The second edition of the ELLIS Robust ML Workshop, co-organised by ELISE, focuses 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.
Registration is now closed. If you have an accepted poster and want to attend but have not registered, please contact us at ellis DOT robustmlworkshop AT gmail DOT com
Funding to cover travel and attendance costs is available for Europe-based students and early career researchers.
Funding application is now closed and travel awards have been announced.
Confirmed Speakers
Amir Globerson (Tel Aviv University)
Antti Oulasvirta (Aalto University)
Cédric Archambeau (Helsing)
Jeremias Knoblauch (UCL)
Peter Grünwald (CWI, Amsterdam)
Silvia Chiappa (Google DeepMind)
Sinead Williamson (UT Austin, Apple)
Tamara Broderick (MIT)
Vincent Fortuin (Helmholtz AI, TU Munich)
Yingzhen Li (Imperial College London)
Call for Posters
We encourage you to share your research and contribute to a vibrant exchange of ideas by presenting a poster.
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.
Update: Accepted posters have now been announced.
All time in UTC/GMT +3
Day 1 (27 June)
08:30-09:00 Registration and Coffee
09:00-10:10 ELISE Conference: Welcome and Keynote
10:10-12:00 RobustML Session 1
12:00-13:00 Lunch
13:05-14:35 RobustML Session 2
14:35-15:00 Coffee break
15:05-16:05 RobustML Poster Session
16:10-17:15 ELISE Conference: Plenary Session
Day 2 (28 June)
08:30-09:00 Walk in and Coffee
09:00-10:30 RobustML Session 3
10:30-10:50 Break
10:55-11:55 RobustML Session 4
11:55-12:55 Lunch
13:00-14:15 RobustML Session 5
14:35-15:30 ELISE Conference: Closing Keynote
All times in UTC/GMT +3
Day 1 (27 June)
10:10-10:20 Registration for students with travel awards
10:20-10:30 Welcome remarks
10:30-11:15 Talk: Peter Grünwald
11:15-12:00 Talk: Tamara Broderick (MIT)
12:00-13:00 Lunch
13:00-13:30 Talk: Cédric Archambeau (Helsing)
13:30-14:00 Talk: Silvia Chiappa (Google DeepMind)
14:00-14:30 Talk: Antti Oulasvirta (Aalto University)
14:30-15:00 Coffee Break
15:00-16:15 Poster Session
Day 2 (28 June)
09:00-09:45 Talk: Amir Globerson (Tel Aviv University)
09:45-10:30 Talk: Yingzhen Li (Imperial College London)
10:30-10:55 Coffee Break
10:55-11:25 Talk: Sinead Williamson (UT Austin, Apple)
11:25-11:55 Talk: Jeremias Knoblauch (UCL)
11:55-13:00 Lunch
13:00-13:30 Talk: Vincent Fortuin (Helmholtz AI, TU Munich)
13:30 - 14:15 Closing
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
Katajanokanlaituri 6, 00160 Helsinki
Finland
If you have any questions please contact ellis DOT robustmlworkshop AT gmail DOT com