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Richard E. Turner

Identifiers

  • name variant Richard E. Turner 0.60 · backfill

Papers (37)

  1. Diffusion Models Observe Only Gradients: A Geometric Perspective on Score Matching Errors stat.ML · 2026 · author #2
  2. Skillful high-resolution weather forecasting independent of physical models physics.ao-ph · 2026 · author #9
  3. Incremental Transformer Neural Processes cs.LG · 2026 · author #5
  4. Quantifying Error Propagation and Model Collapse in Diffusion Models stat.ML · 2026 · author #2
  5. Artificial intelligence for methane detection: from continuous monitoring to verified mitigation cs.LG · 2025 · author #15
  6. 'In-Between' Uncertainty in Bayesian Neural Networks stat.ML · 2019 · author #4
  7. Fast computation of loudness using a deep neural network eess.AS · 2019 · author #2
  8. Improving and Understanding Variational Continual Learning stat.ML · 2019 · author #4
  9. Partitioned Variational Inference: A unified framework encompassing federated and continual learning stat.ML · 2018 · author #4
  10. Infinite-Horizon Gaussian Processes cs.LG · 2018 · author #3
  11. Deterministic Variational Inference for Robust Bayesian Neural Networks cs.LG · 2018 · author #4
  12. Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning stat.ML · 2018 · author #3
  13. Gaussian Process Behaviour in Wide Deep Neural Networks stat.ML · 2018 · author #4
  14. Structured Evolution with Compact Architectures for Scalable Policy Optimization cs.LG · 2018 · author #4
  15. The Mirage of Action-Dependent Baselines in Reinforcement Learning cs.LG · 2018 · author #4
  16. Learning Causally-Generated Stationary Time Series stat.ML · 2018 · author #2
  17. The Gaussian Process Autoregressive Regression Model (GPAR) stat.ML · 2018 · author #4
  18. Variational Continual Learning stat.ML · 2017 · author #4
  19. Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning cs.LG · 2017 · author #4
  20. Discriminative k-shot learning using probabilistic models stat.ML · 2017 · author #5
  21. Streaming Sparse Gaussian Process Approximations stat.ML · 2017 · author #3
  22. Gradient Estimators for Implicit Models stat.ML · 2017 · author #2
  23. Approximate Inference with Amortised MCMC stat.ML · 2017 · author #2
  24. Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control cs.LG · 2016 · author #5
  25. Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic cs.LG · 2016 · author #4
  26. A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation stat.ML · 2016 · author #3
  27. The Multivariate Generalised von Mises distribution: Inference and applications stat.ML · 2016 · author #3
  28. Deep Gaussian Processes for Regression using Approximate Expectation Propagation stat.ML · 2016 · author #5
  29. R\'enyi Divergence Variational Inference stat.ML · 2016 · author #2
  30. Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation stat.ML · 2015 · author #5
  31. Stochastic Expectation Propagation for Large Scale Gaussian Process Classification stat.ML · 2015 · author #5
  32. Black-box $\alpha$-divergence Minimization stat.ML · 2015 · author #6
  33. Denoising without access to clean data using a partitioned autoencoder cs.NE · 2015 · author #2
  34. Stochastic Expectation Propagation stat.ML · 2015 · author #3
  35. Neural Adaptive Sequential Monte Carlo cs.LG · 2015 · author #3
  36. On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes stat.ML · 2015 · author #3
  37. Target Fishing: A Single-Label or Multi-Label Problem? q-bio.BM · 2014 · author #3

Mentions

  • 1511.03405 #5 · backfill · confidence 0.70 Richard E. Turner
  • 1511.03249 #5 · backfill · confidence 0.70 Richard E. Turner
  • 1511.03243 #6 · backfill · confidence 0.70 Richard E. Turner
  • 1509.05982 #2 · backfill · confidence 0.70 Richard E. Turner
  • 2606.06179 #2 · arxiv_oai · confidence 0.70 Richard E. Turner
  • 2602.18955 #5 · arxiv_oai · confidence 0.70 Richard E. Turner
  • 1506.04132 #3 · backfill · confidence 0.70 Richard E. Turner
  • 1506.03338 #3 · backfill · confidence 0.70 Richard E. Turner
  • 1504.07027 #3 · backfill · confidence 0.70 Richard E. Turner
  • 1411.6285 #3 · backfill · confidence 0.70 Richard E. Turner
  • 2602.16601 #2 · arxiv_oai · confidence 0.70 Richard E. Turner
  • 2605.28153 #9 · arxiv_oai · confidence 0.70 Richard E. Turner

Frequent Coauthors