Researchers at the University of Illinois Urbana-Champaign have developed a new theoretical framework that could dramatically reduce the cost and complexity of predicting chemical reaction energetics ...

Abstract: We consider the problem of online sparse linear approximation, where a learner sequentially predicts the best sparse linear approximations of an as yet unobserved sequence of measurements in ...

Abstract: Generally, estimates are subject to errors. For a general linear data model, we study conditions for guaranteed error-free best linear unbiased estimation (BLUE) without prior information in ...

No measurement is completely accurate as there will always be some degree of error when measuring. You may say you are 163 cm tall but you could really be 163.42 cm ...

Try SVI-2.0 for both Wan 2.1 (main branch) and Wan 2.2 (svi_wan22 branch), which share the same inference setup with SVI-Shot. Note that workflow should use the same format as SVI-Shot (including the ...