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Publication search results
found 26 matches
- 2024
- Luke Bailey, Euan Ong, Stuart Russell, Scott Emmons:
Image Hijacks: Adversarial Images can Control Generative Models at Runtime. ICML 2024 - Alexandra Souly, Qingyuan Lu, Dillon Bowen, Tu Trinh, Elvis Hsieh, Sana Pandey, Pieter Abbeel, Justin Svegliato, Scott Emmons, Olivia Watkins, Sam Toyer:
A StrongREJECT for Empty Jailbreaks. CoRR abs/2402.10260 (2024) - Pedro Freire, ChengCheng Tan, Adam Gleave, Dan Hendrycks, Scott Emmons:
Uncovering Latent Human Wellbeing in Language Model Embeddings. CoRR abs/2402.11777 (2024) - Leon Lang, Davis Foote, Stuart Russell, Anca D. Dragan, Erik Jenner, Scott Emmons:
When Your AIs Deceive You: Challenges with Partial Observability of Human Evaluators in Reward Learning. CoRR abs/2402.17747 (2024) - Erik Jenner, Shreyas Kapur, Vasil Georgiev, Cameron Allen, Scott Emmons, Stuart Russell:
Evidence of Learned Look-Ahead in a Chess-Playing Neural Network. CoRR abs/2406.00877 (2024) - Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Cristóbal Eyzaguirre, Zane Durante, Joe Benton, Brando Miranda, Henry Sleight, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez:
When Do Universal Image Jailbreaks Transfer Between Vision-Language Models? CoRR abs/2407.15211 (2024) - 2023
- Alexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Hanlin Zhang, Scott Emmons, Dan Hendrycks:
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark. ICML 2023: 26837-26867 - Alexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Jonathan Ng, Hanlin Zhang, Scott Emmons, Dan Hendrycks:
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark. CoRR abs/2304.03279 (2023) - Luke Bailey, Euan Ong, Stuart Russell, Scott Emmons:
Image Hijacks: Adversarial Images can Control Generative Models at Runtime. CoRR abs/2309.00236 (2023) - Edmund Mills, Shiye Su, Stuart Russell, Scott Emmons:
ALMANACS: A Simulatability Benchmark for Language Model Explainability. CoRR abs/2312.12747 (2023) - 2022
- Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov, Sergey Levine:
RvS: What is Essential for Offline RL via Supervised Learning? ICLR 2022 - Scott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell:
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria. ICML 2022: 5924-5943 - Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H. Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah:
An Empirical Investigation of Representation Learning for Imitation. CoRR abs/2205.07886 (2022) - Scott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell:
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria. CoRR abs/2207.03470 (2022) - Adam Gleave, Mohammad Taufeeque, Juan Rocamonde, Erik Jenner, Steven H. Wang, Sam Toyer, Maximilian Ernestus, Nora Belrose, Scott Emmons, Stuart Russell:
imitation: Clean Imitation Learning Implementations. CoRR abs/2211.11972 (2022) - 2021
- Cynthia Chen, Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H. Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah:
An Empirical Investigation of Representation Learning for Imitation. NeurIPS Datasets and Benchmarks 2021 - Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov, Sergey Levine:
RvS: What is Essential for Offline RL via Supervised Learning? CoRR abs/2112.10751 (2021) - 2020
- Scott Emmons, Ajay Jain, Michael Laskin, Thanard Kurutach, Pieter Abbeel, Deepak Pathak:
Sparse Graphical Memory for Robust Planning. NeurIPS 2020 - Michael Laskin, Scott Emmons, Ajay Jain, Thanard Kurutach, Pieter Abbeel, Deepak Pathak:
Sparse Graphical Memory for Robust Planning. CoRR abs/2003.06417 (2020) - 2019
- Steven J. Cook, Travis A. Jarrell, Christopher A. Brittin, Yi Wang, Adam E. Bloniarz, Maksim A. Yakovlev, Ken C. Q. Nguyen, Leo T.-H. Tang, Emily A. Bayer, Janet S. Duerr, Hannes E. Bülow, Oliver Hobert, David H. Hall, Scott W. Emmons:
Whole-animal connectomes of both Caenorhabditis elegans sexes. Nat. 571(7763): 63-71 (2019) - 2018
- Kris Hauser, Scott Emmons:
Global Redundancy Resolution via Continuous Pseudoinversion of the Forward Kinematic Map. IEEE Trans Autom. Sci. Eng. 15(3): 932-944 (2018) - Scott Emmons, Peter J. Mucha:
A Map Equation with Metadata: Varying the Role of Attributes in Community Detection. CoRR abs/1810.10433 (2018) - 2017
- William H. Weir, Scott Emmons, Ryan Gibson, Dane Taylor, Peter J. Mucha:
Post-Processing Partitions to Identify Domains of Modularity Optimization. Algorithms 10(3): 93 (2017) - Scott Emmons, Robert P. Light, Katy Börner:
MOOC visual analytics: Empowering students, teachers, researchers, and platform developers of massively open online courses. J. Assoc. Inf. Sci. Technol. 68(10): 2350-2363 (2017) - William H. Weir, Scott Emmons, Ryan Gibson, Dane Taylor, Peter J. Mucha:
Post-processing partitions to identify domains of modularity optimization. CoRR abs/1706.03675 (2017) - 2016
- Scott Emmons, Stephen G. Kobourov, Mike Gallant, Katy Börner:
Analysis of Network Clustering Algorithms and Cluster Quality Metrics at Scale. CoRR abs/1605.05797 (2016)
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