| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 2703 | 2021 |
| Rethinking attention with performers K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ... arXiv preprint arXiv:2009.14794, 2020 | 1271 | 2020 |
| Masked language modeling for proteins via linearly scalable long-context transformers K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ... arXiv preprint arXiv:2006.03555, 2020 | 83 | 2020 |
| Decentralized Training of Foundation Models in Heterogeneous Environments B Yuan, Y He, JQ Davis, T Zhang, T Dao, B Chen, P Liang, C Re, C Zhang arXiv preprint arXiv:2206.01288, 2022 | 45 | 2022 |
| Ode to an ODE KM Choromanski, JQ Davis, V Likhosherstov, X Song, JJ Slotine, J Varley, ... Advances in Neural Information Processing Systems 33, 3338-3350, 2020 | 26 | 2020 |
| Sub-linear memory: How to make performers slim V Likhosherstov, KM Choromanski, JQ Davis, X Song, A Weller Advances in Neural Information Processing Systems 34, 6707-6719, 2021 | 18 | 2021 |
| Controlling Commercial Cooling Systems Using Reinforcement Learning J Luo, C Paduraru, O Voicu, Y Chervonyi, S Munns, J Li, C Qian, P Dutta, ... arXiv preprint arXiv:2211.07357, 2022 | 17 | 2022 |
| Catformer: Designing stable transformers via sensitivity analysis JQ Davis, A Gu, K Choromanski, T Dao, C Re, C Finn, P Liang International Conference on Machine Learning, 2489-2499, 2021 | 15 | 2021 |
| Time dependence in non-autonomous neural odes JQ Davis, K Choromanski, J Varley, H Lee, JJ Slotine, V Likhosterov, ... arXiv preprint arXiv:2005.01906, 2020 | 14 | 2020 |
| Semi-analytical Industrial Cooling System Model for Reinforcement Learning Y Chervonyi, P Dutta, P Trochim, O Voicu, C Paduraru, C Qian, ... arXiv preprint arXiv:2207.13131, 2022 | 6 | 2022 |
| Understanding and Analyzing the Effectiveness of Uncertainty Sampling S Mussmann Stanford University, 2021 | 1 | 2021 |
| Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems L Chen, JQ Davis, B Hanin, P Bailis, I Stoica, M Zaharia, J Zou arXiv preprint arXiv:2403.02419, 2024 | | 2024 |
| Time Dependence in Non-Autonomous Neural ODEs J Quincy Davis, K Choromanski, J Varley, H Lee, JJ Slotine, V Likhosterov, ... arXiv e-prints, arXiv: 2005.01906, 2020 | | 2020 |
| An Ode to an ODE Download PDF K Choromanski, JQ Davis, V Likhosherstov, X Song, JJ Slotine, J Varley, ... | | |
