Name: Leveraging (Bayesian) Uncertainty Information: Opportunities and Failure Modes
Start: 2019-03-21T19:00:00+01:00
End: 2019-03-21T21:00:00+01:00
Location: Deutsches Krebsforschungszentrum

We are happy to have Christian Leibig, Machine Intelligence Engineer at MX Healthcare, give a talk on his recent work on how to leverage uncertainty information in deep learning applications for healthcare. For a full abstract head over to https://heidelberg.ai/2019/03/21/bayesian_uncertainty.html . Drinks and snacks will be provided, courtesy of the Division of Medical Image Computing at DKFZ.

Paul Jaeger

Simon Kohl

Jens Petersen

heidelberg.ai

Technology

Robotics

Artificial Intelligence

Artificial Intelligence Machine Learning Robotics

Artificial Intelligence Programming

Machine Learning

Artificial Intelligence Applications

Machine Intelligence

Deep Learning

 Leveraging (Bayesian) Uncertainty Information: Opportunities and Failure Modes

Deutsches Krebsforschungszentrum

Share

heidelberg.ai

Leveraging (Bayesian) Uncertainty Information: Opportunities and Failure Modes

heidelberg.ai

Details

Members are also interested in