Seth Flaxman

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 16

Top Topics

Gaussian Process

Top Venues

Publications

Swapnil Mishra, Seth Flaxman, Tresnia Berah, Harrison Zhu, Mikko Pakkanen, Samir Bhatt
πVAE: a stochastic process prior for Bayesian deep learning with MCMC. Stat. Comput. 32 (6) (2022)
Xenia Miscouridou, Samir Bhatt, George Mohler, Seth Flaxman, Swapnil Mishra
Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes. CoRR (2022)
Alexander Terenin, David R. Burt, Artem Artemev, Seth Flaxman, Mark van der Wilk, Carl Edward Rasmussen, Hong Ge
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees. CoRR (2022)
Emily Muller, Emily Gemmell, Ishmam Choudhury, Ricky Nathvani, Antje Barbara Metzler, James Bennett, Emily Denton, Seth Flaxman, Majid Ezzati
City-Wide Perceptions of Neighbourhood Quality using Street View Images. CoRR (2022)
Giovanni Charles, Timothy M. Wolock, Peter Winskill, Azra C. Ghani, Samir Bhatt, Seth Flaxman
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference. CoRR (2022)
Elizaveta Semenova, Yidan Xu, Adam Howes, Theo Rashid, Samir Bhatt, Swapnil Mishra, Seth Flaxman
Encoding spatiotemporal priors with VAEs for small-area estimation. CoRR (2021)
Valerie C. Bradley, Shiro Kuriwaki, Michael Isakov, Dino Sejdinovic, Xiao-Li Meng, Seth Flaxman
Unrepresentative big surveys significantly overestimated US vaccine uptake. Nat. 600 (7890) (2021)
Sílvia Casacuberta, Esra Suel, Seth Flaxman
PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability. CoRR (2021)
H. Juliette T. Unwin, Isobel Routledge, Seth Flaxman, Marian-Andrei Rizoiu, Shengjie Lai, Justin Cohen, Daniel J. Weiss, Swapnil Mishra, Samir Bhatt
Using Hawkes Processes to model imported and local malaria cases in near-elimination settings. PLoS Comput. Biol. 17 (4) (2021)
Iwona Hawryluk, Henrique Hoeltgebaum, Swapnil Mishra, Xenia Miscouridou, Ricardo P. Schnekenberg, Charles Whittaker, Michaela A. C. Vollmer, Seth Flaxman, Samir Bhatt, Thomas A. Mellan
Gaussian process nowcasting: application to COVID-19 mortality reporting. UAI (2021)
Harrison Zhu, Xing Liu, Ruya Kang, Zhichao Shen, Seth Flaxman, François-Xavier Briol
Bayesian Probabilistic Numerical Integration with Tree-Based Models. CoRR (2020)
Harrison Zhu, Xing Liu, Ruya Kang, Zhichao Shen, Seth Flaxman, François-Xavier Briol
Bayesian Probabilistic Numerical Integration with Tree-Based Models. NeurIPS (2020)
Michaela A. C. Vollmer, Ben Glampson, Thomas A. Mellan, Swapnil Mishra, Luca Mercuri, Ceire Costelloe, Robert Klaber, Graham S. Cooke, Seth Flaxman, Samir Bhatt
A unified machine learning approach to time series forecasting applied to demand at emergency departments. CoRR (2020)
Miguel A. Boland, Edward A. K. Cohen, Seth Flaxman, Mark A. A. Neil
Improving axial resolution in SIM using deep learning. CoRR (2020)
Swapnil Mishra, Seth Flaxman, Samir Bhatt
πVAE: Encoding stochastic process priors with variational autoencoders. CoRR (2020)
Edoardo Lisi, Mohammad Malekzadeh, Hamed Haddadi, F. Din-Houn Lau, Seth Flaxman
Modeling and Forecasting Art Movements with CGANs. CoRR (2019)