Ornstein--Uhlenbeck process
PulseAugur coverage of Ornstein--Uhlenbeck process — every cluster mentioning Ornstein--Uhlenbeck process across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Learned attacks target quantum key distribution systems
Researchers have developed novel learned attack strategies against Quantum Key Distribution (QKD) systems, specifically addressing the challenges posed by channel noise and device drift. By framing eavesdropping as a co…
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SCROLL method improves forecasting of stochastic dynamics with learned uncertainty
Researchers have developed SCROLL, a novel method for forecasting multiple observables in stochastic dynamical systems. Unlike traditional approaches that balance per-task losses, SCROLL composes likelihoods of differen…
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Stochastic Weight Averaging boosts data augmentation in deep learning
Researchers have explored Stochastic Weight Averaging (SWA) as a method to enhance data augmentation in deep learning, offering a more cost-effective alternative to training large ensembles. Their analysis, which approx…