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pro vyhledávání: '"DOCK, CHRIS B."'
Normalizing flows provide an elegant approach to generative modeling that allows for efficient sampling and exact density evaluation of unknown data distributions. However, current techniques have significant limitations in their expressivity when th
Externí odkaz:
http://arxiv.org/abs/2203.11556
Autor:
Balan, Radu, Dock, Chris B.
Publikováno v:
SIAM Journal of Matrix Analysis and Applications, 43(3), 2022
The classical phase retrieval problem arises in contexts ranging from speech recognition to x-ray crystallography and quantum state tomography. The generalization to matrix frames is natural in the sense that it corresponds to quantum tomography of i
Externí odkaz:
http://arxiv.org/abs/2109.14522
Autor:
Das, Suddhasattwa, Dock, Chris B., Saiki, Yoshitaka, Salgado-Flores, Martin, Sander, Evelyn, Wu, Jin, Yorke, James A.
Publikováno v:
Europhysics letters, 116(4), 2016
The Birkhoff Ergodic Theorem asserts under mild conditions that Birkhoff averages (i.e. time averages computed along a trajectory) converge to the space average. For sufficiently smooth systems, our small modification of numerical Birkhoff averages s
Externí odkaz:
http://arxiv.org/abs/1512.07286
Autor:
BALAN, RADU1 rvbalan@umd.edu, DOCK, CHRIS B.1 cdock@umd.edu
Publikováno v:
SIAM Journal on Matrix Analysis & Applications. 2022, Vol. 43 Issue 3, p1518-1571. 54p.
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