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Erik Jenner
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Cited by
Year
Steerable Partial Differential Operators for Equivariant Neural Networks
E Jenner, M Weiler
ICLR, 2022
132022
Preprocessing Reward Functions for Interpretability
E Jenner, A Gleave
NeurIPS Cooperative AI workshop, 2021
32021
imitation: Clean Imitation Learning Implementations
A Gleave, M Taufeeque, J Rocamonde, E Jenner, SH Wang, S Toyer, ...
arXiv preprint arXiv:2211.11972, 2022
12022
Calculus on MDPs: Potential Shaping as a Gradient
E Jenner, H van Hoof, A Gleave
arXiv preprint arXiv:2208.09570, 2022
12022
A general framework for reward function distances
E Jenner, JMV Skalse, A Gleave
NeurIPS ML Safety Workshop, 2022
2022
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
Replication: Fairness without demographics through Adversarially Reweighted Learning
E Jenner, T Lieberum, FP Nolte, N Rutsch
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Articles 1–7