Zobrazeno 71 - 80
of 32 956
pro vyhledávání: '"Gori, A."'
Autor:
Boveia, Antonio, Berkat, Mohamed, Chen, Thomas Y., Desai, Aman, Doglioni, Caterina, Drlica-Wagner, Alex, Gardner, Susan, Gori, Stefania, Greaves, Joshua, Harding, Patrick, Harris, Philip C., Lippincott, W. Hugh, Monzani, Maria Elena, Pachal, Katherine, Prescod-Weinstein, Chanda, Rybka, Gray, Shakya, Bibhushan, Shelton, Jessie, Slatyer, Tracy R., Steinhebel, Amanda, Tanedo, Philip, Toro, Natalia, Tsai, Yun-Tse, Williams, Mike, Winslow, Lindley, Yu, Jaehoon, Yu, Tien-Tien
The fundamental nature of Dark Matter is a central theme of the Snowmass 2021 process, extending across all Frontiers. In the last decade, advances in detector technology, analysis techniques and theoretical modeling have enabled a new generation of
Externí odkaz:
http://arxiv.org/abs/2211.07027
Autor:
Bubboloni, Daniela, Gori, Michele
We prove that, for any given set of networks satisfying suitable conditions, the net-oudegree network solution, the net-indegree network solution, and the total network solution are the unique network solutions on that set satisfying neutrality, cons
Externí odkaz:
http://arxiv.org/abs/2211.06626
Many datasets are biased, namely they contain easy-to-learn features that are highly correlated with the target class only in the dataset but not in the true underlying distribution of the data. For this reason, learning unbiased models from biased d
Externí odkaz:
http://arxiv.org/abs/2211.05568
The microscopic origins of terahertz (THz) vibrational modes in biological systems are an active and open area of current research. Recent experiments [Physical Review X 8, 031061 (2018)] have revealed the presence of a pronounced mode at $\sim$0.3 T
Externí odkaz:
http://arxiv.org/abs/2210.14912
Autor:
Vétil, Rebeca, Nader, Clément Abi, Bône, Alexandre, Vullierme, Marie-Pierre, Roheé, Marc-Michel, Gori, Pietro, Bloch, Isabelle
Publikováno v:
Medical Image Computing and Computer Assisted Intervention 2022, Lecture Notes in Computer Science volume 13432, pp 464-473
We propose a scalable and data-driven approach to learn shape distributions from large databases of healthy organs. To do so, volumetric segmentation masks are embedded into a common probabilistic shape space that is learned with a variational auto-e
Externí odkaz:
http://arxiv.org/abs/2210.12095
Autor:
Meloni, Enrico, Faggi, Lapo, Marullo, Simone, Betti, Alessandro, Tiezzi, Matteo, Gori, Marco, Melacci, Stefano
In this paper, we present PARTIME, a software library written in Python and based on PyTorch, designed specifically to speed up neural networks whenever data is continuously streamed over time, for both learning and inference. Existing libraries are
Externí odkaz:
http://arxiv.org/abs/2210.09147
A leading direction in the hunt for axion dark matter is to search for its influence on nuclear spins. The detection scheme involves polarizing a sample of nuclei within a strong static magnetic field and then looking for a spin precession induced by
Externí odkaz:
http://arxiv.org/abs/2210.06481
Autor:
Boveia, Antonio, Berkat, Mohamed, Chen, Thomas Y., Desai, Aman, Doglioni, Caterina, Drlica-Wagner, Alex, Gardner, Susan, Gori, Stefania, Greaves, Joshua, Harding, Patrick, Harris, Philip C., Lippincott, W. Hugh, Monzani, Maria Elena, Pachal, Katherine, Prescod-Weinstein, Chanda, Rybka, Gray, Shakya, Bibhushan, Shelton, Jessie, Slatyer, Tracy R., Steinhebel, Amanda, Tanedo, Philip, Toro, Natalia, Tsai, Yun-Tse, Williams, Mike, Winslow, Lindley, Yu, Jaehoon, Yu, Tien-Tien
The fundamental nature of Dark Matter is a central theme of the Snowmass 2021 process, extending across all frontiers. In the last decade, advances in detector technology, analysis techniques and theoretical modeling have enabled a new generation of
Externí odkaz:
http://arxiv.org/abs/2210.01770
Autor:
La Barbera, Giammarco, Boussaid, Haithem, Maso, Francesco, Sarnacki, Sabine, Rouet, Laurence, Gori, Pietro, Bloch, Isabelle
Anatomical structures such as blood vessels in contrast-enhanced CT (ceCT) images can be challenging to segment due to the variability in contrast medium diffusion. The combined use of ceCT and contrast-free (CT) CT images can improve the segmentatio
Externí odkaz:
http://arxiv.org/abs/2210.01713
Fitts' law is often employed as a predictive model for human movement, especially in the field of human-computer interaction. Models with an assumed Gaussian error structure are usually adequate when applied to data collected from controlled studies.
Externí odkaz:
http://arxiv.org/abs/2209.15615