Unsupervised time-series domain adaptation (DA) addresses the challenge of transferring a classifier from a labeled source domain to an unlabeled target domain under distribution shifts induced by different users, sensors, devices, acquisition conditions, or temporal dynamics. Existing methods typically mitigate this s...
Results establish output-matched inheritance under the evaluated protocols, not resistance to all utility-preserving transformations, not resistance to all utility-preserving transformations.
Redwanul Karim, Tobias Feigl, Christopher Mutschler et al.· 0 citations
This work establishes conditional false-accusation bounds for arbitrary recovered bit patterns, a finite completeness bound under a hidden-bias residual channel, and a deterministic tracing-score bound for correlated feature-distillation errors to support verifiable tracing under explicit statistical and cryptographic...
Redwanul Karim, N. Raichur, Lucas Heublein et al.· IEEE Transactions on Aerospa...· 0 citations
The Safe Deep Successor Representation is proposed, a novel method that allows quick retraining of policies towards new cost structures and is competitive on a simple navigation task while being considerably more flexible.
Michaela Girstl, Alexander Mattick, Christopher Mutschler· Trans. Mach. Learn. Res.· 0 citations
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