Babak Shahbaba
Babak Shahbaba
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Cited by
Cited by
Maternal cortisol over the course of pregnancy and subsequent child amygdala and hippocampus volumes and affective problems
C Buss, EP Davis, B Shahbaba, JC Pruessner, K Head, CA Sandman
Proceedings of the National Academy of Sciences 109 (20), E1312-E1319, 2012
Maternal psychosocial stress during pregnancy is associated with newborn leukocyte telomere length
S Entringer, ES Epel, J Lin, C Buss, B Shahbaba, EH Blackburn, ...
American journal of obstetrics and gynecology 208 (2), 134. e1-134. e7, 2013
Nonlinear models using Dirichlet process mixtures.
B Shahbaba, R Neal
Journal of Machine Learning Research 10 (8), 2009
Neural function, injury, and stroke subtype predict treatment gains after stroke
E Burke Quinlan, L Dodakian, J See, A McKenzie, V Le, M Wojnowicz, ...
Annals of neurology 77 (1), 132-145, 2015
Maternal exposure to childhood trauma is associated during pregnancy with placental-fetal stress physiology
NK Moog, C Buss, S Entringer, B Shahbaba, DL Gillen, CJ Hobel, ...
Biological psychiatry 79 (10), 831-839, 2016
Distributed stochastic gradient MCMC
S Ahn, B Shahbaba, M Welling
International conference on machine learning, 1044-1052, 2014
Genetic variation in the human brain dopamine system influences motor learning and its modulation by L-Dopa
KM Pearson-Fuhrhop, B Minton, D Acevedo, B Shahbaba, SC Cramer
PloS one 8 (4), e61197, 2013
What time is it? Deep learning approaches for circadian rhythms
F Agostinelli, N Ceglia, B Shahbaba, P Sassone-Corsi, P Baldi
Bioinformatics 32 (12), i8-i17, 2016
Split hamiltonian monte carlo
B Shahbaba, S Lan, WO Johnson, RM Neal
Statistics and Computing 24, 339-349, 2014
Wormhole hamiltonian monte carlo
S Lan, J Streets, B Shahbaba
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
Spherical Hamiltonian Monte Carlo for constrained target distributions
S Lan, B Zhou, B Shahbaba
International Conference on Machine Learning, 629-637, 2014
A pluripotency signature predicts histologic transformation and influences survival in follicular lymphoma patients
AJ Gentles, AA Alizadeh, SI Lee, JH Myklebust, CM Shachaf, B Shahbaba, ...
Blood, The Journal of the American Society of Hematology 114 (15), 3158-3166, 2009
Maternal folate concentration in early pregnancy and newborn telomere length
S Entringer, ES Epel, J Lin, EH Blackburn, C Buss, B Shahbaba, DL Gillen, ...
Annals of Nutrition and Metabolism 66 (4), 202-208, 2015
Markov chain monte carlo from lagrangian dynamics
S Lan, V Stathopoulos, B Shahbaba, M Girolami
Journal of Computational and Graphical Statistics 24 (2), 357-378, 2015
Improving classification when a class hierarchy is available using a hierarchy-based prior
RM Neal, B Shahbaba
Electroencephalography might improve diagnosis of acute stroke and large vessel occlusion
F Erani, N Zolotova, B Vanderschelden, N Khoshab, H Sarian, L Nazarzai, ...
Stroke 51 (11), 3361-3365, 2020
Evolutionary state-space model and its application to time-frequency analysis of local field potentials
X Gao, W Shen, B Shahbaba, NJ Fortin, H Ombao
Statistica Sinica 30 (3), 1561, 2020
Projecting nuisance flooding in a warming climate using generalized linear models and Gaussian processes
A Vandenberg‐Rodes, HR Moftakhari, A AghaKouchak, B Shahbaba, ...
Journal of Geophysical Research: Oceans 121 (11), 8008-8020, 2016
An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamics
S Lan, JA Palacios, M Karcher, VN Minin, B Shahbaba
Bioinformatics 31 (20), 3282-3289, 2015
Hamiltonian Monte Carlo acceleration using surrogate functions with random bases
C Zhang, B Shahbaba, H Zhao
Statistics and computing 27, 1473-1490, 2017
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