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Seth Flaxman

Showing results (1-10 of 81) with videos related to

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Archives of Disease in Childhood|March 31, 2021
Implications of a highly transmissible variant of SARS-CoV-2 for childrenOliver Ratmann, Samir Bhatt, Seth Flaxman
Spatial Statistics|April 23, 2019
Spatial mapping with Gaussian processes and nonstationary Fourier featuresJean-Francois Ton, Seth Flaxman, Dino Sejdinovic, et al.
Remote Sensing of Environment|May 4, 2021
Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areasEsra Suel, Samir Bhatt, Michael Brauer, et al.
JAMA Pediatrics|April 28, 2025
Trends in Maternal, Fetal, and Infant Mortality in the US, 2000-2023Robin Y Park, Alyssa Bilinski, Robbie M Parks, et al.
Science Advances|December 7, 2019
Detecting and quantifying causal associations in large nonlinear time series datasetsJakob Runge, Peer Nowack, Marlene Kretschmer, et al.
Plos One|August 14, 2023
Application of referenced thermodynamic integration to Bayesian model selectionIwona Hawryluk, Swapnil Mishra, Seth Flaxman, et al.
Royal Society Open Science|May 21, 2020
Modelling and forecasting art movements with CGANsEdoardo Lisi, Mohammad Malekzadeh, Hamed Haddadi, et al.
Lancet (London, England)|August 20, 2023
Reauthorise PEPFAR to prevent death, orphanhood, and suffering for millions of childrenLucie Cluver, Jeffrey W Imai-Eaton, Lorraine Sherr, et al.
Statistics and Computing|October 24, 2022
<math><mi>π</mi></math> VAE: a stochastic process prior for Bayesian deep learning with MCMCSwapnil Mishra, Seth Flaxman, Tresnia Berah, et al.
Nature|December 28, 2020
Reply to: The effect of interventions on COVID-19Seth Flaxman, Swapnil Mishra, James Scott, et al.
Pageof 9

Showing results (1-10 of 81) with videos related to

Sort By:
Pageof 9
Archives of Disease in Childhood|March 31, 2021
Implications of a highly transmissible variant of SARS-CoV-2 for childrenOliver Ratmann, Samir Bhatt, Seth Flaxman
Spatial Statistics|April 23, 2019
Spatial mapping with Gaussian processes and nonstationary Fourier featuresJean-Francois Ton, Seth Flaxman, Dino Sejdinovic, et al.
Remote Sensing of Environment|May 4, 2021
Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areasEsra Suel, Samir Bhatt, Michael Brauer, et al.
JAMA Pediatrics|April 28, 2025
Trends in Maternal, Fetal, and Infant Mortality in the US, 2000-2023Robin Y Park, Alyssa Bilinski, Robbie M Parks, et al.
Science Advances|December 7, 2019
Detecting and quantifying causal associations in large nonlinear time series datasetsJakob Runge, Peer Nowack, Marlene Kretschmer, et al.
Plos One|August 14, 2023
Application of referenced thermodynamic integration to Bayesian model selectionIwona Hawryluk, Swapnil Mishra, Seth Flaxman, et al.
Royal Society Open Science|May 21, 2020
Modelling and forecasting art movements with CGANsEdoardo Lisi, Mohammad Malekzadeh, Hamed Haddadi, et al.
Lancet (London, England)|August 20, 2023
Reauthorise PEPFAR to prevent death, orphanhood, and suffering for millions of childrenLucie Cluver, Jeffrey W Imai-Eaton, Lorraine Sherr, et al.
Statistics and Computing|October 24, 2022
<math><mi>π</mi></math> VAE: a stochastic process prior for Bayesian deep learning with MCMCSwapnil Mishra, Seth Flaxman, Tresnia Berah, et al.
Nature|December 28, 2020
Reply to: The effect of interventions on COVID-19Seth Flaxman, Swapnil Mishra, James Scott, et al.
Pageof 9