Zobrazeno 1 - 10
of 105 758
pro vyhledávání: '"Sherry, A."'
Autor:
Abdelfattah, Ahmad, Ahrens, Willow, Anzt, Hartwig, Armstrong, Chris, Brock, Ben, Buluc, Aydin, Busato, Federico, Cojean, Terry, Davis, Tim, Demmel, Jim, Dinh, Grace, Gardener, David, Fiala, Jan, Gates, Mark, Haider, Azzam, Imamura, Toshiyuki, Lara, Pedro Valero, Moreira, Jose, Li, Sherry, Luszczek, Piotr, Melichenko, Max, Moeira, Jose, Mokwinski, Yvan, Murray, Riley, Patty, Spencer, Peles, Slaven, Ribizel, Tobias, Riedy, Jason, Rajamanickam, Siva, Sao, Piyush, Shantharam, Manu, Teranishi, Keita, Tomov, Stan, Tsai, Yu-Hsiang, Weichelt, Heiko
The standardization of an interface for dense linear algebra operations in the BLAS standard has enabled interoperability between different linear algebra libraries, thereby boosting the success of scientific computing, in particular in scientific HP
Externí odkaz:
http://arxiv.org/abs/2411.13259
We consider the dynamics of a continuously monitored qubit in the limit of strong measurement rate where the quantum trajectory is described by a stochastic master equation with Poisson noise. Such limits are expected to give rise to quantum jumps be
Externí odkaz:
http://arxiv.org/abs/2411.11760
Autor:
Vogl, Christian, Taubenberger, Stefan, Csörnyei, Géza, Leibundgut, Bruno, Kerzendorf, Wolfgang E., Sim, Stuart A., Blondin, Stéphane, Flörs, Andreas, Holas, Alexander, Shields, Joshua V., Spyromilio, Jason, Suyu, Sherry H., Hillebrandt, Wolfgang
The ongoing discrepancy in the Hubble constant ($H_0$) estimates obtained through local distance ladder methods and early universe observations poses a significant challenge to the $\Lambda$CDM model, suggesting potential new physics. Type II superno
Externí odkaz:
http://arxiv.org/abs/2411.04968
Autor:
Sherry, Alan, Roy, Sthitadhi
Scrambling unitary dynamics in a quantum system transmutes local quantum information into a non-local web of correlations which manifests itself in a complex spatio-temporal pattern of entanglement. In such a context, we show there can exist three di
Externí odkaz:
http://arxiv.org/abs/2410.24212
As artificial intelligence becomes increasingly sophisticated, companion chatbots have been proposed as a potential solution to the growing epidemic of loneliness. However, the impact of these AI companions on users' psychological well-being and soci
Externí odkaz:
http://arxiv.org/abs/2410.21596
Autor:
Canizares, Priscilla, Murari, Davide, Schönlieb, Carola-Bibiane, Sherry, Ferdia, Shumaylov, Zakhar
Hamilton's equations of motion form a fundamental framework in various branches of physics, including astronomy, quantum mechanics, particle physics, and climate science. Classical numerical solvers are typically employed to compute the time evolutio
Externí odkaz:
http://arxiv.org/abs/2410.18262
Publikováno v:
Proceeedings of the National Academy of Sciences, Vol. 119 (47), 2022
Online reviews significantly impact consumers' decision-making process and firms' economic outcomes and are widely seen as crucial to the success of online markets. Firms, therefore, have a strong incentive to manipulate ratings using fake reviews. T
Externí odkaz:
http://arxiv.org/abs/2410.17507
Autor:
Shen, Rui Sherry, Osmanlıoğlu, Yusuf, Parker, Drew, Aunapu, Darien, Yerys, Benjamin E., Tunç, Birkan, Verma, Ragini
Divergent brain connectivity is thought to underlie the behavioral and cognitive symptoms observed in many neurodevelopmental disorders. Quantifying divergence from neurotypical connectivity patterns offers a promising pathway to inform diagnosis and
Externí odkaz:
http://arxiv.org/abs/2410.11064
Autor:
Soni, Achint, Venkataraman, Sreyas, Chandra, Abhranil, Fischmeister, Sebastian, Liang, Percy, Dai, Bo, Yang, Sherry
Video generation has been used to generate visual plans for controlling robotic systems. Given an image observation and a language instruction, previous work has generated video plans which are then converted to robot controls to be executed. However
Externí odkaz:
http://arxiv.org/abs/2410.10076
Despite the strong performance in many computer vision tasks, Convolutional Neural Networks (CNNs) can sometimes struggle to efficiently capture long-range, complex non-linear dependencies in deeper layers of the network. We address this limitation b
Externí odkaz:
http://arxiv.org/abs/2410.05500