Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSeth R. Flaxman
Person information
- affiliation: Imperial College London, Department of Mathematics, UK
- affiliation: University of Oxford, Department of Statistics, UK
- affiliation: Carnegie Mellon University, Machine Learning Department, Pittsburgh, PA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2023
[j8]Stamatina Lamprinakou
, Mauricio Barahona, Seth R. Flaxman, Sarah Filippi, Axel Gandy, Emma J. McCoy:
BART-based inference for Poisson processes. Comput. Stat. Data Anal. 180: 107658 (2023)- 2022
- [j7]Qinyi Zhang, Veit Wild, Sarah Filippi, Seth R. Flaxman, Dino Sejdinovic:
Bayesian Kernel Two-Sample Testing. J. Comput. Graph. Stat. 31(4): 1164-1176 (2022) - [j6]Swapnil Mishra, Seth R. Flaxman, Tresnia Berah, Harrison Zhu, Mikko Pakkanen, Samir Bhatt:
πVAE: a stochastic process prior for Bayesian deep learning with MCMC. Stat. Comput. 32(6): 96 (2022) - 2021
- [j5]Valerie C. Bradley, Shiro Kuriwaki, Michael Isakov, Dino Sejdinovic, Xiao-Li Meng, Seth R. Flaxman:
Unrepresentative big surveys significantly overestimated US vaccine uptake. Nat. 600(7890): 695-700 (2021) - [j4]H. Juliette T. Unwin, Isobel Routledge, Seth R. 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) - [j3]Andrew J. Holbrook, Charles E. Loeffler, Seth R. Flaxman, Marc A. Suchard:
Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data. Stat. Comput. 31(1): 4 (2021) - 2017
- [j2]Bryce Goodman, Seth R. Flaxman:
European Union Regulations on Algorithmic Decision-Making and a "Right to Explanation". AI Mag. 38(3): 50-57 (2017) - 2016
- [j1]Seth R. Flaxman, Daniel B. Neill, Alexander J. Smola:
Gaussian Processes for Independence Tests with Non-iid Data in Causal Inference. ACM Trans. Intell. Syst. Technol. 7(2): 22:1-22:23 (2016)
Conference and Workshop Papers
- 2024
- [c15]Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, Seth R. Flaxman, H. Juliette T. Unwin:
Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya. Epi UAI 2024: 13-27 - 2023
- [c14]Giovanni Charles, Timothy M. Wolock, Peter Winskill, Azra C. Ghani, Samir Bhatt, Seth R. Flaxman:
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference. AAAI 2023: 14170-14177 - 2021
- [c13]Iwona Hawryluk, Henrique Hoeltgebaum, Swapnil Mishra, Xenia Miscouridou, Ricardo P. Schnekenberg, Charles Whittaker, Michaela A. C. Vollmer, Seth R. Flaxman, Samir Bhatt, Thomas A. Mellan:
Gaussian process nowcasting: application to COVID-19 mortality reporting. UAI 2021: 1258-1268 - 2020
- [c12]Harrison Zhu, Xing Liu, Ruya Kang, Zhichao Shen, Seth R. Flaxman, François-Xavier Briol:
Bayesian Probabilistic Numerical Integration with Tree-Based Models. NeurIPS 2020 - 2018
- [c11]Gabriele Abbati, Alessandra Tosi, Michael A. Osborne, Seth R. Flaxman:
AdaGeo: Adaptive Geometric Learning for Optimization and Sampling. AISTATS 2018: 226-234 - [c10]Ho Chung Leon Law, Danica J. Sutherland, Dino Sejdinovic, Seth R. Flaxman:
Bayesian Approaches to Distribution Regression. AISTATS 2018: 1167-1176 - [c9]Anthony Hu, Seth R. Flaxman:
Multimodal Sentiment Analysis To Explore the Structure of Emotions. KDD 2018: 350-358 - [c8]Ho Chung Leon Law, Dino Sejdinovic, Ewan Cameron, Tim C. D. Lucas, Seth R. Flaxman, Katherine Battle, Kenji Fukumizu:
Variational Learning on Aggregate Outputs with Gaussian Processes. NeurIPS 2018: 6084-6094 - 2017
- [c7]Seth R. Flaxman, Yee Whye Teh, Dino Sejdinovic:
Poisson intensity estimation with reproducing kernels. AISTATS 2017: 270-279 - [c6]Qinyi Zhang, Sarah Filippi, Seth R. Flaxman, Dino Sejdinovic:
Feature-to-Feature Regression for a Two-Step Conditional Independence Test. UAI 2017 - 2016
- [c5]William Herlands, Andrew Gordon Wilson, Hannes Nickisch, Seth R. Flaxman, Daniel B. Neill, Wilbert Van Panhuis, Eric P. Xing:
Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces. AISTATS 2016: 1013-1021 - [c4]Seth R. Flaxman, Dino Sejdinovic, John P. Cunningham, Sarah Filippi:
Bayesian Learning of Kernel Embeddings. UAI 2016 - 2015
- [c3]Seth R. Flaxman, Andrew Gordon Wilson, Daniel B. Neill, Hannes Nickisch, Alexander J. Smola:
Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods. ICML 2015: 607-616 - [c2]Seth R. Flaxman, Yu-Xiang Wang, Alexander J. Smola:
