Zobrazeno 1 - 10
of 100 721
pro vyhledávání: '"Valery, A"'
Autor:
Shchesnovich, Valery
Quantum models of interacting bosons have wide range of applications, among them the propagation of optical modes in nonlinear media, such as the $k$-photon down conversion. Many of such models are related to nonlinear deformations of finite group al
Externí odkaz:
http://arxiv.org/abs/2411.14204
Autor:
Ryzhikov, Valery V.
We discuss and present some statements for flows related to the Krygin-Atkinson theorem on the recurrence of cylindrical cascades.
Comment: In English and in Russian
Comment: In English and in Russian
Externí odkaz:
http://arxiv.org/abs/2411.13486
Autor:
Ryzhikov, Valery V.
In 1949, V.A. Rokhlin introduced new invariants for measure-preserving transformations, called k-fold mixing. Does mixing imply k-fold mixing? -- this problem remains open. We recall shortly some results and discuss related problems.
Externí odkaz:
http://arxiv.org/abs/2411.07234
Autor:
Ryzhikov, Valery V.
For every natural $n>1$, there is an operator $T$ of dynamical origin such that its tensor power $T^{\otimes n}$ has singular spectrum, and $T^{\otimes (n+1)}$ has absolutely continuous one. For a set $D$ of positive measure there are mixing zero ent
Externí odkaz:
http://arxiv.org/abs/2411.02024
In this paper, we develop an online optimization algorithm for solving a class of nonconvex optimization problems with a linearly varying optimal point. The global convergence of the algorithm is guaranteed using the circle criterion for the class of
Externí odkaz:
http://arxiv.org/abs/2411.01826
Since the emergence of the ImageNet dataset, the pretraining and fine-tuning approach has become widely adopted in computer vision due to the ability of ImageNet-pretrained models to learn a wide variety of visual features. However, a significant cha
Externí odkaz:
http://arxiv.org/abs/2410.15886
Vision-language supervision has made remarkable strides in learning visual representations from textual guidance. In digital pathology, vision-language models (VLM), pre-trained on curated datasets of histological image-captions, have been adapted to
Externí odkaz:
http://arxiv.org/abs/2410.15881
Autor:
Ryzhikov, Valery V.
We answer the question of Frantzikinakis and Host about the convergence of ergodic $(n^2,n^3)$-averages and consider a more general case. Let sequences ${ p(n)},{ q(n)}$ satisfy the property $ p(n+1)- p(n), \ q(n+1)- q(n)\ \to\ +\infty.$ Then there e
Externí odkaz:
http://arxiv.org/abs/2410.11787
In this work, we propose FlowMRI-Net, a novel deep learning-based framework for fast reconstruction of accelerated 4D flow magnetic resonance imaging (MRI) using physics-driven unrolled optimization and a complexvalued convolutional recurrent neural
Externí odkaz:
http://arxiv.org/abs/2410.08856
Autor:
Caune, Laura, Skoric, Luka, Blunt, Nick S., Ruban, Archibald, McDaniel, Jimmy, Valery, Joseph A., Patterson, Andrew D., Gramolin, Alexander V., Majaniemi, Joonas, Barnes, Kenton M., Bialas, Tomasz, Buğdaycı, Okan, Crawford, Ophelia, Gehér, György P., Krovi, Hari, Matekole, Elisha, Topal, Canberk, Poletto, Stefano, Bryant, Michael, Snyder, Kalan, Gillespie, Neil I., Jones, Glenn, Johar, Kauser, Campbell, Earl T., Hill, Alexander D.
Quantum error correction (QEC) will be essential to achieve the accuracy needed for quantum computers to realise their full potential. The field has seen promising progress with demonstrations of early QEC and real-time decoded experiments. As quantu
Externí odkaz:
http://arxiv.org/abs/2410.05202