Zobrazeno 1 - 10
of 8 169
pro vyhledávání: '"P. Blumberg"'
We prove a theorem that reduces bounding the mixing time of a card shuffle to verifying a condition that involves only triplets of cards. Then we use it to analyze a classic model of card shuffling. In 1988, Diaconis introduced the following Markov c
Externí odkaz:
http://arxiv.org/abs/2411.06006
Autor:
Wu, Shangfei, Huang, Fei-Ting, Xu, Xianghan, Ritz, Ethan T., Birol, Turan, Cheong, Sang-Wook, Blumberg, Girsh
Publikováno v:
Nature Communications 15, 9276 (2024)
Symmetry plays an important role in determining the physical properties in condensed matter physics, as the symmetry operations of any physical property must include the symmetry operations of the point group of the crystal. As a consequence, crystal
Externí odkaz:
http://arxiv.org/abs/2410.20921
Autor:
Zieliński, Krzysztof, Penning, Ryan, Blumberg, Bruce, Schlette, Christian, Kjærgaard, Mikkel Baun
Improving robot deployment is a central step towards speeding up robot-based automation in manufacturing. A main challenge in robot deployment is how to best place the robot within the workcell. To tackle this challenge, we combine two knowledge sour
Externí odkaz:
http://arxiv.org/abs/2410.00484
Capturing real-world 3D spaces as point clouds is efficient and descriptive, but it comes with sensor errors and lacks object parametrization. These limitations render point clouds unsuitable for various real-world applications, such as robot program
Externí odkaz:
http://arxiv.org/abs/2410.00479
We introduce ORC-ManL, a new algorithm to prune spurious edges from nearest neighbor graphs using a criterion based on Ollivier-Ricci curvature and estimated metric distortion. Our motivation comes from manifold learning: we show that when the data g
Externí odkaz:
http://arxiv.org/abs/2410.01149
We introduce algorithms for robustly computing intrinsic coordinates on point clouds. Our approach relies on generating many candidate coordinates by subsampling the data and varying hyperparameters of the embedding algorithm (e.g., manifold learning
Externí odkaz:
http://arxiv.org/abs/2408.01379
We present magneto-optical Kerr effect (MOKE) spectrometer based on a modified Martin-Puplett interferometer, utilizing continuous wave sub-THz low-power radiation in broad frequency range. This spectrometer is capable of measuring the frequency depe
Externí odkaz:
http://arxiv.org/abs/2407.19334
Advances in deep learning systems have allowed large models to match or surpass human accuracy on a number of skills such as image classification, basic programming, and standardized test taking. As the performance of the most capable models begin to
Externí odkaz:
http://arxiv.org/abs/2406.04446
Autor:
Dennig, Frederik L., Joos, Lucas, Paetzold, Patrick, Blumberg, Daniela, Deussen, Oliver, Keim, Daniel A., Fischer, Maximilian T.
Categorical data does not have an intrinsic definition of distance or order, and therefore, established visualization techniques for categorical data only allow for a set-based or frequency-based analysis, e.g., through Euler diagrams or Parallel Set
Externí odkaz:
http://arxiv.org/abs/2404.16044
We construct a stable infinity category with objects flow categories and morphisms flow bimodules; our construction has many flavors, related to a choice of bordism theory, and we discuss in particular framed bordism and the bordism theory of complex
Externí odkaz:
http://arxiv.org/abs/2404.03193