Zobrazeno 1 - 10
of 692
pro vyhledávání: '"A P, Oko"'
We study the problem of gradient descent learning of a single-index target function $f_*(\boldsymbol{x}) = \textstyle\sigma_*\left(\langle\boldsymbol{x},\boldsymbol{\theta}\rangle\right)$ under isotropic Gaussian data in $\mathbb{R}^d$, where the lin
Externí odkaz:
http://arxiv.org/abs/2406.01581
Flow matching (FM) has gained significant attention as a simulation-free generative model. Unlike diffusion models, which are based on stochastic differential equations, FM employs a simpler approach by solving an ordinary differential equation with
Externí odkaz:
http://arxiv.org/abs/2405.20879
In this paper, we extend mean-field Langevin dynamics to minimax optimization over probability distributions for the first time with symmetric and provably convergent updates. We propose mean-field Langevin averaged gradient (MFL-AG), a single-loop a
Externí odkaz:
http://arxiv.org/abs/2312.01127
Autor:
Inostroza-Pino, Natalia, Lattanzi, Valerio, Palmer, C. Zachary, Fortenberry, Ryan C., Mardones, Diego, Caselli, Paola, Godwin, Oko E., Lee, Timothy J.
The synergy between high-resolution rotational spectroscopy and quantum-chemical calculations is essential for exploring future detection of molecules, especially when spectroscopy parameters are not available yet. By using highly correlated ab initi
Externí odkaz:
http://arxiv.org/abs/2311.09063
Starches are important energy sources found in plants with many uses in the pharmaceutical industry such as binders, disintegrants, bulking agents in drugs and thus require very careful physicochemical analysis for proper identification and verificat
Externí odkaz:
http://arxiv.org/abs/2305.05321
The entropic fictitious play (EFP) is a recently proposed algorithm that minimizes the sum of a convex functional and entropy in the space of measures -- such an objective naturally arises in the optimization of a two-layer neural network in the mean
Externí odkaz:
http://arxiv.org/abs/2303.02957
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 10, Iss , Pp 100817- (2024)
This study introduces an innovative approach to day-ahead solar irradiance forecasting, utilizing the NeuralProphet model—a deep learning-based extension of the Prophet tool—to effectively manage the complexities of time-series data in solar ener
Externí odkaz:
https://doaj.org/article/7c773adadc654ce7a54ac01c37dc911f
Autor:
Tohid N. Borhani, Mohammad Reza Abbasi, Morteza Hosseinpour, Mohsen Salimi, Morteza Afkhamipour, Eni Oko, Kyra Sedransk Campbell, Navid Kahllaghi
Publikováno v:
Carbon Capture Science & Technology, Vol 13, Iss , Pp 100325- (2024)
In order to control global warming and CO2 emissions to the atmosphere, carbon capture from the carbon production source is considered the short- to midterm solution. The CO2 absorption-desorption process is recognised as a mature process that has be
Externí odkaz:
https://doaj.org/article/601e2eb630ae474d92eb83315bedf700
Publikováno v:
Scientific African, Vol 26, Iss , Pp e02488- (2024)
Networked micro-grid topologies are important for several reasons. First, they make it possible to connect decentralized energy sources like solar PV installations, micro- and mini-scale wind turbines, etc., to the main power grid. This has the poten
Externí odkaz:
https://doaj.org/article/42bcf6c4b79d4d6996f64764663a2a39
Publikováno v:
Cogent Social Sciences, Vol 10, Iss 1 (2024)
Religious extremism and radicalization have dominated the discourse on the causes of terrorism. However, little is written of other drivers of terrorism, such as economic and social deprivations, which could prompt religious groups to resort to terro
Externí odkaz:
https://doaj.org/article/80706b5f5fc74a31b82cc08579de7af8