Zobrazeno 1 - 10
of 36 832
pro vyhledávání: '"P. Yasuda"'
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
Although conceptual assessment tests are frequently administered in a pre/post-semester fashion, there are inherent issues with this paradigm. Specifically, education researchers and instructors have limited ability to observe the progression of stud
Externí odkaz:
http://arxiv.org/abs/2410.18531
Autor:
Toshikage, Seiji, Tanaka, Masaomi, Yasuda, Naoki, Moriya, Takashi J., Takahashi, Ichiro, Jiang, Ji-an, Kokubo, Mitsuru, Matsumoto, Naoki, Maeda, Keiichi, Morokuma, Tomoki, Suzuki, Nao, Tominaga, Nozomu
Recent high-cadence transient surveys have discovered rapid transients whose light curve timescales are shorter than those of typical supernovae. In this paper, we present a systematic search for rapid transients at medium-high redshifts among 3381 s
Externí odkaz:
http://arxiv.org/abs/2410.10955
Autor:
Bu, Fanjun, Yasuda, Hiroshi
Diffusion models have made substantial progress in facilitating image generation and editing. As the technology matures, we see its potential in the context of driving simulations to enhance the simulated experience. In this paper, we explore this po
Externí odkaz:
http://arxiv.org/abs/2410.04214
Autor:
Gopinath, Deepak, Cui, Xiongyi, DeCastro, Jonathan, Sumner, Emily, Costa, Jean, Yasuda, Hiroshi, Morgan, Allison, Dees, Laporsha, Chau, Sheryl, Leonard, John, Chen, Tiffany, Rosman, Guy, Balachandran, Avinash
Learning motor skills for sports or performance driving is often done with professional instruction from expert human teachers, whose availability is limited. Our goal is to enable automated teaching via a learned model that interacts with the studen
Externí odkaz:
http://arxiv.org/abs/2410.01608
In feed-forward neural networks, dataset-free weight-initialization method such as LeCun, Xavier (or Glorot), and He initializations have been developed. These methods randomly determine the initial values of weight parameters based on specific distr
Externí odkaz:
http://arxiv.org/abs/2409.07708
Autor:
Yasuda, Takehiko
The quotient variety associated to a permutation representation of a finite group has only canonical singularities in arbitrary characteristic. Moreover, the log pair associated to such a representation is Kawamata log terminal except in characterist
Externí odkaz:
http://arxiv.org/abs/2408.13504
Autor:
Yasuda, Takehiko
We prove motivic versions of mass formulas by Krasner, Serre and Bhargava concerning (weighted) counts of extensions of local fields.
Comment: 31 pages
Comment: 31 pages
Externí odkaz:
http://arxiv.org/abs/2408.13481
This paper introduces a novel method for finding integer sets that satisfy the Pythagorean theorem by leveraging the Higher-Order Binary Optimization (HOBO) formulation. Unlike the Quadratic Unconstrained Binary Optimization (QUBO) formulation, which
Externí odkaz:
http://arxiv.org/abs/2408.11076
It is the theoretical structure of electromagnetism that led Einstein to special relativity. To foster an intuitive understanding of relativity's core idea, it is valuable to create a fully special relativistic computer simulation incorporating elect
Externí odkaz:
http://arxiv.org/abs/2408.05481