A linear sequence goes from one term to the next by always adding (or subtracting) the same value. The number added (or subtracted) at each stage of the linear sequence is called the common difference ...

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 ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

E very PC gaming peripheral seems to hinge on marketing with impressive numbers; numbers like 32,000 DPI, 8,000 Hz polling, ...

Abstract: We present closed-form expressions for marginalizing and conditioning Gaussians onto linear manifolds, and demonstrate how to apply these expressions to smooth non-linear manifolds through ...

This tool(calflops) is designed to compute the theoretical amount of FLOPs(floating-point operations)、MACs(multiply-add operations) and Parameters in all various ...

Note: MoBA requires continue training of existing models to achieve its acceleration benefits. It is not a drop-in sparse attention solution that can be directly applied to pretrained models without ...

Thriving in an exponential world requires more than a better strategy. It demands quantum thinking, the shift from linear ...

Foundational research is paving the way for next-generation quantum sensors. Physicists in Australia and the United Kingdom ...

The analysis of neural morphology across Heliconiini butterfly species revealed brain area-specific changes associated with new foraging behaviours. While the volume of the centre for learning and ...