Zobrazeno 1 - 10
of 605 838
pro vyhledávání: '"Overestimation"'
Autor:
Li, Jonathan Weiping, Liang, Ren-Wei, Yeh, Cheng-Han, Tsai, Cheng-Chang, Yu, Kuanchun, Lu, Chun-Shien, Chen, Shang-Tse
This paper examines the phenomenon of probabilistic robustness overestimation in TRADES, a prominent adversarial training method. Our study reveals that TRADES sometimes yields disproportionately high PGD validation accuracy compared to the AutoAttac
Externí odkaz:
http://arxiv.org/abs/2410.07675
Understanding the role that magnetic fields play on the stage of galaxy formation requires accurate methods for inferring the properties of extragalactic magnetic fields. Radio synchrotron emission has been the most promising avenue to infer magnetic
Externí odkaz:
http://arxiv.org/abs/2409.08437
Overestimation of melting temperatures calculated by first-principles molecular dynamics simulations
Although the melting temperature, $T_{m}$, of a solid can be calculated based on first-principles molecular dynamics (FP-MD) simulations, systematic assessments of the accuracy of the resulting values have not yet been reported. FP-MD simulations req
Externí odkaz:
http://arxiv.org/abs/2409.00987
Autor:
Nauman, Michal, Bortkiewicz, Michał, Miłoś, Piotr, Trzciński, Tomasz, Ostaszewski, Mateusz, Cygan, Marek
Recent advancements in off-policy Reinforcement Learning (RL) have significantly improved sample efficiency, primarily due to the incorporation of various forms of regularization that enable more gradient update steps than traditional agents. However
Externí odkaz:
http://arxiv.org/abs/2403.00514
Autor:
Forrest, Ben, Cooper, M. C., Muzzin, Adam, Wilson, Gillian, Marchesini, Danilo, McConachie, Ian, Gomez, Percy, Annunziatella, Marianna, Marsan, Z. Cemile, Braspenning, Joey, Chang, Wenjun, de Lucia, Gabriella, Fontanot, Fabio, Hirschmann, Michaela, Nelson, Dylan, Pillepich, Annalisa, Schaye, Joop, Stawinski, Stephanie M. Urbano, Stefanon, Mauro, Xie, Lizhi
We present rest-frame optical spectra from Keck/MOSFIRE and Keck/NIRES of 16 candidate ultramassive galaxies targeted as part of the Massive Ancient Galaxies at $z>3$ Near-Infrared (MAGAZ3NE) Survey. These candidates were selected to have photometric
Externí odkaz:
http://arxiv.org/abs/2404.19018
Autor:
Chen, Shihao1 (AUTHOR), Cui, Qian1 (AUTHOR) cuiqian119@163.com
Publikováno v:
Psychological Research. Mar2024, Vol. 88 Issue 2, p389-403. 15p.
Autor:
Harjunen, Ville Johannes1 (AUTHOR) ville.harjunen@helsinki.fi, Spapé, Michiel2 (AUTHOR), Ravaja, Niklas1 (AUTHOR)
Publikováno v:
PLoS ONE. 7/12/2024, Vol. 19 Issue 7, p1-16. 16p.
Autor:
Cattelani, Luca, Fortino, Vittorio
The challenge in biomarker discovery using machine learning from omics data lies in the abundance of molecular features but scarcity of samples. Most feature selection methods in machine learning require evaluating various sets of features (models) t
Externí odkaz:
http://arxiv.org/abs/2312.16624
Autor:
Rocha, Sônia Maria Cavalcante da1,2 (AUTHOR), Pires, Raull Costa3 (AUTHOR), Monteiro, Daniela Cristina Sensato1,4 (AUTHOR), Cronemberges, Thaís Cavalcante Rocha3 (AUTHOR), Souza, Natália Vasconcelos de3,4 (AUTHOR), Colares, Jeová Keny Baima1,3 (AUTHOR), Lima, Danielle Malta1,3,4 (AUTHOR) danimalta37@gmail.com
Publikováno v:
PLoS Neglected Tropical Diseases. 6/7/2024, Vol. 18 Issue 6, p1-8. 8p.
Autor:
Lee, HyeAnn, Lee, Donghwan
The goal of this paper is to propose a new Q-learning algorithm with a dummy adversarial player, which is called dummy adversarial Q-learning (DAQ), that can effectively regulate the overestimation bias in standard Q-learning. With the dummy player,
Externí odkaz:
http://arxiv.org/abs/2310.06286