Zobrazeno 1 - 10
of 45 799
pro vyhledávání: '"Lee,Jong In"'
To leverage the complex structures within heterogeneous graphs, recent studies on heterogeneous graph embedding use a hyperbolic space, characterized by a constant negative curvature and exponentially increasing space, which aligns with the structura
Externí odkaz:
http://arxiv.org/abs/2411.11283
Quantum error correction (QEC) codes are fundamentally linked to quantum phases of matter: the degenerate ground state manifold corresponds to the code space, while topological excitations represent error syndromes. Building on this concept, the Sach
Externí odkaz:
http://arxiv.org/abs/2410.24225
Autor:
Zierler, Fabian, Bennett, Ed, Forzano, Niccolò, Hong, Deog Ki, Hsiao, Ho, Lee, Jong-Wan, Lin, C. -J. David, Lucini, Biagio, Piai, Maurizio, Vadacchino, Davide
We measure the masses of the pseudoscalar flavour-singlet meson states in the $Sp(4)$ gauge theory coupled to two Dirac fermions transforming in the fundamental representation and three Dirac fermions in the antisymmetric representation. This theory
Externí odkaz:
http://arxiv.org/abs/2410.11412
Autor:
Bennett, Ed, Del Debbio, Luigi, Forzano, Niccolò, Hill, Ryan C., Hong, Deog Ki, Hsiao, Ho, Lee, Jong-Wan, Lin, C. -J. David, Lucini, Biagio, Lupo, Alessandro, Piai, Maurizio, Vadacchino, Davide, Zierler, Fabian
Spectral densities encode non-perturbative information crucial in computing physical observables in strongly coupled field theories. Using lattice gauge theory data, we perform a systematic study to demonstrate the potential of recent technological a
Externí odkaz:
http://arxiv.org/abs/2410.11386
Recent studies have shown that regularization techniques using soft labels, e.g., label smoothing, Mixup, and CutMix, not only enhance image classification accuracy but also improve model calibration and robustness against adversarial attacks. Howeve
Externí odkaz:
http://arxiv.org/abs/2410.03999
Autor:
Park, Hyungkeun, Lee, Jong-Seok
Logit-based knowledge distillation (KD) for classification is cost-efficient compared to feature-based KD but often subject to inferior performance. Recently, it was shown that the performance of logit-based KD can be improved by effectively deliveri
Externí odkaz:
http://arxiv.org/abs/2409.01679
Autor:
Lee, Hojung, Lee, Jong-Seok
Recent advancements in low-cost ensemble learning have demonstrated improved efficiency for image classification. However, the existing low-cost ensemble methods show relatively lower accuracy compared to conventional ensemble learning. In this paper
Externí odkaz:
http://arxiv.org/abs/2408.02307
Autor:
Lee, Hojung, Lee, Jong-Seok
Recent ensemble learning methods for image classification have been shown to improve classification accuracy with low extra cost. However, they still require multiple trained models for ensemble inference, which eventually becomes a significant burde
Externí odkaz:
http://arxiv.org/abs/2408.02301
Autor:
Choi, Yeon-Ho, Park, Myeong-Gu, Kim, Kang-Min, Koo, Jae-Rim, Bang, Tae-Yang, Park, Chan, Jang, Jeong-Gyun, Han, Inwoo, Jang, Bi-Ho, Lee, Jong Ung, Jeong, Ueejeong, Lee, Byeong-Cheol
The SPECtrophotometer for TRansmission spectroscopy of exoplanets (SPECTR) is a new low-resolution optical (3800 {\AA} - 6850 {\AA}) spectrophotometer installed at the Bohyunsan Optical Astronomy Observatory (BOAO) 1.8 m telescope. SPECTR is designed
Externí odkaz:
http://arxiv.org/abs/2407.21268
Digital health chatbots powered by Large Language Models (LLMs) have the potential to significantly improve personal health management for chronic conditions by providing accessible and on-demand health coaching and question-answering. However, these
Externí odkaz:
http://arxiv.org/abs/2407.18044