Call for Contributions

We invite participants to submit abstracts of maximum one page. Topics include all dimensions of RobustML such as uncertainty quantification, (out-of-domain) generalisation, Bayesian modelling, model misspecification, adversarial robustness, and causality (to name a few).

The accepted submission are expected to present a poster of their work during the event. 

Submissions will be reviewed by experts of their respective field.  Participants are encouraged to submit their recent work on the topics of interest mentioned above. Contributions are encouraged, but are not required, to be original.

The review process will be single-blind, meaning the submitted paper does not need to be anonymized.

Abstracts can be submitted through this form.


If you have any querise or concerns please contact  ellis DOT robustmlworkshop AT gmail DOT com