Zobrazeno 1 - 10
of 895 757
pro vyhledávání: '"A. Sung"'
Autor:
E. Aaron, P. Agnes, I. Ahmad, S. Albergo, I. F. M. Albuquerque, T. Alexander, A. K. Alton, P. Amaudruz, M. Atzori Corona, M. Ave, I. Ch. Avetisov, O. Azzolini, H. O. Back, Z. Balmforth, A. Barrado, P. Barrillon, A. Basco, G. Batignani, V. Bocci, W. M. Bonivento, B. Bottino, M. G. Boulay, J. Busto, M. Cadeddu, A. Caminata, N. Canci, A. Capra, S. Caprioli, M. Caravati, N. Cargioli, M. Carlini, P. Castello, P. Cavalcante, S. Cavuoti, S. Cebrian, J. M. Cela Ruiz, S. Chashin, A. Chepurnov, E. Chyhyrynets, L. Cifarelli, D. Cintas, M. Citterio, B. Cleveland, V. Cocco, E. Conde Vilda, L. Consiglio, S. Copello, G. Covone, M. Czubak, M. D’Aniello, S. D’Auria, M. D. Da Rocha Rolo, S. Davini, S. De Cecco, G. De Guido, D. De Gruttola, S. De Pasquale, G. De Rosa, G. Dellacasa, A. V. Derbin, A. Devoto, F. Di Capua, L. Di Noto, P. Di Stefano, G. Dolganov, F. Dordei, E. Ellingwood, T. Erjavec, S. Farenzena, M. Fernandez Diaz, G. Fiorillo, P. Franchini, D. Franco, N. Funicello, F. Gabriele, D. Gahan, C. Galbiati, G. Gallina, G. Gallus, M. Garbini, P. Garcia Abia, A. Gendotti, C. Ghiano, C. Giganti, G. K. Giovanetti, V. Goicoechea Casanueva, A. Gola, G. Grauso, G. Grilli di Cortona, A. Grobov, M. Gromov, M. Guan, M. Guerzoni, M. Gulino, C. Guo, B. R. Hackett, A. L. Hallin, A. Hamer, M. Haranczyk, T. Hessel, S. Hill, S. Horikawa, F. Hubaut, J. Hucker, T. Hugues, An. Ianni, V. Ippolito, C. Jillings, S. Jois, P. Kachru, A. A. Kemp, C. L. Kendziora, M. Kimura, I. Kochanek, K. Kondo, G. Korga, S. Koulosousas, A. Kubankin, M. Kuss, M. Kuźniak, M. La Commara, M. Lai, N. Lami, E. Le Guirriec, E. Leason, A. Leoni, L. Lidey, F. Lippi, M. Lissia, L. Luzzi, O. Lychagina, N. Maccioni, O. Macfadyen, I. N. Machulin, S. Manecki, I. Manthos, L. Mapelli, A. Margotti, S. M. Mari, C. Mariani, J. Maricic, A. Marini, M. Martínez, C. J. Martoff, M. Mascia, A. Masoni, G. Matteucci, K. Mavrokoridis, C. Maxia, A. B. McDonald, A. Messina, R. Milincic, A. Mitra, A. Moharana, S. Moioli, J. Monroe, E. Moretti, M. Morrocchi, T. Mróz, V. N. Muratova, C. Muscas, P. Musico, R. Nania, M. Nessi, K. Nikolopoulos, J. Nowak, K. Olchansky, A. Oleinik, V. Oleynikov, P. Organtini, A. Ortiz de Solórzano, L. Pagani, M. Pallavicini, L. Pandola, E. Pantic, E. Paoloni, G. Paternoster, P. A. Pegoraro, K. Pelczar, L. A. Pellegrini, C. Pellegrino, V. Pesudo, S. Piacentini, L. Pietrofaccia, N. Pino, A. Pocar, D. M. Poehlmann, S. Pordes, P. Pralavorio, D. Price, F. Ragusa, Y. Ramachers, M. Razeti, A. L. Renshaw, M. Rescigno, F. Retiere, L. P. Rignanese, C. Ripoli, A. Rivetti, A. Roberts, C. Roberts, J. Rode, G. Rogers, L. Romero, M. Rossi, A. Rubbia, M. A. Sabia, G. M. Sabiu, P. Salomone, E. Sandford, S. Sanfilippo, D. Santone, R. Santorelli, C. Savarese, E. Scapparone, G. Schillaci, F. Schukman, G. Scioli, M. Simeone, P. Skensved, M. D. Skorokhvatov, O. Smirnov, T. Smirnova, B. Smith, F. Spadoni, M. Spangenberg, R. Stefanizzi, A. Steri, V. Stornelli, S. Stracka, M. Stringer, S. Sulis, A. Sung, Y. Suvorov, A. M. Szelc, R. Tartaglia, A. Taylor, J. Taylor, S. Tedesco, G. Testera, K. Thieme, T. N. Thorpe, A. Tonazzo, A. Tricomi, E. V. Unzhakov, T. Vallivilayil John, M. Van Uffelen, T. Viant, S. Viel, R. B. Vogelaar, J. Vossebeld, M. Wada, M. B. Walczak, H. Wang, Y. Wang, S. Westerdale, L. Williams, I. Wingerter-Seez, R. Wojaczyński, Ma. M. Wojcik, T. Wright, Y. Xie, C. Yang, A. Zabihi, P. Zakhary, A. Zani, A. Zichichi, G. Zuzel, M. P. Zykova, DarkSide-20k Collaboration
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 83, Iss 5, Pp 1-13 (2023)
Abstract The Aria cryogenic distillation plant, located in Sardinia, Italy, is a key component of the DarkSide-20k experimental program for WIMP dark matter searches at the INFN Laboratori Nazionali del Gran Sasso, Italy. Aria is designed to purify t