Who Supported Obama in 2012?: Ecological Inference through Distribution Regression. KDD 2015: 289-298 - 2009
- [c1]Kevin Corcoran, Seth R. Flaxman, Mark Neyer, Peter Scherpelz, Craig Weidert, Ran Libeskind-Hadas:
Approximation Algorithms for Traffic Grooming in WDM Rings. ICC 2009: 1-6
Informal and Other Publications
- 2023
- [i20]Elizaveta Semenova, Max Cairney-Leeming, Seth R. Flaxman:
PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling. CoRR abs/2304.04307 (2023) - [i19]Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, Seth R. Flaxman, H. Juliette T. Unwin:
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya. CoRR abs/2305.19779 (2023) - 2022
- [i18]Giovanni Charles, Timothy M. Wolock, Peter Winskill, Azra C. Ghani, Samir Bhatt, Seth R. Flaxman:
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference. CoRR abs/2209.09617 (2022) - [i17]Alexander Terenin, David R. Burt, Artem Artemev, Seth R. Flaxman, Mark van der Wilk, Carl Edward Rasmussen, Hong Ge:
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees. CoRR abs/2210.07893 (2022) - [i16]Xenia Miscouridou, Samir Bhatt, George O. Mohler, Seth R. Flaxman, Swapnil Mishra:
Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes. CoRR abs/2210.11844 (2022) - [i15]Emily Muller, Emily Gemmell, Ishmam Choudhury, Ricky Nathvani, Antje Barbara Metzler, James E. Bennett, Emily Denton, Seth R. Flaxman, Majid Ezzati:
City-Wide Perceptions of Neighbourhood Quality using Street View Images. CoRR abs/2211.12139 (2022) - 2021
- [i14]Elizaveta Semenova, Yidan Xu, Adam Howes, Theo Rashid, Samir Bhatt, Swapnil Mishra, Seth R. Flaxman:
Encoding spatiotemporal priors with VAEs for small-area estimation. CoRR abs/2110.10422 (2021) - [i13]Sílvia Casacuberta, Esra Suel, Seth R. Flaxman:
PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability. CoRR abs/2112.15571 (2021) - 2020
- [i12]Swapnil Mishra, Seth R. Flaxman, Samir Bhatt:
πVAE: Encoding stochastic process priors with variational autoencoders. CoRR abs/2002.06873 (2020) - [i11]Stamatina Lamprinakou, Emma J. McCoy, Mauricio Barahona, Axel Gandy, Seth R. Flaxman, Sarah Filippi:
BART-based inference for Poisson processes. CoRR abs/2005.07927 (2020) - [i10]Harrison Zhu, Xing Liu, Ruya Kang, Zhichao Shen, Seth R. Flaxman, François-Xavier Briol:
Bayesian Probabilistic Numerical Integration with Tree-Based Models. CoRR abs/2006.05371 (2020) - [i9]Michaela A. C. Vollmer, Ben Glampson, Thomas A. Mellan, Swapnil Mishra, Luca Mercuri, Ceire Costelloe, Robert Klaber, Graham S. Cooke, Seth R. Flaxman, Samir Bhatt:
A unified machine learning approach to time series forecasting applied to demand at emergency departments. CoRR abs/2007.06566 (2020) - [i8]Miguel A. Boland, Edward A. K. Cohen, Seth R. Flaxman, Mark A. A. Neil:
Improving axial resolution in SIM using deep learning. CoRR abs/2009.02264 (2020) - 2019
- [i7]Jonathan Ish-Horowicz, Dana Udwin, Seth R. Flaxman, Sarah Filippi, Lorin Crawford:
Interpreting Deep Neural Networks Through Variable Importance. CoRR abs/1901.09839 (2019) - [i6]Edoardo Lisi, Mohammad Malekzadeh, Hamed Haddadi, F. Din-Houn Lau, Seth R. Flaxman:
Modeling and Forecasting Art Movements with CGANs. CoRR abs/1906.09230 (2019) - 2018
- [i5]Ho Chung Leon Law, Dino Sejdinovic, Ewan Cameron, Tim C. D. Lucas, Seth R. Flaxman, Katherine Battle, Kenji Fukumizu:
Variational Learning on Aggregate Outputs with Gaussian Processes. CoRR abs/1805.08463 (2018) - [i4]Anthony Hu, Seth R. Flaxman:
Multimodal Sentiment Analysis To Explore the Structure of Emotions. CoRR abs/1805.10205 (2018) - 2017
- [i3]Ho Chung Leon Law, Danica J. Sutherland, Dino Sejdinovic, Seth R. Flaxman:
Bayesian Distribution Regression. CoRR abs/1705.04293 (2017) - 2016
- [i2]Hyunjik Kim, Xiaoyu Lu, Seth R. Flaxman, Yee Whye Teh:
Tucker Gaussian Process for Regression and Collaborative Filtering. CoRR abs/1605.07025 (2016) - [i1]Bryce Goodman, Seth R. Flaxman:
EU regulations on algorithmic decision-making and a "right to explanation". CoRR abs/1606.08813 (2016)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-05-19 00:09 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
