Approximation Algorithms for Traffic Grooming in WDM Rings. - Kevin Corcoran; Seth R. Flaxman; Mark Neyer; Peter Scherpelz; Craig Weidert; Ran Libeskind-Hadas (ICC, 2009)

Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods. - Seth R. Flaxman; Andrew Gordon Wilson; Daniel B. Neill; Hannes Nickisch; Alexander J. Smola (ICML, 2015)

Who Supported Obama in 2012?: Ecological Inference through Distribution Regression. - Seth R. Flaxman; Yu-Xiang Wang 003; Alexander J. Smola (KDD, 2015)

Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces. - William Herlands; Andrew Gordon Wilson; Hannes Nickisch; Seth R. Flaxman; Daniel B. Neill; Wilbert Van Panhuis; Eric P. Xing (AISTATS, 2016)

Bayesian Learning of Kernel Embeddings. - Seth R. Flaxman; Dino Sejdinovic; John P. Cunningham; Sarah Filippi (UAI, 2016)

EU regulations on algorithmic decision-making and a "right to explanation". - Bryce Goodman; Seth R. Flaxman (CoRR, 2016)

Tucker Gaussian Process for Regression and Collaborative Filtering. - Hyunjik Kim; Xiaoyu Lu; Seth R. Flaxman; Yee Whye Teh (CoRR, 2016)

Gaussian Processes for Independence Tests with Non-iid Data in Causal Inference. - Seth R. Flaxman; Daniel B. Neill; Alexander J. Smola (ACM Trans. Intell. Syst. Technol., 2016)

Poisson intensity estimation with reproducing kernels. - Seth R. Flaxman; Yee Whye Teh; Dino Sejdinovic (AISTATS, 2017)

Feature-to-Feature Regression for a Two-Step Conditional Independence Test. - Qinyi Zhang; Sarah Filippi; Seth R. Flaxman; Dino Sejdinovic (UAI, 2017)

European Union Regulations on Algorithmic Decision-Making and a "Right to Explanation". - Bryce Goodman; Seth R. Flaxman (AI Mag., 2017)

Bayesian Distribution Regression. - Ho Chung Leon Law; Danica J. Sutherland; Dino Sejdinovic; Seth R. Flaxman (CoRR, 2017)

AdaGeo: Adaptive Geometric Learning for Optimization and Sampling. - Gabriele Abbati; Alessandra Tosi; Michael A. Osborne; Seth R. Flaxman (AISTATS, 2018)

Bayesian Approaches to Distribution Regression. - Ho Chung Leon Law; Danica J. Sutherland; Dino Sejdinovic; Seth R. Flaxman (AISTATS, 2018)

Multimodal Sentiment Analysis To Explore the Structure of Emotions. - Anthony Hu 001; Seth R. Flaxman (KDD, 2018)

Variational Learning on Aggregate Outputs with Gaussian Processes. - Ho Chung Leon Law; Dino Sejdinovic; Ewan Cameron; Tim C. D. Lucas; Seth R. Flaxman; Katherine Battle; Kenji Fukumizu (NeurIPS, 2018)

Interpreting Deep Neural Networks Through Variable Importance. - Jonathan Ish-Horowicz; Dana Udwin; Seth R. Flaxman; Sarah Filippi; Lorin Crawford (CoRR, 2019)

Modeling and Forecasting Art Movements with CGANs. - Edoardo Lisi; Mohammad Malekzadeh; Hamed Haddadi; F. Din-Houn Lau; Seth R. Flaxman (CoRR, 2019)

Bayesian Probabilistic Numerical Integration with Tree-Based Models. - Harrison Zhu; Xing Liu; Ruya Kang; Zhichao Shen; Seth R. Flaxman; François-Xavier Briol (NeurIPS, 2020)

πVAE: Encoding stochastic process priors with variational autoencoders. - Swapnil Mishra; Seth R. Flaxman; Samir Bhatt (CoRR, 2020)

A unified machine learning approach to time series forecasting applied to demand at emergency departments. - 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 (CoRR, 2020)

Improving axial resolution in SIM using deep learning. - Miguel A. Boland; Edward A. K. Cohen; Seth R. Flaxman; Mark A. A. Neil (CoRR, 2020)

Gaussian process nowcasting: application to COVID-19 mortality reporting. - 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 (UAI, 2021)

Encoding spatiotemporal priors with VAEs for small-area estimation. - Elizaveta Semenova; Yidan Xu; Adam Howes; Theo Rashid; Samir Bhatt; Swapnil Mishra; Seth R. Flaxman (CoRR, 2021)

PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability. - Sílvia Casacuberta; Esra Suel; Seth R. Flaxman (CoRR, 2021)

Unrepresentative big surveys significantly overestimated US vaccine uptake. - Valerie C. Bradley; Shiro Kuriwaki; Michael Isakov; Dino Sejdinovic; Xiao-Li Meng; Seth R. Flaxman (Nat., 2021)

