Zobrazeno 1 - 10
of 4 920
pro vyhledávání: '"Dehaene A"'
Human readers can accurately count how many letters are in a word (e.g., 7 in ``buffalo''), remove a letter from a given position (e.g., ``bufflo'') or add a new one. The human brain of readers must have therefore learned to disentangle information r
Externí odkaz:
http://arxiv.org/abs/2412.10446
Autor:
Decruyenaere, Alexander, Dehaene, Heidelinde, Rabaey, Paloma, Polet, Christiaan, Decruyenaere, Johan, Demeester, Thomas, Vansteelandt, Stijn
While synthetic data hold great promise for privacy protection, their statistical analysis poses significant challenges that necessitate innovative solutions. The use of deep generative models (DGMs) for synthetic data generation is known to induce c
Externí odkaz:
http://arxiv.org/abs/2411.04216
Autor:
Shi, Man, Colleman, Steven, VanDeMieroop, Charlotte, Joseph, Antony, Meijer, Maurice, Dehaene, Wim, Verhelst, Marian
Publikováno v:
2023 24th International Symposium on Quality Electronic Design (ISQED)
Deep neural networks (DNN) use a wide range of network topologies to achieve high accuracy within diverse applications. This model diversity makes it impossible to identify a single "dataflow" (execution schedule) to perform optimally across all poss
Externí odkaz:
http://arxiv.org/abs/2406.14574
Autor:
Agrawal, Aakash, Dehaene, Stanislas
Learning to read places a strong challenge on the visual system. Years of expertise lead to a remarkable capacity to separate highly similar letters and encode their relative positions, thus distinguishing words such as FORM and FROM, invariantly ove
Externí odkaz:
http://arxiv.org/abs/2403.06159
Autor:
Lozhkov, Anton, Li, Raymond, Allal, Loubna Ben, Cassano, Federico, Lamy-Poirier, Joel, Tazi, Nouamane, Tang, Ao, Pykhtar, Dmytro, Liu, Jiawei, Wei, Yuxiang, Liu, Tianyang, Tian, Max, Kocetkov, Denis, Zucker, Arthur, Belkada, Younes, Wang, Zijian, Liu, Qian, Abulkhanov, Dmitry, Paul, Indraneil, Li, Zhuang, Li, Wen-Ding, Risdal, Megan, Li, Jia, Zhu, Jian, Zhuo, Terry Yue, Zheltonozhskii, Evgenii, Dade, Nii Osae Osae, Yu, Wenhao, Krauß, Lucas, Jain, Naman, Su, Yixuan, He, Xuanli, Dey, Manan, Abati, Edoardo, Chai, Yekun, Muennighoff, Niklas, Tang, Xiangru, Oblokulov, Muhtasham, Akiki, Christopher, Marone, Marc, Mou, Chenghao, Mishra, Mayank, Gu, Alex, Hui, Binyuan, Dao, Tri, Zebaze, Armel, Dehaene, Olivier, Patry, Nicolas, Xu, Canwen, McAuley, Julian, Hu, Han, Scholak, Torsten, Paquet, Sebastien, Robinson, Jennifer, Anderson, Carolyn Jane, Chapados, Nicolas, Patwary, Mostofa, Tajbakhsh, Nima, Jernite, Yacine, Ferrandis, Carlos Muñoz, Zhang, Lingming, Hughes, Sean, Wolf, Thomas, Guha, Arjun, von Werra, Leandro, de Vries, Harm
The BigCode project, an open-scientific collaboration focused on the responsible development of Large Language Models for Code (Code LLMs), introduces StarCoder2. In partnership with Software Heritage (SWH), we build The Stack v2 on top of the digita
Externí odkaz:
http://arxiv.org/abs/2402.19173
Autor:
Decruyenaere, Alexander, Dehaene, Heidelinde, Rabaey, Paloma, Polet, Christiaan, Decruyenaere, Johan, Vansteelandt, Stijn, Demeester, Thomas
Recent advances in generative models facilitate the creation of synthetic data to be made available for research in privacy-sensitive contexts. However, the analysis of synthetic data raises a unique set of methodological challenges. In this work, we
