Zobrazeno 1 - 10
of 19 556
pro vyhledávání: '"Park Jeong"'
Autor:
Lee Dong Won, Lee Kihyun, Jung Bongki, Lee Jongchul, Park Jeong Hoon, Kim Jongyul, Moon Myung Kook, Lee Chang Hee
Publikováno v:
EPJ Web of Conferences, Vol 298, p 05004 (2024)
KAERI has developed plasma heating systems and fusion engineering technologies such as blanket first wall and breeding blanket for nuclear fusion reactor development, as well as nuclear data production. Based on these technologies, we have successful
Externí odkaz:
https://doaj.org/article/597c5552622840cab5a09a86410cdeeb
Recent AI-based 3D content creation has largely evolved along two paths: feed-forward image-to-3D reconstruction approaches and 3D generative models trained with 2D or 3D supervision. In this work, we show that existing feed-forward reconstruction me
Externí odkaz:
http://arxiv.org/abs/2501.00651
We propose a Lorentzian wormhole geometry characterized by a closed string massless sector with nontrivial $H$-flux and a scalar dilaton. In the string frame, the dilaton exhibits a negative kinetic term, enabling the existence of the wormhole. The g
Externí odkaz:
http://arxiv.org/abs/2412.04128
Autor:
Cho, Minkyoung, Cao, Yulong, Sun, Jiachen, Zhang, Qingzhao, Pavone, Marco, Park, Jeong Joon, Yang, Heng, Mao, Z. Morley
An important paradigm in 3D object detection is the use of multiple modalities to enhance accuracy in both normal and challenging conditions, particularly for long-tail scenarios. To address this, recent studies have explored two directions of adapti
Externí odkaz:
http://arxiv.org/abs/2410.12592
Autor:
Rabault, Jean, Taelman, Catherine, Idžanović, Martina, Hope, Gaute, Nose, Takehiko, Kristoffersen, Yngve, Jensen, Atle, Breivik, Øyvind, Bryhni, Helge Thomas, Hoppmann, Mario, Demchev, Denis, Korosov, Anton, Johansson, Malin, Eltoft, Torbjørn, Dagestad, Knut-Frode, Röhrs, Johannes, Eriksson, Leif, Moro, Marina Durán, Rikardsen, Edel S. U., Waseda, Takuji, Kodaira, Tsubasa, Lohse, Johannes, Desjonquères, Thibault, Olsen, Sveinung, Gundersen, Olav, de Aguiar, Victor Cesar Martins, Karlsen, Truls, Babanin, Alexander, Voermans, Joey, Park, Jeong-Won, Müller, Malte
Sea ice is a key element of the global Earth system, with a major impact on global climate and regional weather. Unfortunately, accurate sea ice modeling is challenging due to the diversity and complexity of underlying physics happening there, and a
Externí odkaz:
http://arxiv.org/abs/2409.04151
Publikováno v:
Jour Appl Statist 49 (2022) 1559-1573
The four-parameter kappa distribution (K4D) is a generalized form of some commonly used distributions such as generalized logistic, generalized Pareto, generalized Gumbel, and generalized extreme value (GEV) distributions. Owing to its flexibility, t
Externí odkaz:
http://arxiv.org/abs/2408.09631
Autor:
Shin, Yire, Park, Jeong-Soo
Publikováno v:
Stoch Environ Res Risk Assess 38 (2024) 1567-1581
The effective use of available information in extreme value analysis is critical because extreme values are scarce. Thus, using the $r$ largest order statistics (rLOS) instead of the block maxima is encouraged. Based on the four-parameter kappa model
Externí odkaz:
http://arxiv.org/abs/2408.08764
Autor:
Wang, Boyang, Sridhar, Nikhil, Feng, Chao, Van der Merwe, Mark, Fishman, Adam, Fazeli, Nima, Park, Jeong Joon
We propose a robot learning method for communicating, planning, and executing a wide range of tasks, dubbed This&That. We achieve robot planning for general tasks by leveraging the power of video generative models trained on internet-scale data conta
Externí odkaz:
http://arxiv.org/abs/2407.05530
We introduce a general framework for solving partial differential equations (PDEs) using generative diffusion models. In particular, we focus on the scenarios where we do not have the full knowledge of the scene necessary to apply classical solvers.
Externí odkaz:
http://arxiv.org/abs/2406.17763
Autor:
Kumar, Roshan Krishna, Li, Geng, Bertini, Riccardo, Chaudhary, Swati, Nowakowski, Krystian, Park, Jeong Min, Castilla, Sebastian, Zhan, Zhen, Pantaleón, Pierre A., Agarwal, Hitesh, Battle-Porro, Sergi, Icking, Eike, Ceccanti, Matteo, Reserbat-Plantey, Antoine, Piccinini, Giulia, Barrier, Julien, Khestanova, Ekaterina, Taniguchi, Takashi, Watanabe, Kenji, Stampfer, Christoph, Refael, Gil, Guinea, Francisco, Jarillo-Herrero, Pablo, Song, Justin C. W., Stepanov, Petr, Lewandowski, Cyprian, Koppens, Frank H. L.
Moir\'e materials represent strongly interacting electron systems bridging topological and correlated physics. Despite significant advances, decoding wavefunction properties underlying the quantum geometry remains challenging. Here, we utilize polari
Externí odkaz:
http://arxiv.org/abs/2406.16532