Zobrazeno 1 - 10
of 253 152
pro vyhledávání: '"A Heinrich"'
Autor:
Li, Hao, Liu, Han, von Busch, Heinrich, Grimm, Robert, Huisman, Henkjan, Tong, Angela, Winkel, David, Penzkofer, Tobias, Shabunin, Ivan, Choi, Moon Hyung, Yang, Qingsong, Szolar, Dieter, Shea, Steven, Coakley, Fergus, Harisinghani, Mukesh, Oguz, Ipek, Comaniciu, Dorin, Kamen, Ali, Lou, Bin
Our hypothesis is that UDA using diffusion-weighted images, generated with a unified model, offers a promising and reliable strategy for enhancing the performance of supervised learning models in multi-site prostate lesion detection, especially when
Externí odkaz:
http://arxiv.org/abs/2408.04777
Autor:
Patton, William, Rhoades, Jeff L., Zouinkhi, Marwan, Ackerman, David G., Malin-Mayor, Caroline, Adjavon, Diane, Heinrich, Larissa, Bennett, Davis, Zubov, Yurii, Team, CellMap Project, Weigel, Aubrey V., Funke, Jan
DaCapo is a specialized deep learning library tailored to expedite the training and application of existing machine learning approaches on large, near-isotropic image data. In this correspondence, we introduce DaCapo's unique features optimized for t
Externí odkaz:
http://arxiv.org/abs/2408.02834
Autor:
Allier, Cédric, Schneider, Magdalena C., Innerberger, Michael, Heinrich, Larissa, Bogovic, John A., Saalfeld, Stephan
Natural physical, chemical, and biological dynamical systems are often complex, with heterogeneous components interacting in diverse ways. We show that graph neural networks can be designed to jointly learn the interaction rules and the structure of
Externí odkaz:
http://arxiv.org/abs/2407.19160
Autor:
Siddiqui, Shoaib Ahmed, Dong, Xin, Heinrich, Greg, Breuel, Thomas, Kautz, Jan, Krueger, David, Molchanov, Pavlo
Large Language Models (LLMs) are not only resource-intensive to train but even more costly to deploy in production. Therefore, recent work has attempted to prune blocks of LLMs based on cheap proxies for estimating block importance, effectively remov
Externí odkaz:
http://arxiv.org/abs/2407.16286
Models of conformity and anti-conformity have typically focused on cultural traits with nominal (unordered) variants, such as baby names, strategies (cooperate/defect), or the presence/absence of an innovation. There have been fewer studies of confor
Externí odkaz:
http://arxiv.org/abs/2407.13907
Exceptional points facilitate peculiar dynamics in non-Hermitian systems. Yet, in photonics, they have mainly been studied in the classical realm. In this work, we reveal the behavior of two-photon quantum states in non-Hermitian systems across the e
Externí odkaz:
http://arxiv.org/abs/2407.12578
Deformable image registration is fundamental to many medical imaging applications. Registration is an inherently ambiguous task often admitting many viable solutions. While neural network-based registration techniques enable fast and accurate registr
Externí odkaz:
http://arxiv.org/abs/2407.10567
Designing incentives for an adapting population is a ubiquitous problem in a wide array of economic applications and beyond. In this work, we study how to design additional rewards to steer multi-agent systems towards desired policies \emph{without}
Externí odkaz:
http://arxiv.org/abs/2407.10207
We present results for the Yukawa-enhanced and Higgs self-coupling type electroweak corrections to di-Higgs production in gluon fusion. The calculation of the corresponding four-scale, two-loop amplitude is carried out retaining the exact symbolic de
Externí odkaz:
http://arxiv.org/abs/2407.04653
Autor:
Di Noi, Stefano, Gröber, Ramona, Heinrich, Gudrun, Lang, Jannis, Scyboz, Ludovic, Vitti, Marco
The calculation of contributions from the chromomagnetic and four-top-quark-operators within Standard Model Effective Field Theory (SMEFT) to Higgs boson pair production in gluon fusion is presented, in combination with NLO QCD corrections. Here we f
Externí odkaz:
http://arxiv.org/abs/2407.04747