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pro vyhledávání: '"Xu, Nancy"'
Time series forecasting lies at the core of important real-world applications in many fields of science and engineering. The abundance of large time series datasets that consist of complex patterns and long-term dependencies has led to the developmen
Externí odkaz:
http://arxiv.org/abs/2307.14680
Time series forecasting is at the core of important application domains posing significant challenges to machine learning algorithms. Recently neural network architectures have been widely applied to the problem of time series forecasting. Most of th
Externí odkaz:
http://arxiv.org/abs/2207.13441
We consider the summatory function of the totient function after applications of a suitable smoothing operator and study the limiting behavior of the associated error term. Under several conditional assumptions, we show that the smoothed error term p
Externí odkaz:
http://arxiv.org/abs/2207.07722
For fixed $t = 2$ or $3$, we investigate the statistical properties of $\{Y_t(n)\}$, the sequence of random variables corresponding to the number of hook lengths divisible by $t$ among the partitions of $n$. We characterize the support of $Y_t(n)$ an
Externí odkaz:
http://arxiv.org/abs/2207.06486
Motivated by the study of the summatory $k$-free indicator and totient functions in the classical setting, we investigate their function field analogues. First, we derive an expression for the error terms of the summatory functions in terms of the ze
Externí odkaz:
http://arxiv.org/abs/2207.00047
Image matching is a key component of many tasks in computer vision and its main objective is to find correspondences between features extracted from different natural images. When images are represented as graphs, image matching boils down to the pro
Externí odkaz:
http://arxiv.org/abs/2205.14275
Autor:
Xu, Nancy
Training a specialized object detection model requires large amounts of labeled data that may not be easily obtainable. In contrast, large amounts of unlabeled data relevant to the task are often available. In this report a semi-supervised approach t
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-292320
Autor:
Xu, Nancy, Masling, Sam, Du, Michael, Campagna, Giovanni, Heck, Larry, Landay, James, Lam, Monica S
Grounding natural language instructions on the web to perform previously unseen tasks enables accessibility and automation. We introduce a task and dataset to train AI agents from open-domain, step-by-step instructions originally written for people.
Externí odkaz:
http://arxiv.org/abs/2103.16057
Ehrhart polynomials are extensively-studied structures that interpolate the discrete volume of the dilations of integral $n$-polytopes. The coefficients of Ehrhart polynomials, however, are still not fully understood, and it is not known when two pol
Externí odkaz:
http://arxiv.org/abs/2101.08771
Autor:
Abney-McPeek, Fiona, Berg, Hugo, Booher, Jeremy, Choi, Sun Mee, Fukala, Viktor, Marinov, Miroslav, Müller, Theo, Narkiewicz, Paweł, Pries, Rachel, Xu, Nancy, Yuan, Andrew
Publikováno v:
Involve 15 (2022) 559-590
Suppose $X$ is a smooth projective connected curve defined over an algebraically closed field of characteristic $p>0$ and $B \subset X$ is a finite, possibly empty, set of points. Booher and Cais determined a lower bound for the $a$-number of a $\mat
Externí odkaz:
http://arxiv.org/abs/2003.09028