Zobrazeno 1 - 10
of 1 823
pro vyhledávání: '"Murray, Iain A ."'
Autor:
Yuan Tian1,2, Rimal, Bipin1, Bisanz, Jordan E.3,4, Wei Gui2, Wolfe, Trenton M.5, Imhoi Koo1, Murray, Iain A.1, Nettleford, Shaneice K.1, Shigetoshi Yokoyama1, Fangcong Dong1, Sergei Koshkin2, Prabhu, K. Sandeep1, Turnbaugh, Peter J.4,6, Walk, Seth T.5, Perdew, Gary H.1, Patterson, Andrew D.1 adp117@psu.edu
Publikováno v:
Environmental Health Perspectives. Aug2024, Vol. 132 Issue 8, p087005-1-087005-14. 14p.
Autor:
Paun, L. Mihaela a, ⁎, Colebank, Mitchel J. b, Taylor-LaPole, Alyssa c, Olufsen, Mette S. c, Ryan, William a, Murray, Iain d, Salter, James M. e, Applebaum, Victor e, Dunne, Michael e, Hollins, Jake f, Kimpton, Louise e, Volodina, Victoria e, Xiong, Xiaoyu e, Husmeier, Dirk a
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 October 2024 430
Autor:
Aman, Zachary S. a, ⁎, Champagne, Allen A. a, Hurley, Eoghan T. a, Danilkowicz, Richard M. a, b, Ciccotti, Michael G. c, Hirschmann, Michael T. d, Figueroa, Francisco e, Jones, Kristofer J. f, Murray, Iain R. g, Shannon, Fintan J. h, Jazrawi, Laith M. i
Publikováno v:
In Journal of Cartilage & Joint Preservation September 2024 4(3) Supplement
Autor:
Rankin, Conor S. a, ⁎, Coleman, Simon b, Murray, Iain R. c, Robinson, Patrick G. c, Clement, Nick D. c
Publikováno v:
In Journal of ISAKOS June 2024 9(3):341-347
Autor:
Townsend, James, Murray, Iain
We generalize the 'bits back with ANS' method to time-series models with a latent Markov structure. This family of models includes hidden Markov models (HMMs), linear Gaussian state space models (LGSSMs) and many more. We provide experimental evidenc
Externí odkaz:
http://arxiv.org/abs/2103.10150
Autor:
Ahuja, Mukesh m, Anz, Adam W. o, p, q, Chahla, Jorge m, Chu, Constance R. k, Cugat, Ramon q, Espregueira-Mendes, João n, Farr, Jack r, Flanigan, David C. s, Gobbi, Alberto t, Gomoll, Andreas H. l, Grande, Daniel A. u, Hall, Mederic M. v, Horsch, Kay w, Koh, Jason L. x, Kon, Elizaveta y, Lattermann, Christian z, McIntyre, Louis F. aa, Murray, Iain R. bb, Muschler, George F. cc, Nakamura, Norimasa dd, ee, ff, Namdari, Surena dd, ee, ff, gg, Piuzzi, Nicolas S. cc, Saris, Daniel B.F. hh, Sgaglione, Nicholas A. ii, Spindler, Kurt P. jj, Tokish, John M. kk, Yanke, Adam B. m, Hurley, Eoghan T. a, ∗, Sherman, Seth L. b, Stokes, Daniel J. c, Rodeo, Scott A. d, Shapiro, Shane A. e, Mautner, Kenneth f, Buford, Don A. g, Dragoo, Jason L. c, Mandelbaum, Bert R. h, i, Zaslav, Kenneth R. j, Cole, Brian J. k, Frank, Rachel M. c
Publikováno v:
In Arthroscopy: The Journal of Arthroscopic and Related Surgery February 2024 40(2):470-477
Score-based diffusion models synthesize samples by reversing a stochastic process that diffuses data to noise, and are trained by minimizing a weighted combination of score matching losses. The log-likelihood of score-based diffusion models can be tr
Externí odkaz:
http://arxiv.org/abs/2101.09258
Autor:
Stickland, Asa Cooper, Murray, Iain
Modern deep neural networks can produce badly calibrated predictions, especially when train and test distributions are mismatched. Training an ensemble of models and averaging their predictions can help alleviate these issues. We propose a simple tec
Externí odkaz:
http://arxiv.org/abs/2007.04206
Density deconvolution is the task of estimating a probability density function given only noise-corrupted samples. We can fit a Gaussian mixture model to the underlying density by maximum likelihood if the noise is normally distributed, but would lik
Externí odkaz:
http://arxiv.org/abs/2006.09396
Autor:
Bekasov, Artur, Murray, Iain
The latent space of normalizing flows must be of the same dimensionality as their output space. This constraint presents a problem if we want to learn low-dimensional, semantically meaningful representations. Recent work has provided compact represen
Externí odkaz:
http://arxiv.org/abs/2006.08777