Benjamin Kompa

According to our database, Benjamin Kompa authored at least 7 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Deep Learning Methods for Proximal Inference via Maximum Moment Restriction.

Benjamin Kompa, David R. Bellamy, Thomas Kolokotrones, James M. Robins, Andrew Beam

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Second opinion needed: communicating uncertainty in medical machine learning.

Benjamin Kompa, Jasper Snoek, Andrew L. Beam

npj Digit. Medicine, 2021

Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures.

Benjamin Kompa, Jasper Snoek, Andrew L. Beam

Entropy, 2021

2020

Learning a Latent Space of Highly Multidimensional Cancer Data.

Benjamin Kompa, Beau Coker

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data.

Andrew L. Beam, Benjamin Kompa, Allen Schmaltz, Inbar Fried, Griffin M. Weber, Nathan P. Palmer, Xu Shi, Tianxi Cai, Isaac S. Kohane

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019

Learning a Generative Model of Cancer Metastasis.

Benjamin Kompa, Beau Coker

CoRR, 2019

2018

Clinical Concept Embeddings Learned from Massive Sources of Medical Data.

Andrew L. Beam, Benjamin Kompa, Inbar Fried, Nathan P. Palmer, Xu Shi, Tianxi Cai, Isaac S. Kohane

CoRR, 2018