Zobrazeno 1 - 10
of 2 797
pro vyhledávání: '"Vanasse A"'
Autor:
Nguyen, Ha S., Vanasse, Jared
The Gamow-Teller and Fermi matrix elements, ${\left<\mathbf{GT}\right>}$ and ${\left<\mathbf{F}\right>}$, respectively, for tritium $\beta$-decay are calculated to next-to-leading order (NLO) in pionless effective field theory in the absence of Coulo
Externí odkaz:
http://arxiv.org/abs/2405.07889
Publikováno v:
Clinical Epidemiology, Vol Volume 12, Pp 1205-1222 (2020)
Hermine Lore Nguena Nguefack,1 M Gabrielle Pagé,2,3 Joel Katz,4 Manon Choinière,2,3 Alain Vanasse,5,6 Marc Dorais,7 Oumar Mallé Samb,1 Anaïs Lacasse1 1Département des Sciences de la santé, Université du Québec en Abitibi-Témiscamingue (UQAT)
Externí odkaz:
https://doaj.org/article/cf0b087d0f3f45f8be233bd7653c9620
Publikováno v:
International Journal of COPD, Vol Volume 14, Pp 331-341 (2019)
Qing Li,1 Pierre Larivée,2,3 Josiane Courteau,2 Simon Couillard,2,3 Thomas G Poder,2,4,5 Nathalie Carrier,2 Maryse Bélanger,2,3 Alain Vanasse2,5 1Center for Innovation Management Research of Xinjiang, School of Economics and Management, Xinjiang Un
Externí odkaz:
https://doaj.org/article/bd9642a9b1d44d55af497096fdf89a99
Publikováno v:
International Journal of COPD, Vol Volume 13, Pp 3065-3076 (2018)
Thomas G Poder1–3 Nathalie Carrier,1 Maryse Bélanger,1,4 Simon Couillard,1,4 Josiane Courteau,1 Pierre Larivée,1,4 Alain Vanasse1,3 1Research Center, Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada; 2Health Technology Asses
Externí odkaz:
https://doaj.org/article/8e2b6fb06ff144f4afb05797374f9839
Autor:
Bélanger M, Couillard S, Courteau J, Larivée P, Poder TG, Carrier N, Girard K, Vézina FA, Vanasse A
Publikováno v:
International Journal of COPD, Vol Volume 13, Pp 3045-3054 (2018)
Maryse Bélanger,1,2 Simon Couillard,1,2 Josiane Courteau,1 Pierre Larivée,1,2 Thomas G Poder,1,3,4 Nathalie Carrier,1 Kim Girard,1 Felix-Antoine Vézina,1,2 Alain Vanasse1,4 1Research Center, Centre hospitalier universitaire de Sherbrooke, Sherbroo
Externí odkaz:
https://doaj.org/article/28fbf9531be840ce951943517809f4a7
Autor:
Martinkus, Karolis, Ludwiczak, Jan, Cho, Kyunghyun, Liang, Wei-Ching, Lafrance-Vanasse, Julien, Hotzel, Isidro, Rajpal, Arvind, Wu, Yan, Bonneau, Richard, Gligorijevic, Vladimir, Loukas, Andreas
We introduce AbDiffuser, an equivariant and physics-informed diffusion model for the joint generation of antibody 3D structures and sequences. AbDiffuser is built on top of a new representation of protein structure, relies on a novel architecture for
Externí odkaz:
http://arxiv.org/abs/2308.05027
Autor:
Frey, Nathan C., Berenberg, Daniel, Zadorozhny, Karina, Kleinhenz, Joseph, Lafrance-Vanasse, Julien, Hotzel, Isidro, Wu, Yan, Ra, Stephen, Bonneau, Richard, Cho, Kyunghyun, Loukas, Andreas, Gligorijevic, Vladimir, Saremi, Saeed
We resolve difficulties in training and sampling from a discrete generative model by learning a smoothed energy function, sampling from the smoothed data manifold with Langevin Markov chain Monte Carlo (MCMC), and projecting back to the true data man
Externí odkaz:
http://arxiv.org/abs/2306.12360
Autor:
Gruver, Nate, Stanton, Samuel, Frey, Nathan C., Rudner, Tim G. J., Hotzel, Isidro, Lafrance-Vanasse, Julien, Rajpal, Arvind, Cho, Kyunghyun, Wilson, Andrew Gordon
Publikováno v:
Advances in Neural Information Processing Systems 36, December 10-16, 2023
A popular approach to protein design is to combine a generative model with a discriminative model for conditional sampling. The generative model samples plausible sequences while the discriminative model guides a search for sequences with high fitnes
Externí odkaz:
http://arxiv.org/abs/2305.20009
Publikováno v:
Phys. Rev. C 108, 044001 (2023)
We calculate the cold neutron-deuteron ($nd$) capture cross section, $\sigma_{nd}$, to next-to-next-to leading order (NNLO) using the model-independent approach of pionless effective field theory (EFT($\pi\!\!\!/$)). At leading order we find $\sigma_
Externí odkaz:
http://arxiv.org/abs/2210.15650
A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences
Autor:
Tagasovska, Nataša, Frey, Nathan C., Loukas, Andreas, Hötzel, Isidro, Lafrance-Vanasse, Julien, Kelly, Ryan Lewis, Wu, Yan, Rajpal, Arvind, Bonneau, Richard, Cho, Kyunghyun, Ra, Stephen, Gligorijević, Vladimir
Deep generative models have emerged as a popular machine learning-based approach for inverse design problems in the life sciences. However, these problems often require sampling new designs that satisfy multiple properties of interest in addition to
Externí odkaz:
http://arxiv.org/abs/2210.10838