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• Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
  2017 · 472 citations
• Isolating Sources of Disentanglement in Variational Autoencoders
  2018 · 145 citations
• Functional Variational Bayesian Neural Networks
  2019 · 116 citations
• On the Quantitative Analysis of Decoder-Based Generative Models
  2016 · 34 citations
• Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
  2024 · 34 citations
• Noisy Natural Gradient as Variational Inference
  2017 · 28 citations
• Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
  2019 · 18 citations
• Regularized linear autoencoders recover the principal components, eventually
  2020 · 11 citations
• Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
  2021 · 1 citations
• Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference
  2025