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Tom Rainforth

Identifiers

  • name variant Tom Rainforth 0.60 · backfill

Papers (21)

  1. Loss-Driven Bayesian Active Learning cs.LG · 2026 · author #3
  2. Kosmos: An AI Scientist for Autonomous Discovery cs.AI · 2025 · author #32
  3. BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design cs.CL · 2025 · author #8
  4. Amortized Monte Carlo Integration stat.ML · 2019 · author #3
  5. Hijacking Malaria Simulators with Probabilistic Programming stat.ML · 2019 · author #3
  6. LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models cs.LG · 2019 · author #4
  7. Disentangling Disentanglement in Variational Autoencoders stat.ML · 2018 · author #2
  8. A Statistical Approach to Assessing Neural Network Robustness stat.ML · 2018 · author #2
  9. On Exploration, Exploitation and Learning in Adaptive Importance Sampling stat.ML · 2018 · author #2
  10. Inference Trees: Adaptive Inference with Exploration stat.CO · 2018 · author #1
  11. Hamiltonian Monte Carlo for Probabilistic Programs with Discontinuities stat.CO · 2018 · author #4
  12. Nesting Probabilistic Programs stat.ML · 2018 · author #1
  13. Tighter Variational Bounds are Not Necessarily Better stat.ML · 2018 · author #1
  14. Faithful Inversion of Generative Models for Effective Amortized Inference stat.ML · 2017 · author #5
  15. On Nesting Monte Carlo Estimators stat.CO · 2017 · author #1
  16. Bayesian Optimization for Probabilistic Programs stat.ML · 2017 · author #1
  17. Auto-Encoding Sequential Monte Carlo stat.ML · 2017 · author #3
  18. On the Pitfalls of Nested Monte Carlo stat.CO · 2016 · author #1
  19. Probabilistic structure discovery in time series data stat.ML · 2016 · author #3
  20. Interacting Particle Markov Chain Monte Carlo stat.CO · 2016 · author #1
  21. Canonical Correlation Forests stat.ML · 2015 · author #1

Mentions

  • 2511.02824 #32 · arxiv_oai · confidence 0.70 Tom Rainforth

Frequent Coauthors