Good Papers

Showing papers from Carl von Ossietzky Universität Oldenburg Show all papers

57%Worth a look
?Worth a lookVote to see the score

Ensuring Deployment-Time Safety of Neural Network Controlled Systems via Localized Certificate Repair

Xiaoyang Lv, Peixin Wang, Jianhao Bai, Bai Xue and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
74%Highly rated
?Highly ratedVote to see the score

Defining Operational Conditions for Safety-Critical AI-Based Systems from Data

A kernel-based method defines operational design domains a posteriori from data, yielding deterministic, bounded, unit-invariant representations that support certifying safety-critical AI systems.

Johann M Christensen, Elena Hoemann, Frank Köster, Sven Hallerbach

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 1/5