Using Hawkes Processes to model imported and local malaria cases in near-elimination settings. - H. Juliette T. Unwin; Isobel Routledge; Seth R. Flaxman; Marian-Andrei Rizoiu; Shengjie Lai; Justin Cohen; Daniel J. Weiss; Swapnil Mishra; Samir Bhatt (PLoS Comput. Biol., 2021)

Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data. - Andrew J. Holbrook; Charles E. Loeffler; Seth R. Flaxman; Marc A. Suchard (Stat. Comput., 2021)

City-Wide Perceptions of Neighbourhood Quality using Street View Images. - Emily Muller; Emily Gemmell; Ishmam Choudhury; Ricky Nathvani; Antje Barbara Metzler; James E. Bennett; Emily Denton; Seth R. Flaxman; Majid Ezzati (CoRR, 2022)

πVAE: a stochastic process prior for Bayesian deep learning with MCMC. - Swapnil Mishra; Seth R. Flaxman; Tresnia Berah; Harrison Zhu; Mikko Pakkanen; Samir Bhatt (Stat. Comput., 2022)

Bayesian Kernel Two-Sample Testing. - Qinyi Zhang; Veit Wild; Sarah Filippi; Seth R. Flaxman; Dino Sejdinovic (J. Comput. Graph. Stat., 2022)

Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference. - Giovanni Charles; Timothy M. Wolock; Peter Winskill; Azra C. Ghani; Samir Bhatt; Seth R. Flaxman (AAAI, 2023)

PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling. - Elizaveta Semenova; Max Cairney-Leeming; Seth R. Flaxman (CoRR, 2023)

Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes. - Xenia Miscouridou; Samir Bhatt; George O. Mohler; Seth R. Flaxman; Swapnil Mishra (Trans. Mach. Learn. Res., 2023)

BART-based inference for Poisson processes. - Stamatina Lamprinakou; Mauricio Barahona; Seth R. Flaxman; Sarah Filippi; Axel Gandy; Emma J. McCoy (Comput. Stat. Data Anal., 2023)

Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya. - Elizaveta Semenova; Swapnil Mishra; Samir Bhatt; Seth R. Flaxman; H. Juliette T. Unwin (Epi UAI, 2024)

KidSat: satellite imagery to map childhood poverty dataset and benchmark. - Makkunda Sharma; Fan Yang; Duy-Nhat Vo; Esra Suel; Swapnil Mishra; Samir Bhatt; Oliver Fiala; William Rudgard; Seth R. Flaxman (CoRR, 2024)

Graph Agnostic Causal Bayesian Optimisation. - Sumantrak Mukherjee; Mengyan Zhang; Seth R. Flaxman; Sebastian J. Vollmer (CoRR, 2024)

Transformer Neural Processes - Kernel Regression. - Daniel Jenson; Jhonathan Navott; Mengyan Zhang; Makkunda Sharma; Elizaveta Semenova; Seth R. Flaxman (CoRR, 2024)

Uncertainty-Aware Regression for Socio-Economic Estimation via Multi-View Remote Sensing. - Fan Yang; Sahoko Ishida; Mengyan Zhang; Daniel Jenson; Swapnil Mishra; Jhonathan Navott; Seth R. Flaxman (CoRR, 2024)

Indirect Query Bayesian Optimization with Integrated Feedback. - Mengyan Zhang; Shahine Bouabid; Cheng Soon Ong; Seth R. Flaxman; Dino Sejdinovic (CoRR, 2024)

Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees. - Alexander Terenin; David R. Burt; Artem Artemev; Seth R. Flaxman; Mark van der Wilk; Carl Edward Rasmussen; Hong Ge (J. Mach. Learn. Res., 2024)

Artificial intelligence for modelling infectious disease epidemics. - Moritz U. G. Kraemer; Joseph L.-H. Tsui; Serina Chang; Spyros Lytras; Mark P. Khurana; Samantha Vanderslott; Sumali Bajaj; Neil Scheidwasser; Jacob Liam Curran-Sebastian; Elizaveta Semenova; Mengyan Zhang; H. Juliette T. Unwin; et al. (Nat., 2025)

DeepRV: pre-trained spatial priors for accelerated disease mapping. - Jhonathan Navott; Daniel Jenson; Seth R. Flaxman; Elizaveta Semenova (CoRR, 2025)

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples). - Siyi Sun; David Antony Selby; Yunchuan Huang; Sebastian J. Vollmer; Seth R. Flaxman; Anisoara Calinescu (CoRR, 2025)

Scalable Spatiotemporal Inference with Biased Scan Attention Transformer Neural Processes. - Daniel Jenson; Jhonathan Navott; Piotr Grynfelder; Mengyan Zhang; Makkunda Sharma; Elizaveta Semenova; Seth R. Flaxman (CoRR, 2025)