Zobrazeno 1 - 10
of 43 226
pro vyhledávání: '"A, Ilias"'
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
The stringent regulatory requirements on nitrogen oxides (NOx) emissions from diesel compression ignition engines require accurate and reliable models for real-time monitoring and diagnostics. Although traditional methods such as physical sensors and
Externí odkaz:
http://arxiv.org/abs/2410.18424
Autor:
Meng, Fanyu, Larke, Jules, Liu, Xin, Kong, Zhaodan, Chen, Xin, Lemay, Danielle, Tagkopoulos, Ilias
Machine learning is revolutionizing nutrition science by enabling systems to learn from data and make intelligent decisions. However, the complexity of these models often leads to challenges in understanding their decision-making processes, necessita
Externí odkaz:
http://arxiv.org/abs/2410.14082
Predicting case criticality helps legal professionals in the court system manage large volumes of case law. This paper introduces the Criticality Prediction dataset, a new resource for evaluating the potential influence of Swiss Federal Supreme Court
Externí odkaz:
http://arxiv.org/abs/2410.13460
Autor:
Troboukis, Thanasis, Kiki, Kelly, Galanopoulos, Antonis, Sermpezis, Pavlos, Karamanidis, Stelios, Dimitriadis, Ilias, Vakali, Athena
This chapter introduces a research project titled "Analyzing the Political Discourse: A Collaboration Between Humans and Artificial Intelligence", which was initiated in preparation for Greece's 2023 general elections. The project focused on the anal
Externí odkaz:
http://arxiv.org/abs/2410.13400
Zimin words are words that have the same prefix and suffix. They are unavoidable patterns, with all sufficiently large strings encompassing them. Here, we examine for the first time the presence of k-mers not containing any Zimin patterns, defined he
Externí odkaz:
http://arxiv.org/abs/2410.13004
Large Language Models (LLMs) have gained prominence in the AI landscape due to their exceptional performance. Thus, it is essential to gain a better understanding of their capabilities and limitations, among others in terms of nonmonotonic reasoning.
Externí odkaz:
http://arxiv.org/abs/2410.12509