It is shown that selective control under partial auditing reduces accepted errors while increasing correctness, and experiments with log linear and neural contextual bandits and with a language model support the analysis and show that selective control under partial auditing reduces accepted errors while increasing cor...
Christian Moya, E. Thornley, Guang Lin· 0 citations
These results connect resource-aware scalability analysis with finite-sample uncertainty guarantees for quantum operator learning, and explore hybrid classical-quantum architectures and superposed execution to manage ensemble runtime and hardware requirements.
Purav Matlia, Christian Moya, Guang Lin· 0 citations
This work proposes GraspMeanFlow, an SE(3)-equivariant MeanFlow framework for few-step 6-DoF grasp generation, and proves that a point-cloud-conditioned distribution transported by an equivariant average-velocity flow map remains invariant, so equivariance is retained under few-step sampling.
J. Kwon, Yikun Bai, Amirhossein Mollaali et al.· 0 citations
Autonomous computer-use agents are increasingly applied to long-horizon tasks requiring coordinated application calls, persistent state tracking, and verifier-sensitive writes, yet they remain prone to procedural failures: misreading application state, tool semantics, or task progress. Procedural memory promises more c...
Zheyuan Deng, Bing-Hang Lu, Han-Qi Feng et al.· 0 citations
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