Zobrazeno 1 - 10
of 1 422
pro vyhledávání: '"P Behn"'
Autor:
Knutson, Brandon, Rabeendran, Amandin Chyba, Ivanitskiy, Michael, Pettyjohn, Jordan, Diniz-Behn, Cecilia, Fung, Samy Wu, McKenzie, Daniel
Recent work has suggested that certain neural network architectures-particularly recurrent neural networks (RNNs) and implicit neural networks (INNs) are capable of logical extrapolation. That is, one may train such a network on easy instances of a s
Externí odkaz:
http://arxiv.org/abs/2410.03020
Autor:
Krebs, Zachary J., Behn, Wyatt A., Smith, Keenan J., Fortman, Margaret A., Watanabe, Kenji, Taniguchi, Takashi, Parashar, Pathak S., Fogler, Michael M., Brar, Victor W.
Scanning tunneling potentiometry (STP) is used to probe the local, current-induced electrochemical potential of carriers in graphene near circular electrostatic barriers in an out-of-plane magnetic field ranging from 0 to 1.4 T. These measurements pr
Externí odkaz:
http://arxiv.org/abs/2409.19468
We introduce fractional weighted Sobolev spaces with degenerate weights. For these spaces we provide embeddings and Poincar\'e inequalities. When the order of fractional differentiability goes to $0$ or $1$, we recover the weighted Lebesgue and Sobol
Externí odkaz:
http://arxiv.org/abs/2409.11829
We extend the De Giorgi iteration technique to the vectorial setting. For this we replace the usual scalar truncation operator by a vectorial shortening operator. As an application, we prove local boundedness for local and nonlocal nonlinear systems.
Externí odkaz:
http://arxiv.org/abs/2404.04063
Autor:
Ivanitskiy, Michael Igorevich, Spies, Alex F., Räuker, Tilman, Corlouer, Guillaume, Mathwin, Chris, Quirke, Lucia, Rager, Can, Shah, Rusheb, Valentine, Dan, Behn, Cecilia Diniz, Inoue, Katsumi, Fung, Samy Wu
Transformer models underpin many recent advances in practical machine learning applications, yet understanding their internal behavior continues to elude researchers. Given the size and complexity of these models, forming a comprehensive picture of t
Externí odkaz:
http://arxiv.org/abs/2312.02566
Autor:
Behn, Linus, Diening, Lars
We study global regularity of nonlinear systems of partial differential equations depending on the symmetric part of the gradient with Dirichlet boundary conditions. These systems arise from variational problems in plasticity with power growth. We co
Externí odkaz:
http://arxiv.org/abs/2310.17310
Complex network theory has focused on properties of networks with real-valued edge weights. However, in signal transfer networks, such as those representing the transfer of light across an interferometer, complex-valued edge weights are needed to rep
Externí odkaz:
http://arxiv.org/abs/2310.16451
Autor:
Ivanitskiy, Michael Igorevich, Shah, Rusheb, Spies, Alex F., Räuker, Tilman, Valentine, Dan, Rager, Can, Quirke, Lucia, Mathwin, Chris, Corlouer, Guillaume, Behn, Cecilia Diniz, Fung, Samy Wu
Understanding how machine learning models respond to distributional shifts is a key research challenge. Mazes serve as an excellent testbed due to varied generation algorithms offering a nuanced platform to simulate both subtle and pronounced distrib
Externí odkaz:
http://arxiv.org/abs/2309.10498
Autor:
Lazarova, Mariana S., Canalizo, Gabriela, Lacy, Mark, Behn, Wyatt, Raub, Kaitlyn, Bennert, Vardha N., Farrah, Duncan
Low-ionization Broad Absorption Line QSOs (LoBALs) are suspected to be merging systems in which extreme, AGN-driven outflows have been triggered. Whether or not LoBALs are uniquely associated with mergers, however, has yet to be established. To chara
Externí odkaz:
http://arxiv.org/abs/2303.08860
Autor:
Alexander G. Ginsberg, Madelyn Esther C. Cruz, Franz Weber, Victoria Booth, Cecilia G. Diniz Behn
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
IntroductionDuring sleep periods, most mammals alternate multiple times between rapid-eye-movement (REM) sleep and non-REM (NREM) sleep. A common theory proposes that these transitions are governed by an “hourglass-like” homeostatic need to enter
Externí odkaz:
https://doaj.org/article/a878ead044934409afd6a12b1a41ae25