27-28 June 2024
ELLIS Robust ML Workshop
Helsinki, Finland
The second edition of the ELLIS Robust ML Workshop, focusing on all topics related to robustness in machine learning. This 1.5 day event will feature keynote presentations and invited talks, poster sessions, and discussions, providing opportunities for learning and networking among the RobustML community.
Funding to cover travel and attendance costs is available for Europe-based students and early career researchers. Application deadline: 26th May
Confirmed Speakers
Antti Oulasvirta (Aalto University)
Cédric Archambeau (Helsing)
Peter Grünwald (CWI, Amsterdam)
Silvia Chiappa (Google DeepMind)
Tamara Broderick (MIT)
Vincent Fortuin (Helmholtz AI, TU Munich)
Yingzhen Li (Imperial College London)
[more to come!]
Call for Posters
We encourage you to share your research and contribute to a vibrant exchange of ideas by presenting a poster at the workshop.
Submit your contribution via OpenReview by 26th May
Please submit a title, abstract, and a PDF of your contribution (could be a poster or paper). Accepted submissions will have their titles and abstracts published on the workshop website. We encourage submissions of already published work, work in progress, work under submission, or late-breaking results.
Topics
Different perspectives on robustness:
Robustness to adversarial manipulation of models and data.
Robustness to distribution shifts.
The notions of robustness in the unsupervised learning landscape.
Reliability of Real-world Systems:
Exploring uncertainty quantification for enhancing system reliability.
Reviewing the role of challenging datasets and simulations in gauging system reliability.
Evaluating the potential and limitations of system properties verification for reliability assurance.
Societal and Legal Considerations:
Discussing legal implications of ML robustness, including hacking liabilities and performance guarantees.
Investigating strategies for building robust systems that promote fairness and avoid bias.
Exploring robustness requirements in high-stake domains like manufacturing, autonomous driving, and healthcare
Contact
If you have any questions please contact ellis DOT robustmlworkshop AT gmail DOT com