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Seth Flaxman

Identifiers

  • name variant Seth Flaxman 0.60 · backfill

Papers (42)

  1. Tokenised Flow Matching for Hierarchical Simulation Based Inference cs.LG · 2026 · author #3
  2. Mapping Subnational Vulnerability to Inadequate Micronutrient Intake using a Bayesian Small Area Estimation Framework stat.AP · 2026 · author #10
  3. Scalable Spatiotemporal Inference with Biased Scan Attention Transformer Neural Processes cs.LG · 2025 · author #7
  4. Transformer Neural Processes - Kernel Regression cs.LG · 2024 · author #6
  5. Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya cs.LG · 2023 · author #4
  6. City-Wide Perceptions of Neighbourhood Quality using Street View Images cs.CV · 2022 · author #8
  7. Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes stat.ML · 2022 · author #4
  8. Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference cs.LG · 2022 · author #6
  9. PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability cs.CV · 2021 · author #3
  10. COVID-19-Associated Orphanhood and Caregiver Death in the United States stat.AP · 2021 · author #11
  11. Epidemia: An R Package for Semi-Mechanistic Bayesian Modelling of Infectious Diseases using Point Processes stat.CO · 2021 · author #5
  12. PriorVAE: Encoding spatial priors with VAEs for small-area estimation cs.LG · 2021 · author #7
  13. Regularised B-splines projected Gaussian Process priors to estimate time-trends of age-specific COVID-19 deaths related to vaccine roll-out stat.AP · 2021 · author #8
  14. Unrepresentative Big Surveys Significantly Overestimate US Vaccine Uptake stat.AP · 2021 · author #6
  15. Aggregated Gaussian Processes with Multiresolution Earth Observation Covariates stat.AP · 2021 · author #7
  16. Gaussian Process Nowcasting: Application to COVID-19 Mortality Reporting stat.AP · 2021 · author #8
  17. Semi-Mechanistic Bayesian Modeling of COVID-19 with Renewal Processes stat.AP · 2020 · author #3
  18. Referenced Thermodynamic Integration for Bayesian Model Selection: Application to COVID-19 Model Selection stat.AP · 2020 · author #3
  19. Improving axial resolution in SIM using deep learning eess.IV · 2020 · author #3
  20. Inference of COVID-19 epidemiological distributions from Brazilian hospital data q-bio.PE · 2020 · author #10
  21. A unified machine learning approach to time series forecasting applied to demand at emergency departments stat.AP · 2020 · author #9
  22. On the derivation of the renewal equation from an age-dependent branching process: an epidemic modelling perspective q-bio.PE · 2020 · author #8
  23. Bayesian Probabilistic Numerical Integration with Tree-Based Models stat.ME · 2020 · author #5
  24. BART-based inference for Poisson processes math.ST · 2020 · author #3
  25. Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in European countries: technical description update stat.AP · 2020 · author #1
  26. $\pi$VAE: a stochastic process prior for Bayesian deep learning with MCMC cs.LG · 2020 · author #2
  27. Bayesian Kernel Two-Sample Testing stat.ME · 2020 · author #4
  28. Modeling and Forecasting Art Movements with CGANs stat.ML · 2019 · author #5
  29. Interpreting Deep Neural Networks Through Variable Importance stat.ML · 2019 · author #3
  30. Multimodal Sentiment Analysis To Explore the Structure of Emotions stat.ML · 2018 · author #2
  31. Variational Learning on Aggregate Outputs with Gaussian Processes stat.ML · 2018 · author #5
  32. Scalable high-resolution forecasting of sparse spatiotemporal events with kernel methods: a winning solution to the NIJ "Real-Time Crime Forecasting Challenge" stat.ML · 2018 · author #1
  33. Spatial Mapping with Gaussian Processes and Nonstationary Fourier Features stat.ML · 2017 · author #2
  34. Bayesian Approaches to Distribution Regression stat.ML · 2017 · author #4
  35. Detecting causal associations in large nonlinear time series datasets stat.ME · 2017 · author #4
  36. Is Gun Violence Contagious? stat.AP · 2016 · author #2
  37. Understanding the 2016 US Presidential Election using ecological inference and distribution regression with census microdata stat.AP · 2016 · author #1
  38. Poisson intensity estimation with reproducing kernels stat.ML · 2016 · author #1
  39. European Union regulations on algorithmic decision-making and a "right to explanation" stat.ML · 2016 · author #2
  40. Collaborative Filtering with Side Information: a Gaussian Process Perspective stat.ML · 2016 · author #3
  41. Bayesian Learning of Kernel Embeddings stat.ML · 2016 · author #1
  42. Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces stat.ML · 2015 · author #4

Mentions

  • 2106.05818 #6 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2305.19779 #4 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2110.10422 #7 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2209.09617 #6 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2211.12139 #8 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2005.07927 #3 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2210.11844 #4 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2002.06873 #2 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2105.01460 #7 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2002.05550 #4 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2112.15571 #3 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2112.11777 #11 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2106.12360 #8 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2006.05371 #5 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2110.12461 #5 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2102.11249 #8 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2009.02264 #3 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1705.04293 #4 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1611.03787 #1 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2009.03851 #3 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2012.00394 #3 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2007.10317 #10 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2007.06566 #9 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2004.11342 #1 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 2006.16487 #8 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1901.09839 #3 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1906.09230 #5 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1702.07007 #4 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1801.02858 #1 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1805.10205 #2 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1606.08813 #2 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1805.08463 #5 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1711.05615 #2 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1610.08623 #1 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1605.07025 #3 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1611.06713 #2 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1603.02160 #1 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1511.04408 #4 · arxiv_oai · confidence 0.70 Seth Flaxman
  • 1511.04408 #4 · backfill · confidence 0.70 Seth Flaxman

Frequent Coauthors