Externí odkaz:
http://arxiv.org/abs/2312.07837
Autor:
Li, Raymond, Allal, Loubna Ben, Zi, Yangtian, Muennighoff, Niklas, Kocetkov, Denis, Mou, Chenghao, Marone, Marc, Akiki, Christopher, Li, Jia, Chim, Jenny, Liu, Qian, Zheltonozhskii, Evgenii, Zhuo, Terry Yue, Wang, Thomas, Dehaene, Olivier, Davaadorj, Mishig, Lamy-Poirier, Joel, Monteiro, João, Shliazhko, Oleh, Gontier, Nicolas, Meade, Nicholas, Zebaze, Armel, Yee, Ming-Ho, Umapathi, Logesh Kumar, Zhu, Jian, Lipkin, Benjamin, Oblokulov, Muhtasham, Wang, Zhiruo, Murthy, Rudra, Stillerman, Jason, Patel, Siva Sankalp, Abulkhanov, Dmitry, Zocca, Marco, Dey, Manan, Zhang, Zhihan, Fahmy, Nour, Bhattacharyya, Urvashi, Yu, Wenhao, Singh, Swayam, Luccioni, Sasha, Villegas, Paulo, Kunakov, Maxim, Zhdanov, Fedor, Romero, Manuel, Lee, Tony, Timor, Nadav, Ding, Jennifer, Schlesinger, Claire, Schoelkopf, Hailey, Ebert, Jan, Dao, Tri, Mishra, Mayank, Gu, Alex, Robinson, Jennifer, Anderson, Carolyn Jane, Dolan-Gavitt, Brendan, Contractor, Danish, Reddy, Siva, Fried, Daniel, Bahdanau, Dzmitry, Jernite, Yacine, Ferrandis, Carlos Muñoz, Hughes, Sean, Wolf, Thomas, Guha, Arjun, von Werra, Leandro, de Vries, Harm
The BigCode community, an open-scientific collaboration working on the responsible development of Large Language Models for Code (Code LLMs), introduces StarCoder and StarCoderBase: 15.5B parameter models with 8K context length, infilling capabilitie
Externí odkaz:
http://arxiv.org/abs/2305.06161
Autor:
Katrien Nulens, Els Papy, Katrien Tartaglia, Isabelle Dehaene, Hilde Logghe, Joachim Van Keirsbilck, Frédéric Chantraine, Veronique Masson, Eva Simoens, Willem Gysemans, Liesbeth Bruckers, Sarah Lebeer, Camille Nina Allonsius, Eline Oerlemans, Deborah Steensels, Marijke Reynders, Dirk Timmerman, Roland Devlieger, Caroline Van Holsbeke
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Background Prematurity remains one of the main causes of neonatal morbidity and mortality. Approximately two thirds of preterm births are spontaneous, i.e. secondary to preterm labour, preterm prelabour rupture of membranes (PPROM) or cervic
Externí odkaz:
https://doaj.org/article/381e3d3e676a4bd49185908cceb41748
Autor:
An Mariman, Ignace Hanoulle, Dirk Pevernagie, Sarah-Jane Maertens, Isabelle Dehaene, Els Tobback, Liesbeth Delesie, Anne Loccufier, Ann Van Holsbeeck, Lara Moons, Dirk Vogelaers
Publikováno v:
BMC Pregnancy and Childbirth, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Poor subjective sleep quality, depressive symptoms and fatigue occur frequently in postpartum. However, the dynamics of their respective associations from prepartum throughout the maternity period in function of baby feeding metho
Externí odkaz:
https://doaj.org/article/94a92d7a61f44857828e9270322b59b2
Autor:
Sara Jamali, Sophie Bagur, Enora Bremont, Timo Van Kerkoerle, Stanislas Dehaene, Brice Bathellier
Publikováno v:
eLife, Vol 13 (2024)
The brain predicts regularities in sensory inputs at multiple complexity levels, with neuronal mechanisms that remain elusive. Here, we monitored auditory cortex activity during the local-global paradigm, a protocol nesting different regularity level
Externí odkaz:
https://doaj.org/article/44a26f48b8aa43a886ce1bde2db5e4a5