Zobrazeno 1 - 10
of 13 278
pro vyhledávání: '"Kim， Seok"'
We construct infinitely many new $\frac{1}{16}$-BPS cohomologies of the 4d maximal super-Yang-Mills theory and interpret them as a black hole wrapped by dual giant graviton hairs. Since the black hole inside a dual giant feels the RR 5-form flux redu
Externí odkaz:
http://arxiv.org/abs/2412.08695
Autor:
Kim, Seok-Jin, Oh, Min-hwan
We study the performance guarantees of exploration-free greedy algorithms for the linear contextual bandit problem. We introduce a novel condition, named the \textit{Local Anti-Concentration} (LAC) condition, which enables a greedy bandit algorithm t
Externí odkaz:
http://arxiv.org/abs/2411.12878
Autor:
Choi, Sunjin, Jain, Diksha, Kim, Seok, Krishna, Vineeth, Lee, Eunwoo, Minwalla, Shiraz, Patel, Chintan
Charged Black holes in $AdS_5 \times S^5$ suffer from superradiant instabilities over a range of energies. Hairy black hole solutions (constructed within gauged supergravity) have previously been proposed as endpoints to this instability. We demonstr
Externí odkaz:
http://arxiv.org/abs/2409.18178
Autor:
Kim, Seok Hyeon
As businesses continue to adapt to the shift toward the digitalization of corporate tasks, one particular remaining financial and temporal bottleneck is the need for manual labor in interpreting digital documents and recording relevant information. M
Externí odkaz:
https://hdl.handle.net/1721.1/153889
Autor:
Lee, Haeyun, Chai, Young Jun, Joo, Hyunjin, Lee, Kyungsu, Hwang, Jae Youn, Kim, Seok-Mo, Kim, Kwangsoon, Nam, Inn-Chul, Choi, June Young, Yu, Hyeong Won, Lee, Myung-Chul, Masuoka, Hiroo, Miyauchi, Akira, Lee, Kyu Eun, Kim, Sungwan, Kong, Hyoun-Joong
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 5, p e25869 (2021)
BackgroundFederated learning is a decentralized approach to machine learning; it is a training strategy that overcomes medical data privacy regulations and generalizes deep learning algorithms. Federated learning mitigates many systemic privacy risks
Externí odkaz:
https://doaj.org/article/784b3ffa8f064e2b8287c4b72afd671e
Autor:
Ryu, Borim, Yoon, Eunsil, Kim, Seok, Lee, Sejoon, Baek, Hyunyoung, Yi, Soyoung, Na, Hee Young, Kim, Ji-Won, Baek, Rong-Min, Hwang, Hee, Yoo, Sooyoung
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 12, p e18526 (2020)
BackgroundCommon data models (CDMs) help standardize electronic health record data and facilitate outcome analysis for observational and longitudinal research. An analysis of pathology reports is required to establish fundamental information infrastr
Externí odkaz:
https://doaj.org/article/7c56f8795ff846869df3711a2add46b7
We study new cohomologies for the BPS operators of the $\mathcal{N}=4$ Yang-Mills theory with $SU(3)$ and $SU(4)$ gauge groups, to better understand the black hole microstates. We first study the index of these black hole operators and identify their
Externí odkaz:
http://arxiv.org/abs/2312.16443
We introduce EM-Network, a novel self-distillation approach that effectively leverages target information for supervised sequence-to-sequence (seq2seq) learning. In contrast to conventional methods, it is trained with oracle guidance, which is derive
Externí odkaz:
http://arxiv.org/abs/2306.10058
Self-supervised learning (SSL) has shown significant progress in speech processing tasks. However, despite the intrinsic randomness in the Transformer structure, such as dropout variants and layer-drop, improving the model-level consistency remains u
Externí odkaz:
http://arxiv.org/abs/2306.08463
Kerr-AdS$_{d+1}$ black holes for $d\geq 3$ suffer from classical superradiant instabilities over a range of masses above extremality. We conjecture that these instabilities settle down into Grey Galaxies (GGs) - a new class of coarse-grained solution
Externí odkaz:
http://arxiv.org/abs/2305.08922