and $\exp\left(O(n/\tau^4)\right) / \varepsilon^2$ time. In the regime of $\tau

2307.03718] Frontier AI Regulation: Managing Emerging Risks to Public Safety Happy Open Access Week from arXiv!

and $\exp\left(O(n/\tau^4)\right) / \varepsilon^2$ time. In the regime of $\tau

cloaking, a three-dimensional (3D), transmitting, continuously multidirectional cloak in the visible regime has not yet been

with an empirical study of the under-explored "ultra-rich" $\gamma \gg 1$ regime. We find that networks

feature models with structured covariates. This allows us to discover a scaling regime for random

to investigate ICL with hundreds or thousands of examples -- the many-shot regime. Going from few-shot

with an empirical study of the under-explored "ultra-rich" $\gamma \gg 1$ regime. We find that networks

the low spin 4$d^5$ state using polarized neutron diffraction within the paramagnetic regime on high quality single

achieves higher accuracy than Adapter and LoRA in a low-memory regime. To further

that regularization is important for worst-group generalization in the overparameterized regime, even if it is

Recently, new Graph Neural Networks (GNNs) have been developed that move beyond the homophily regime; however, their evaluation has

of the 3D size and translation. Leveraging the small pose regime in the

find that gravitational wave perturbations have an amplitude that remains in the linear regime at all times and

that regularization is important for worst-group generalization in the overparameterized regime, even if it is

fields and dipolar coupling, and rapid dynamics in the terahertz regime. For the

of the convergence of VQEs in the over-parameterization regime. By connecting the

outlining new directions for Moiré-Floquet engineering in the low-frequency regime and their

perspective of the journey of graphene from its single-particle physics-dominated regime to the

presence of a longitudinal Zeeman field. In the low magnetization regime in the

quantum field theory of superconducting electrical circuits operating in the microwave regime near absolute zero temperature

a favorable setting, does not harm prediction accuracy. We focus specifically on the linear regime for neural

insight into dynamical predictions of general relativity in the fully nonlinear regime. The article

GaAs/AlGaAs quantum dots. Initialization is based on leads in the quantum Hall regime with tunable spin-polarization

resolution by generating 512 times more tracer particles, extending into the deeply non-linear regime where complex structure formation

the small sample of known objects in this especially valuable low-temperature regime. Our Y dwarf candidates

the small sample of known objects in this especially valuable low-temperature regime. Our Y dwarf candidates