Zobrazeno 1 - 10
of 41 831
pro vyhledávání: '"A, Ilias"'
Autor:
Kokorev, Vasily, Atek, Hakim, Chisholm, John, Endsley, Ryan, Chemerynska, Iryna, Muñoz, Julian B., Furtak, Lukas J., Pan, Richard, Berg, Danielle, Fujimoto, Seiji, Oesch, Pascal A., Weibel, Andrea, Adamo, Angela, Blaizot, Jeremy, Bouwens, Rychard, Dessauges-Zavadsky, Miroslava, Khullar, Gourav, Korber, Damien, Goovaerts, Ilias, Jecmen, Michelle, Labbé, Ivo, Leclercq, Floriane, Marques-Chaves, Rui, Mason, Charlotte, McQuinn, Kristen B. W., Naidu, Rohan, Natarajan, Priyamvada, Nelson, Erica, Rosdahl, Joki, Saldana-Lopez, Alberto, Schaerer, Daniel, Trebitsch, Maxime, Volonteri, Marta, Zitrin, Adi
We report the discovery of five galaxy candidates at redshifts between $15.9
Externí odkaz:
http://arxiv.org/abs/2411.13640
We study the problem of PAC learning halfspaces in the reliable agnostic model of Kalai et al. (2012). The reliable PAC model captures learning scenarios where one type of error is costlier than the others. Our main positive result is a new algorithm
Externí odkaz:
http://arxiv.org/abs/2411.11238
We study the problem of learning a single neuron with respect to the $L_2^2$-loss in the presence of adversarial distribution shifts, where the labels can be arbitrary, and the goal is to find a ``best-fit'' function. More precisely, given training s
Externí odkaz:
http://arxiv.org/abs/2411.06697
A single-index model (SIM) is a function of the form $\sigma(\mathbf{w}^{\ast} \cdot \mathbf{x})$, where $\sigma: \mathbb{R} \to \mathbb{R}$ is a known link function and $\mathbf{w}^{\ast}$ is a hidden unit vector. We study the task of learning SIMs
Externí odkaz:
http://arxiv.org/abs/2411.05708
Large Language Model (LLM) inference on large-scale systems is expected to dominate future cloud infrastructures. Efficient LLM inference in cloud environments with numerous AI accelerators is challenging, necessitating extensive optimizations for op
Externí odkaz:
http://arxiv.org/abs/2411.05555
Autor:
Hershcovitch, Moshik, Wood, Andrew, Choshen, Leshem, Girmonsky, Guy, Leibovitz, Roy, Ennmouri, Ilias, Malka, Michal, Chin, Peter, Sundararaman, Swaminathan, Harnik, Danny
With the growth of model sizes and the scale of their deployment, their sheer size burdens the infrastructure requiring more network and more storage to accommodate these. While there is a vast model compression literature deleting parts of the model
Externí odkaz:
http://arxiv.org/abs/2411.05239
Non-Gaussian Component Analysis (NGCA) is the statistical task of finding a non-Gaussian direction in a high-dimensional dataset. Specifically, given i.i.d.\ samples from a distribution $P^A_{v}$ on $\mathbb{R}^n$ that behaves like a known distributi
Externí odkaz:
http://arxiv.org/abs/2410.21426
Autor:
Steinmetz, Christian J., Singh, Shubhr, Comunità, Marco, Ibnyahya, Ilias, Yuan, Shanxin, Benetos, Emmanouil, Reiss, Joshua D.
Audio production style transfer is the task of processing an input to impart stylistic elements from a reference recording. Existing approaches often train a neural network to estimate control parameters for a set of audio effects. However, these app
Externí odkaz:
http://arxiv.org/abs/2410.21233
We prove that there is a universal constant $C>0$ so that for every $d \in \mathbb N$, every centered subgaussian distribution $\mathcal D$ on $\mathbb R^d$, and every even $p \in \mathbb N$, the $d$-variate polynomial $(Cp)^{p/2} \cdot \|v\|_{2}^p -
Externí odkaz:
http://arxiv.org/abs/2410.21194
Autor:
Hossain, Md Shafayat, Muhammad, Zahir, Islam, Rajibul, Cheng, Zi-Jia, Jiang, Yu-Xiao, Litskevich, Maksim, Cochran, Tyler A., Yang, Xian P., Kim, Byunghoon, Xue, Fei, Perakis, Ilias E., Zhao, Weisheng, Kargarian, Mehdi, Balicas, Luis, Neupert, Titus, Hasan, M. Zahid
Nematic quantum fluids appear in strongly interacting systems and break the rotational symmetry of the crystallographic lattice. In metals, this is connected to a well-known instability of the Fermi liquid-the Pomeranchuk instability. Using scanning
Externí odkaz:
http://arxiv.org/abs/2410.19636