Benjamin Kompa

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 9

Top Topics

Boltzmann Machine

Generative Model

Top Venues

npj Digit. Medicine

Publications

Benjamin Kompa, David R. Bellamy, Thomas Kolokotrones, James M. Robins, Andrew Beam
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction. NeurIPS (2022)
Benjamin Kompa, David R. Bellamy, Thomas Kolokotrones, James M. Robins, Andrew L. Beam
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction. CoRR (2022)
Benjamin Kompa, Jasper Snoek, Andrew L. Beam
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures. Entropy 23 (12) (2021)
Benjamin Kompa, Jasper Snoek, Andrew L. Beam
Second opinion needed: communicating uncertainty in medical machine learning. npj Digit. Medicine 4 (2021)
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)
Benjamin Kompa, Jasper Snoek, Andrew Beam
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures. CoRR (2020)
Benjamin Kompa, Beau Coker
Learning a Latent Space of Highly Multidimensional Cancer Data. PSB (2020)
Benjamin Kompa, Beau Coker
Learning a Generative Model of Cancer Metastasis. CoRR (2019)
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 (2018)