David Krueger

Identifiers

No identifiers captured yet.

Papers (14)

1. A Decision-Theoretic Formalisation of Steganography With Applications to LLM Monitoring cs.AI · 2026 · author #9
2. Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback cs.AI · 2023 · author #30
3. Scalable agent alignment via reward modeling: a research direction cs.LG · 2018 · author #2
4. Uncertainty in Multitask Transfer Learning stat.ML · 2018 · author #6
5. Neural Autoregressive Flows cs.LG · 2018 · author #2
6. Nested LSTMs cs.CL · 2018 · author #2
7. Deep Prior stat.ML · 2017 · author #6
8. Bayesian Hypernetworks stat.ML · 2017 · author #1
9. A Closer Look at Memorization in Deep Networks stat.ML · 2017 · author #4
10. Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations cs.NE · 2016 · author #1
11. Regularizing RNNs by Stabilizing Activations cs.NE · 2015 · author #1
12. Testing Visual Attention in Dynamic Environments cs.LG · 2015 · author #2
13. NICE: Non-linear Independent Components Estimation cs.LG · 2014 · author #2
14. Zero-bias autoencoders and the benefits of co-adapting features stat.ML · 2014 · author #3

Mentions

No mention provenance yet.

Frequent Coauthors

• Aaron Courville 4 shared papers
• Alexandre Lacoste 4 shared papers
• Yoshua Bengio 3 shared papers
• Boris Oreshkin 2 shared papers
• Chin-Wei Huang 2 shared papers
• Negar Rostamzadeh 2 shared papers
• Nicolas Ballas 2 shared papers
• Roland Memisevic 2 shared papers
• Tegan Maharaj 2 shared papers
• Thomas Boquet 2 shared papers
• Usman Anwar 2 shared papers
• Wonchang Chung 2 shared papers
• Anand Siththaranjan 1 shared papers
• Anca Dragan 1 shared papers
• Andi Peng 1 shared papers
• Anirudh Goyal 1 shared papers
• Asja Fischer 1 shared papers
• Charbel-Rapha\"el Segerie 1 shared papers
• Chris Pal 1 shared papers
• Christian Schroeder de Witt 1 shared papers