Externí odkaz:
https://doaj.org/article/9b1250617cec4d2a9ab7851ef92aaaa7
Autor:
Lee, Sung Yun, Cho, Do Hyung, Jung, Chulho, Sung, Daeho, Nam, Daewoong, Kim, Sangsoo, Song, Changyong
Machine learning is attracting surging interest across nearly all scientific areas by enabling the analysis of large datasets and the extraction of scientific information from incomplete data. Data-driven science is rapidly growing, especially in X-r
Externí odkaz:
http://arxiv.org/abs/2409.15784
Autor:
Jang, Doohyuk, Park, Sihwan, Yang, June Yong, Jung, Yeonsung, Yun, Jihun, Kundu, Souvik, Kim, Sung-Yub, Yang, Eunho
Auto-Regressive (AR) models have recently gained prominence in image generation, often matching or even surpassing the performance of diffusion models. However, one major limitation of AR models is their sequential nature, which processes tokens one
Externí odkaz:
http://arxiv.org/abs/2410.03355
Automated machine learning (AutoML) accelerates AI development by automating tasks in the development pipeline, such as optimal model search and hyperparameter tuning. Existing AutoML systems often require technical expertise to set up complex tools,
Externí odkaz:
http://arxiv.org/abs/2410.02958
Information Retrieval (IR) methods aim to identify relevant documents in response to a given query, which have gained remarkable attention due to their successful application in various natural language tasks. However, existing approaches typically c
Externí odkaz:
http://arxiv.org/abs/2410.02729
Autor:
Lee, Seanie, Seong, Haebin, Lee, Dong Bok, Kang, Minki, Chen, Xiaoyin, Wagner, Dominik, Bengio, Yoshua, Lee, Juho, Hwang, Sung Ju
Safety guard models that detect malicious queries aimed at large language models (LLMs) are essential for ensuring the secure and responsible deployment of LLMs in real-world applications. However, deploying existing safety guard models with billions
Externí odkaz:
http://arxiv.org/abs/2410.01524
The Ly$\alpha$ emission has emerged as a powerful tool for probing diffuse gas within the large-scale structure of the universe. In this paper, we investigate cosmic Ly$\alpha$ emission by post-processing cosmological simulations from \texttt{Illustr
Externí odkaz:
http://arxiv.org/abs/2410.00450
Autor:
Lee, Chanhui, Jeong, Dae-Woong, Ko, Sung Moon, Lee, Sumin, Kim, Hyunseung, Yim, Soorin, Han, Sehui, Kim, Sungwoong, Lim, Sungbin
Publikováno v:
ICML2024-AI4Science Poster
Molecules have a number of distinct properties whose importance and application vary. Often, in reality, labels for some properties are hard to achieve despite their practical importance. A common solution to such data scarcity is to use models of go
Externí odkaz:
http://arxiv.org/abs/2410.00432
Deep neural network architectures often consist of repetitive structural elements. We introduce a new approach that reveals these patterns and can be broadly applied to the study of deep learning. Similar to how a power strip helps untangle and organ
Externí odkaz:
http://arxiv.org/abs/2410.00396
Autor:
Oh, Yujin, Park, Sangjoon, Li, Xiang, Yi, Wang, Paly, Jonathan, Efstathiou, Jason, Chan, Annie, Kim, Jun Won, Byun, Hwa Kyung, Lee, Ik Jae, Cho, Jaeho, Wee, Chan Woo, Shu, Peng, Wang, Peilong, Yu, Nathan, Holmes, Jason, Ye, Jong Chul, Li, Quanzheng, Liu, Wei, Koom, Woong Sub, Kim, Jin Sung, Kim, Kyungsang
Clinical experts employ diverse philosophies and strategies in patient care, influenced by regional patient populations. However, existing medical artificial intelligence (AI) models are often trained on data distributions that disproportionately ref
Externí odkaz:
http://arxiv.org/abs/2410.00046