| Foundational challenges in assuring alignment and safety of large language models U Anwar, A Saparov, J Rando, D Paleka, M Turpin, P Hase, ES Lubana, ... TMLR, 2024 | 167* | 2024 |
| imitation: Clean imitation learning implementations A Gleave, M Taufeeque, J Rocamonde, E Jenner, SH Wang, S Toyer, ... arXiv preprint arXiv:2211.11972, 2022 | 68 | 2022 |
| Steerable Partial Differential Operators for Equivariant Neural Networks E Jenner, M Weiler ICLR, 2022 | 31 | 2022 |
| Preprocessing Reward Functions for Interpretability E Jenner, A Gleave NeurIPS Cooperative AI workshop, 2021 | 14 | 2021 |
| Evidence of Learned Look-Ahead in a Chess-Playing Neural Network E Jenner, S Kapur, V Georgiev, C Allen, S Emmons, S Russell NeurIPS, 2024 | 9 | 2024 |
| When Your AI Deceives You: Challenges with Partial Observability of Human Evaluators in Reward Learning L Lang, D Foote, S Russell, A Dragan, E Jenner, S Emmons NeurIPS, 2024 | 9* | 2024 |
| STARC: A General Framework For Quantifying Differences Between Reward Functions J Skalse, L Farnik, SR Motwani, E Jenner, A Gleave, A Abate ICLR, 2023 | 8 | 2023 |
| Calculus on MDPs: Potential shaping as a gradient E Jenner, H van Hoof, A Gleave arXiv preprint arXiv:2208.09570, 2022 | 7* | 2022 |
| A general framework for reward function distances E Jenner, JMV Skalse, A Gleave NeurIPS ML Safety Workshop, 2022 | 6 | 2022 |
| Diffusion on syntax trees for program synthesis S Kapur, E Jenner, S Russell arXiv preprint arXiv:2405.20519, 2024 | 4 | 2024 |
| A comparison of causal scrubbing, causal abstractions, and related methods E Jenner, A Garriga-alonso, E Zverev AI Alignment Forum, 2023 | 4 | 2023 |
| Obfuscated Activations Bypass LLM Latent-Space Defenses L Bailey, A Serrano, A Sheshadri, M Seleznyov, J Taylor, E Jenner, ... arXiv preprint arXiv:2412.09565, 2024 | | 2024 |
| Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice E Jenner, EF Sanmartín, FA Hamprecht Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | | 2021 |
| AI Can Conceal Undesirable Outputs Even Under White-Box Inspection A Draguns, E Jenner | | |
| Replication: Fairness without demographics through Adversarially Reweighted Learning E Jenner, T Lieberum, FP Nolte, N Rutsch | | |
Adam GleaveCEO at FAR AIПодтвержден адрес электронной почты в домене far.ai
