Zobrazeno 1 - 10
of 2 031
pro vyhledávání: '"Vishwas P."'
We study the \emph{order-finding problem} for Read-once Oblivious Algebraic Branching Programs (ROABPs). Given a polynomial $f$ and a parameter $w$, the goal is to find an order $\sigma$ in which $f$ has an ROABP of \emph{width} $w$. We show that thi
Externí odkaz:
http://arxiv.org/abs/2411.18981
Autor:
Peng, Bo, Battaia, Fabrizio Arrigoni, Vishwas, Amit, Li, Mingyu, Iani, Eduardo, Sun, Fengwu, Li, Qiong, Ferkinhoff, Carl, Stacey, Gordon, Cai, Zheng
Although the circumgalactic medium (CGM) plays a vital role in galaxy evolution, studying the emission from CGM is challenging due to its low surface brightness and the complexities involved in interpreting resonant lines like Ly$\alpha$. The near-in
Externí odkaz:
http://arxiv.org/abs/2410.10993
Autor:
Vincent, Olivia, Sreekumari, Aparna, Gopalakrishnan, Manoj, Vasisht, Vishwas V, Sarangi, Bibhu Ranjan
We investigate the positional behavior of a single bacterium confined within a vesicle by measuring the probability of locating the bacterium at a certain distance from the vesicle boundary. We observe that the distribution is bi-exponential in natur
Externí odkaz:
http://arxiv.org/abs/2409.03578
Autor:
Bhargava, Vishwas, Tengse, Anamay
The dimension of partial derivatives (Nisan and Wigderson, 1997) is a popular measure for proving lower bounds in algebraic complexity. It is used to give strong lower bounds on the Waring decomposition of polynomials (called Waring rank). This natur
Externí odkaz:
http://arxiv.org/abs/2407.10143
This paper demonstrates the scalability of open-source GPU-accelerated nonlinear programming (NLP) frameworks -- ExaModels.jl and MadNLP.jl -- for solving multi-period alternating current (AC) optimal power flow (OPF) problems on GPUs with high memor
Externí odkaz:
http://arxiv.org/abs/2405.14032
Autor:
Jena, Sushovan, Saini, Vishwas, Shaw, Ujjwal, Jain, Pavitra, Raihal, Abhay Singh, Banerjee, Anoushka, Joshi, Sharad, Ganesh, Ananth, Bhavsar, Arnav
Unsupervised anomaly detection encompasses diverse applications in industrial settings where a high-throughput and precision is imperative. Early works were centered around one-class-one-model paradigm, which poses significant challenges in large-sca
Externí odkaz:
http://arxiv.org/abs/2405.06467
Large Language Models (LLMs) are a powerful technology that augment human skill to create new opportunities, akin to the development of steam engines and the internet. However, LLMs come with a high cost. They require significant computing resources
Externí odkaz:
http://arxiv.org/abs/2404.09356
Autor:
Kamieneski, Patrick S., Frye, Brenda L., Windhorst, Rogier A., Harrington, Kevin C., Yun, Min S., Noble, Allison, Pascale, Massimo, Foo, Nicholas, Cohen, Seth H., Jansen, Rolf A., Carleton, Timothy, Koekemoer, Anton M., Willmer, Christopher N. A., Summers, Jake S., Garuda, Nikhil, Leimbach, Reagen, Holwerda, Benne W., Pierel, Justin D. R., Jimenez-Andrade, Eric F., Willner, S. P., Pampliega, Belen Alcalde, Vishwas, Amit, Keel, William C., Wang, Q. Daniel, Cheng, Cheng, Coe, Dan, Conselice, Christopher J., D'Silva, Jordan C. J., Driver, Simon P., Grogin, Norman A., Hinrichs, Tyler, Lowenthal, James D., Marshall, Madeline A., Nonino, Mario, Ortiz III, Rafael, Pigarelli, Alex, Pirzkal, Nor, Polletta, Maria del Carmen, Robotham, Aaron S. G., Ryan Jr., Russell E., Yan, Haojing
We present a new parametric lens model for the G165.7+67.0 galaxy cluster, which was discovered with $Planck$ through its bright submillimeter flux, originating from a pair of extraordinary dusty star-forming galaxies (DSFGs) at $z\approx 2.2$. Using
Externí odkaz:
http://arxiv.org/abs/2404.08058
This paper tackles optimal sensor placement for Bayesian linear inverse problems, a popular version of the more general Optimal Experiment Design (OED) problem, using the D-optimality criterion. This is done by establishing connections between sensor
Externí odkaz:
http://arxiv.org/abs/2402.16000
Strong Constraint 4D Variational (SC-4DVAR) is a data assimilation method that is widely used in climate and weather applications. SC-4DVAR involves solving a minimization problem to compute the maximum a posteriori estimate, which we tackle using th
Externí odkaz:
http://arxiv.org/abs/2401.15758