Peter J. Ramadge
Princeton University
H-index: 46
North America-United States
Top articles of Peter J. Ramadge
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
Fast, Smooth, and Safe: Implicit Control Barrier Functions through Reach-Avoid Differential Dynamic Programming | IEEE Control Systems Letters | Athindran Ramesh Kumar Kai-Chieh Hsu Peter J Ramadge Jaime F Fisac | 2023/7/4 |
Latent positional information is in the self-attention variance of transformer language models without positional embeddings | arXiv preprint arXiv:2305.13571 | Ta-Chung Chi Ting-Han Fan Li-Wei Chen Alexander I Rudnicky Peter J Ramadge | 2023/5/23 |
Aligning Brains into a Shared Space Improves Their Alignment to Large Language Model | ARNAB BHATTACHARJEE Zaid Zada Haocheng Wang Bobbi Aubrey Samuel Nastase | 2023/10/13 | |
Transformer working memory enables regular language reasoning and natural language length extrapolation | arXiv preprint arXiv:2305.03796 | Ta-Chung Chi Ting-Han Fan Alexander I Rudnicky Peter J Ramadge | 2023/5/5 |
Generative Marginalization Models | arXiv preprint arXiv:2310.12920 | Sulin Liu Peter J Ramadge Ryan P Adams | 2023/10/19 |
Kerple: Kernelized relative positional embedding for length extrapolation | Advances in Neural Information Processing Systems | Ta-Chung Chi Ting-Han Fan Peter J Ramadge Alexander Rudnicky | 2022/12/6 |
Training discrete deep generative models via gapped straight-through estimator | Ting-Han Fan Ta-Chung Chi Alexander I Rudnicky Peter J Ramadge | 2022/6/28 | |
Safety Control for Prime Focus Spectrograph | Ting-Han Fan Athindran Ramesh Kumar Peter J Ramadge | 2022/3/9 | |
Expert intervention learning: An online framework for robot learning from explicit and implicit human feedback | Autonomous Robots | Jonathan Spencer Sanjiban Choudhury Matthew Barnes Matthew Schmittle Mung Chiang | 2022/1/1 |
Dissecting transformer length extrapolation via the lens of receptive field analysis | arXiv preprint arXiv:2212.10356 | Ta-Chung Chi Ting-Han Fan Alexander I Rudnicky Peter J Ramadge | 2022/12/20 |
Learning physics constrained dynamics using autoencoders | Advances in Neural Information Processing Systems | Tsung-Yen Yang Justinian Rosca Karthik Narasimhan Peter J Ramadge | 2022/12/6 |
A Contraction Approach to Model-based Reinforcement Learning | Ting-Han Fan Peter Ramadge | 2021/3/18 | |
BrainIAK: the brain imaging analysis kit | Aperture neuro | Manoj Kumar Michael J Anderson James W Antony Christopher Baldassano Paula P Brooks | 2021 |
Accelerating safe reinforcement learning with constraint-mismatched baseline policies | Tsung-Yen Yang Justinian Rosca Karthik Narasimhan Peter J Ramadge | 2021/7/1 | |
Learning to control using a convex combination of controllers | Athindran Ramesh Kumar Peter J Ramadge | 2021/5/25 | |
DiffLoop: Tuning PID controllers by differentiating through the feedback loop | Athindran Ramesh Kumar Peter J Ramadge | 2021/3/24 | |
Safe reinforcement learning with natural language constraints | Tsung-Yen Yang Michael Hu Yinlam Chow Peter J Ramadge Karthik Narasimhan | 2021/10/26 | |
An Experimental Study of Balance in Matrix Factorization | Jennifer Hsia Peter J Ramadge | 2021/3/24 | |
Explaining off-policy actor-critic from a bias-variance perspective | arXiv preprint arXiv:2110.02421 | Ting-Han Fan Peter J Ramadge | 2021/10/6 |
Learning from interventions: Human-robot interaction as both explicit and implicit feedback | Jonathan Spencer Sanjiban Choudhury Matthew Barnes Matthew Schmittle Mung Chiang | 2020 |