Kavli Affiliate: John Serences | Authors: Margaret M Henderson, John T Serences and Nuttida Rungratsameetaweemana | Summary: Everyday visual search tasks require objects to be categorized according to behavioral goals. For example, when searching for an apple at the supermarket, one might first find the Granny Smith apples by separating all visible apples into the […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Douglas Faries, Chenyin Gao, Xiang Zhang, Chad Hazlett, James Stamey | Summary: The assumption of no unmeasured confounders is a critical but unverifiable assumption required for causal inference yet quantitative sensitivity analyses to assess robustness of real-world evidence remains underutilized. The lack of use is likely in […]
Kavli Affiliate: Jing Wang | First 5 Authors: Niklas Stoehr, Pengxiang Cheng, Jing Wang, Daniel Preotiuc-Pietro, Rajarshi Bhowmik | Summary: Language models contain ranking-based knowledge and are powerful solvers of in-context ranking tasks. For instance, they may have parametric knowledge about the ordering of countries by size or may be able to rank reviews by […]
Kavli Affiliate: David Muller | First 5 Authors: Christian Herglotz, David Müller, Andreas Weinlich, Frank Bauer, Michael Ortner | Summary: This paper shows that motion vectors representing the true motion of an object in a scene can be exploited to improve the encoding process of computer generated video sequences. Therefore, a set of sequences is […]