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Seth Flaxman

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Papers (14)

  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. Multimodal Sentiment Analysis To Explore the Structure of Emotions stat.ML · 2018 · author #2
  6. Variational Learning on Aggregate Outputs with Gaussian Processes stat.ML · 2018 · author #5
  7. 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
  8. Spatial Mapping with Gaussian Processes and Nonstationary Fourier Features stat.ML · 2017 · author #2
  9. Is Gun Violence Contagious? stat.AP · 2016 · author #2
  10. Poisson intensity estimation with reproducing kernels stat.ML · 2016 · author #1
  11. European Union regulations on algorithmic decision-making and a "right to explanation" stat.ML · 2016 · author #2
  12. Collaborative Filtering with Side Information: a Gaussian Process Perspective stat.ML · 2016 · author #3
  13. Bayesian Learning of Kernel Embeddings stat.ML · 2016 · author #1
  14. Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces stat.ML · 2015 · author #4

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