Collision avoidance constraints for autonomous systems are typically formulated in position or velocity space, implicitly reacting to geometric proximity. We propose an alternative paradigm based on the adversarial time-to-collision (aTTC): the minimum time in which an adversary could achieve a collision given its dyna...
B. B. Sorensen, Mitchell Black, Erfaun Noorani et al.· 1 citation
A mechanism-aware conditioning plug-in framework that turns a nudged coarse ensemble into a non-intrusive sensor of local instability geometry, showing that local instability geometry is not merely interpretable post hoc, but an actionable conditioning signal for data-efficient rare-event emulation.
Isabella Thiel, J. Bello-Rivas, Y. Kevrekidis et al.· 0 citations
Adversarial time-to-collision (aTTC), a risk metric that quantifies, for a given agent, how quickly any surrounding agent could reach it assuming adversarial intent, is introduced.
B. B. Sorensen, Mitchell Black, Erfaun Noorani et al.· 0 citations
Results show DySCo achieves superior dynamical consistency with the coarse GCM trajectories, essentially applying a minimal, causal correction to the GCM, preserving top statistical performance comparable to state-of-the-art unsupervised models.
S. Stamatelopoulos, M. Wang, I. Lopez-Gomez et al.· 0 citations
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