Isaac S. Kohane:
Clinical Concept Embeddings Learned from Massive Sources of Medical Data. CoRR abs/1804.01486 (2018)
Coauthor Index
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