Zobrazeno 1 - 10
of 22 181
pro vyhledávání: '"A P, KRUEGER"'
Modern robotic perception is highly dependent on neural networks. It is well known that neural network-based perception can be unreliable in real-world deployment, especially in difficult imaging conditions. Out-of-distribution detection is commonly
Externí odkaz:
http://arxiv.org/abs/2412.07565
In 1966, Erd\H{o}s, Goodman, and P\'{o}sa showed that if $G$ is an $n$-vertex graph, then at most $\lfloor n^2/4 \rfloor$ cliques of $G$ are needed to cover the edges of $G$, and the bound is best possible as witnessed by the balanced complete bipart
Externí odkaz:
http://arxiv.org/abs/2412.05522
Autor:
Kurtz, Donald W., Handler, Gerald, Holdsworth, Daniel L., Cunha, Margarida S., Saio, Hideyuki, Medupe, Thebe, Murphy, Simon J., Krüger, Joachim, Brunsden, E., Antoci, Victoria, Hey, Daniel R., Shitrit, Noi, Matthews, Jaymie M.
HD 60435 is a well-known rapidly oscillating (roAp) Ap star with a series of alternating even and odd degree modes, making it a prime asteroseismic target. It is also an oblique pulsator with rotational inclination, $i$, and magnetic/pulsation obliqu
Externí odkaz:
http://arxiv.org/abs/2412.04840
We analyze heat transfer and Casimir forces involving a nonreciprocal nanoparticle. By dissecting the resulting expressions into reciprocal and nonreciprocal contributions, we find that the particle's self emission contains $++$ and $--$ terms, i.e.,
Externí odkaz:
http://arxiv.org/abs/2412.03327
Machine unlearning is gaining increasing attention as a way to remove adversarial data poisoning attacks from already trained models and to comply with privacy and AI regulations. The objective is to unlearn the effect of undesired data from a traine
Externí odkaz:
http://arxiv.org/abs/2412.00761
Autor:
Frühbis-Krüger, Anne, da Silva, Thiago
In this article, we provide an explicit description of the Lipschitz saturation $A^*_{B,R}$ of a subalgebra $A\subseteq R[[t^{\gamma_1},\ldots, t^{\gamma_n}]]$ over a ring $R$ in terms of the numerical semigroup $\Gamma = \langle\gamma_{1},\ldots,\ga
Externí odkaz:
http://arxiv.org/abs/2411.17579
The probability current is a vital quantity in the Fokker-Planck description of stochastic processes. It characterizes nonequilibrium stationary states, appears in linear response calculation, and has been related to the entropy production and the he
Externí odkaz:
http://arxiv.org/abs/2411.14004
A key objective of interpretability research on large language models (LLMs) is to develop methods for robustly steering models toward desired behaviors. To this end, two distinct approaches to interpretability -- ``bottom-up" and ``top-down" -- have
Externí odkaz:
http://arxiv.org/abs/2411.07213
Autor:
Tricot, S., Ikeda, H., Tchouekem, H. -C., Breton, J. -C. Le, Yasuda, S., Krüger, P., Fèvre, P. Le, Sébilleau, D., Jaouen, T., Schieffer, P.
Photoelectron diffraction (PED) is a powerful spectroscopic technique that combines elemental resolution with a high sensitivity to the local atomic arrangement at crystal surfaces, thus providing unique fingerprints of selected atomic sites in matte
Externí odkaz:
http://arxiv.org/abs/2411.05581
Transformers have demonstrated remarkable in-context learning capabilities across various domains, including statistical learning tasks. While previous work has shown that transformers can implement common learning algorithms, the adversarial robustn
Externí odkaz:
http://arxiv.org/abs/2411.05189