Zobrazeno 1 - 10
of 2 252
pro vyhledávání: '"Chételat A"'
Large Language Models (LLMs) have exhibited an impressive capability to perform reasoning tasks, especially if they are encouraged to generate a sequence of intermediate steps. Reasoning performance can be improved by suitably combining multiple LLM
Externí odkaz:
http://arxiv.org/abs/2412.13292
Autor:
Moravej, Reza, Bodhe, Saurabh, Zhang, Zhanguang, Chetelat, Didier, Tsaras, Dimitrios, Zhang, Yingxue, Zhen, Hui-Ling, Hao, Jianye, Yuan, Mingxuan
Logic synthesis is a crucial phase in the circuit design process, responsible for transforming hardware description language (HDL) designs into optimized netlists. However, traditional logic synthesis methods are computationally intensive, restrictin
Externí odkaz:
http://arxiv.org/abs/2411.00843
Autor:
Zhang, Zhanguang, Chetelat, Didier, Cotnareanu, Joseph, Ghose, Amur, Xiao, Wenyi, Zhen, Hui-Ling, Zhang, Yingxue, Hao, Jianye, Coates, Mark, Yuan, Mingxuan
Boolean satisfiability (SAT) problems are routinely solved by SAT solvers in real-life applications, yet solving time can vary drastically between solvers for the same instance. This has motivated research into machine learning models that can predic
Externí odkaz:
http://arxiv.org/abs/2405.11024
Recently, machine learning, particularly message-passing graph neural networks (MPNNs), has gained traction in enhancing exact optimization algorithms. For example, MPNNs speed up solving mixed-integer optimization problems by imitating computational
Externí odkaz:
http://arxiv.org/abs/2310.10603
Autor:
Sacha Haudry, Anne-Laure Turpin, Brigitte Landeau, Florence Mézenge, Marion Delarue, Oriane Hébert, Natalie L Marchant, Olga Klimecki, Fabienne Collette, Julie Gonneaud, Vincent de La Sayette, Denis Vivien, Antoine Lutz, Gaël Chételat, The MEDIT-AGEING Research Group
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Meditation is a mental training approach that can improve mental health and well-being in aging. Yet the underlying mechanisms remain unknown. The Medit-Ageing model stipulates that three mechanisms — attentional, constructive, and deconst
Externí odkaz:
https://doaj.org/article/24382ea5317c4c96b0bf9535b89043f7
Autor:
Antoine Garnier-Crussard, Julie Gonneaud, Francesca Felisatti, Cassandre Palix, Eglantine Ferrand Devouge, Anne Chocat, Géraldine Rauchs, Vincent de la Sayette, Denis Vivien, Harriet Demnitz-King, Antoine Lutz, Gaël Chételat, Géraldine Poisnel, the Medit-Ageing Research Group
Publikováno v:
BMC Geriatrics, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Cardiovascular risk factors represent an important health issue in older adults. Previous findings suggest that meditation training could have a positive impact on these risk factors. The objective of this study was to investigate
Externí odkaz:
https://doaj.org/article/bb479e06834d4bbabf1c19fbb871852f
Autor:
Marco Schlosser, Julie Gonneaud, Stefano Poletti, Romain Bouet, Olga M. Klimecki, Fabienne Collette, Natalie L. Marchant, Gaël Chételat, Antoine Lutz, for the Medit-Ageing Research Group
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Understanding the factors that predict why some individuals perceive to respond more to meditation training than others could impact the development, efficacy, adherence levels, and implementation of meditation-based interventions. We invest
Externí odkaz:
https://doaj.org/article/aed6b7ebdfe74c44a72e3a57172448e9
Branch-and-bound approaches in integer programming require ordering portions of the space to explore next, a problem known as node comparison. We propose a new siamese graph neural network model to tackle this problem, where the nodes are represented
Externí odkaz:
http://arxiv.org/abs/2210.16934
Autor:
Mario Tranfa, Luigi Lorenzini, Lyduine E. Collij, David Vállez García, Silvia Ingala, Giuseppe Pontillo, Leonard Pieperhoff, Alessio Maranzano, Robin Wolz, Sven Haller, Kaj Blennow, Giovanni Frisoni, Carole H. Sudre, Gael Chételat, Michael Ewers, Pierre Payoux, Adam Waldman, Pablo Martinez‐Lage, Adam J. Schwarz, Craig W. Ritchie, Joanna M. Wardlaw, Juan Domingo Gispert, Arturo Brunetti, Henk J. M. M. Mutsaerts, Alle Meije Wink, Frederik Barkhof
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 11, Iss 6, Pp 1541-1556 (2024)
Abstract Objective Alzheimer's disease (AD) and cerebral small vessel disease (cSVD), the two most common causes of dementia, are characterized by white matter (WM) alterations diverging from the physiological changes occurring in healthy aging. Diff
Externí odkaz:
https://doaj.org/article/e26e34b52bc34c948ba296d241f25394
Autor:
Christine McClelland, John Chételat, Kathleen Conlan, Alec Aitken, Mark R. Forbes, Andrew Majewski
Publikováno v:
Arctic Science, Vol 10, Iss 2, Pp 305-320 (2024)
This study investigated methylmercury (MeHg) concentrations in Arctic benthic invertebrates from two shelf sites in the Canadian Beaufort Sea. Carbon, nitrogen, and sulfur stable isotopes and fatty acids were measured to examine diet influences on Me
Externí odkaz:
https://doaj.org/article/b907a2e6cefa4b4fade8160c48dc9eb2