Scott Emmons
Zitiert von
Zitiert von
Analysis of network clustering algorithms and cluster quality metrics at scale
S Emmons, S Kobourov, M Gallant, K Börner
PloS one 11 (7), e0159161, 2016
RvS: What is Essential for Offline RL via Supervised Learning?
S Emmons, B Eysenbach, I Kostrikov, S Levine
International Conference on Learning Representations, 2022
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark
A Pan, JS Chan, A Zou, N Li, S Basart, T Woodside, H Zhang, S Emmons, ...
International Conference on Machine Learning, 26837-26867, 2023
imitation: Clean Imitation Learning Implementations
A Gleave, M Taufeeque, J Rocamonde, E Jenner, SH Wang, S Toyer, ...
arXiv preprint arXiv:2211.11972, 2022
Sparse graphical memory for robust planning
S Emmons, A Jain, M Laskin, T Kurutach, P Abbeel, D Pathak
Advances in Neural Information Processing Systems 33, 5251-5262, 2020
Post-processing partitions to identify domains of modularity optimization
WH Weir, S Emmons, R Gibson, D Taylor, PJ Mucha
Algorithms 10 (3), 93, 2017
MOOC visual analytics: Empowering students, teachers, researchers, and platform developers of massively open online courses
SR Emmons, RP Light, K Börner
Journal of the Association for Information Science and Technology 68 (10 …, 2017
An Empirical Investigation of Representation Learning for Imitation
X Chen, S Toyer, C Wild, S Emmons, I Fischer, KH Lee, N Alex, SH Wang, ...
Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021
Map equation with metadata: varying the role of attributes in community detection
S Emmons, PJ Mucha
Physical Review E 100 (2), 022301, 2019
Image Hijacks: Adversarial Images can Control Generative Models at Runtime
L Bailey, E Ong, S Russell, S Emmons
arXiv preprint arXiv:2309.00236, 2023
Global redundancy resolution via continuous pseudoinversion of the forward kinematic map
K Hauser, S Emmons
IEEE Transactions on Automation Science and Engineering 15 (3), 932-944, 2018
A StrongREJECT for Empty Jailbreaks
A Souly, Q Lu, D Bowen, T Trinh, E Hsieh, S Pandey, P Abbeel, ...
arXiv preprint arXiv:2402.10260, 2024
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria
S Emmons, C Oesterheld, A Critch, V Conitzer, S Russell
International Conference on Machine Learning, 2022
Concurrency and reachability in treelike temporal networks
E Lee, S Emmons, R Gibson, J Moody, PJ Mucha
Physical Review E 100 (6), 062305, 2019
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
arXiv preprint arXiv:2402.17747, 2024
Uncovering Latent Human Wellbeing in Language Model Embeddings
P Freire, CC Tan, A Gleave, D Hendrycks, S Emmons
arXiv preprint arXiv:2402.11777, 2024
ALMANACS: A Simulatability Benchmark for Language Model Explainability
E Mills, S Su, S Russell, S Emmons
arXiv preprint arXiv:2312.12747, 2023
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