The Democratic Party has a deeply motivated base and a clear advantage on the generic congressional ballot ahead of this fall ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

Testing random outcomes teaches principles that apply wherever fairness matters. Random outcomes shape more of our world than ...

A major bottleneck in implementing sampling as a primitive relational operation is the inefficiency of sampling the output of a query. It is not even known whether it is possible to generate a sample ...

1 Department of Computer Science, College of Informatics, National Chengchi University, Taipei, Taiwan 2 College of Education, National Chengchi University, Taipei, Taiwan Randomization is a standard ...

Random assignment is an attempt to handle larger classes of students. For this purpose, we generate a series of html (txt, pdf) files with the same structure but different numbers. In addition, we ...

Supported in part by the National Institutes of Health/National Cancer Institute through Cancer Center Support Grant P30CA016672 to The University of Texas MD Anderson Cancer Center. P.M. and E.B.L.

Reply to: Optimizing Allogeneic Chimeric Antigen Receptor T-Cell Persistence in Relapsed/Refractory Large B-Cell Lymphoma: The Role of KIR Matching Supported in part by the National Institutes of ...

Back in the1980s came a bumpersticker that advised us to “Practice Random Acts of Kindness.” It was early virtue signaling, meant less to instruct others in proper behavior, more to cast the car’s ...

Denoising Diffusion Probabilistic Models (DDPMs) have gained great attention in adversarial purification. Current diffusion-based works focus on designing effective condition-guided mechanisms while ...

Abstract: Compressed Sampling (CS) overcomes the oversam-pling trap caused by using Shannon's sampling theorem in sparse ultra-wideband signals. The Random Demodulator (RD) is the infrastructure for ...