Super-Level-Set Regression
PulseAugur coverage of Super-Level-Set Regression — every cluster mentioning Super-Level-Set Regression across labs, papers, and developer communities, ranked by signal.
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New PAC-Bayesian method offers control certification for quadratic systems
Researchers have developed a new method using PAC-Bayesian bounds to certify quadratic closed-loop control systems. This approach addresses challenges with unbounded and non-Lipschitz loss functions by employing System …
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New framework enables safe motion planning with latent world models
Researchers have developed SLS^2, a novel framework for safe motion planning that utilizes robust model predictive control (MPC) within learned latent world models. This approach trains an action-conditioned world model…
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New method explains deepfake speech detector decisions
Researchers have developed a new method to understand how deepfake speech detectors make their decisions. By using Integrated Gradients on self-supervised representations, the technique can pinpoint specific moments in …
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New Super-Level-Set Regression framework optimizes prediction regions directly
Researchers have introduced Super-Level-Set Regression (SLS), a new mathematical framework designed to address the challenge of constructing minimum-volume prediction regions in multivariate regression. Traditional meth…