Zobrazeno 1 - 10
of 40 625
pro vyhledávání: '"A. Hager"'
Autor:
Dominski, J., Maget, P., Manas, O., Morales, J., Ku, S., Scheinberg, A., Chang, C. S., Hager, R., O'Mullane, M., team, the WEST
Tungsten peaking is predicted in the core of a WEST plasma with total-f gyrokinetic simulations, including both collisional and turbulent transport. This prediction is validated with a synthetic diagnostic of the bolometry. Although nitrogen impuriti
Externí odkaz:
http://arxiv.org/abs/2410.14432
A $d$-subgroup of a lattice-ordered group ($\ell$-group) $G$ is a subgroup that contains the principal polars generated by each of its elements. We call $G$ a Martinez $\ell$-group if every convex $\ell$-subgroup of $G$ is a $d$-subgroup (equivalentl
Externí odkaz:
http://arxiv.org/abs/2410.11930
Autor:
de Haan, Morris, Hager, Philipp
Despite the popularity of the two-tower model for unbiased learning to rank (ULTR) tasks, recent work suggests that it suffers from a major limitation that could lead to its collapse in industry applications: the problem of logging policy confounding
Externí odkaz:
http://arxiv.org/abs/2409.12043
With Nvidia's release of the Grace Superchip, all three big semiconductor companies in HPC (AMD, Intel, Nvidia) are currently competing in the race for the best CPU. In this work we analyze the performance of these state-of-the-art CPUs and create an
Externí odkaz:
http://arxiv.org/abs/2409.08108
Autor:
Becher, Thomas, Hager, Patrick, Jaskiewicz, Sebastian, Neubert, Matthias, Schwienbacher, Dominik
We analyze the low-energy dynamics of gap-between-jets cross sections at hadron colliders, for which phase factors in the hard amplitudes spoil collinear cancellations and lead to double (``super-leading'') logarithmic behavior. Based on a method-of-
Externí odkaz:
http://arxiv.org/abs/2408.10308
The concept of signatures and expected signatures is vital in data science, especially for sequential data analysis. The signature transform, a Cartan type development, translates paths into high-dimensional feature vectors, capturing their intrinsic
Externí odkaz:
http://arxiv.org/abs/2408.05085
Image-based reinforcement learning (RL) faces significant challenges in generalization when the visual environment undergoes substantial changes between training and deployment. Under such circumstances, learned policies may not perform well leading
Externí odkaz:
http://arxiv.org/abs/2407.16842
Autor:
Wang, Weiyao, Hager, Gregory D.
Deploying machine learning algorithms for robot tasks in real-world applications presents a core challenge: overcoming the domain gap between the training and the deployment environment. This is particularly difficult for visuomotor policies that uti
Externí odkaz:
http://arxiv.org/abs/2407.16820
Autor:
Holland, Robbie, Taylor, Thomas R. P., Holmes, Christopher, Riedl, Sophie, Mai, Julia, Patsiamanidi, Maria, Mitsopoulou, Dimitra, Hager, Paul, Müller, Philip, Scholl, Hendrik P. N., Bogunović, Hrvoje, Schmidt-Erfurth, Ursula, Rueckert, Daniel, Sivaprasad, Sobha, Lotery, Andrew J., Menten, Martin J.
Clinicians spend a significant amount of time reviewing medical images and transcribing their findings regarding patient diagnosis, referral and treatment in text form. Vision-language models (VLMs), which automatically interpret images and summarize
Externí odkaz:
http://arxiv.org/abs/2407.08410
Sterile neutrinos are a compelling candidate for generating neutrino masses and for elucidating the nature of dark matter. Astrophysical X-ray constraints on sterile neutrino dark matter decays, however, largely exclude the active-sterile mixing requ
Externí odkaz:
http://arxiv.org/abs/2407.04778