Zobrazeno 1 - 10
of 5 917
pro vyhledávání: '"Dalmasso, A."'
Autor:
Ghassemi, Mohsen, Mishler, Alan, Dalmasso, Niccolo, Zhang, Luhao, Potluru, Vamsi K., Balch, Tucker, Veloso, Manuela
Conditional demographic parity (CDP) is a measure of the demographic parity of a predictive model or decision process when conditioning on an additional feature or set of features. Many algorithmic fairness techniques exist to target demographic pari
Externí odkaz:
http://arxiv.org/abs/2410.14029
In this paper we introduce the John-Nirenberg's type spaces $\text{JN}_p$ associated with the Gaussian measure $d\gamma(x) = \pi^{-d/2}e^{-|x|^2}dx$ in $\mathbb{R}^d$ where $1
Externí odkaz:
http://arxiv.org/abs/2409.18354
We propose a test of the significance of a variable appearing on the Lasso path and use it in a procedure for selecting one of the models of the Lasso path, controlling the Family-Wise Error Rate. Our null hypothesis depends on a set A of already sel
Externí odkaz:
http://arxiv.org/abs/2409.02269
Autor:
Dalmasso, Nicolò, Calabrò, Antonello, Leethochawalit, Nicha, Vulcani, Benedetta, Boyett, Kristan, Trenti, Michele, Treu, Tommaso, Castellano, Marco, Bradač, Maruša, Metha, Benjamin, Santini, Paola
We present an analysis of the galaxy merger rate in the redshift range $4.0
Externí odkaz:
http://arxiv.org/abs/2403.11428
We report measurements of the galaxy two-point correlation function at cosmic dawn, using photometrically-selected sources from the JWST Advanced Deep Extragalactic Survey (JADES). The JWST/NIRCam dataset comprises approximately $N_g \simeq 7000$ pho
Externí odkaz:
http://arxiv.org/abs/2402.18052
We will show that, contrary to the behavior of the higher order Riesz transforms studied so far on the atomic Hardy space $\mathcal{H}^1(\mathbb R^n, \gamma)$, associated with the Ornstein-Uhlenbeck operator with respect to the $n$-dimensional Gaussi
Externí odkaz:
http://arxiv.org/abs/2402.05082
Autor:
Potluru, Vamsi K., Borrajo, Daniel, Coletta, Andrea, Dalmasso, Niccolò, El-Laham, Yousef, Fons, Elizabeth, Ghassemi, Mohsen, Gopalakrishnan, Sriram, Gosai, Vikesh, Kreačić, Eleonora, Mani, Ganapathy, Obitayo, Saheed, Paramanand, Deepak, Raman, Natraj, Solonin, Mikhail, Sood, Srijan, Vyetrenko, Svitlana, Zhu, Haibei, Veloso, Manuela, Balch, Tucker
Synthetic data has made tremendous strides in various commercial settings including finance, healthcare, and virtual reality. We present a broad overview of prototypical applications of synthetic data in the financial sector and in particular provide
Externí odkaz:
http://arxiv.org/abs/2401.00081
We present a novel approach for measuring the two-point correlation function of galaxies in narrow pencil beam surveys with varying depths. Our methodology is utilized to expand high-redshift galaxy clustering investigations up to $z \sim 8$ by analy
Externí odkaz:
http://arxiv.org/abs/2312.12329
Publikováno v:
Transformation Groups (2024)
We construct indefinite Einstein solvmanifolds that are standard, but not of pseudo-Iwasawa type. Thus, the underlying Lie algebras take the form $\mathfrak{g}\rtimes_D\mathbb{R}$, where $\mathfrak{g}$ is a nilpotent Lie algebra and $D$ is a nonsymme
Externí odkaz:
http://arxiv.org/abs/2312.03125
Autor:
Xiong, Zikai, Dalmasso, Niccolò, Sharma, Shubham, Lecue, Freddy, Magazzeni, Daniele, Potluru, Vamsi K., Balch, Tucker, Veloso, Manuela
Data distillation and coresets have emerged as popular approaches to generate a smaller representative set of samples for downstream learning tasks to handle large-scale datasets. At the same time, machine learning is being increasingly applied to de
Externí odkaz:
http://arxiv.org/abs/2311.05436