| Simulating 500 million years of evolution with a language model T Hayes, R Rao, H Akin, NJ Sofroniew, D Oktay, Z Lin, R Verkuil, VQ Tran, ... Science, eads0018, 2025 | 177 | 2025 |
| Scalable Model Compression by Entropy Penalized Reparameterization D Oktay, J Ballé, S Singh, A Shrivastava International Conference on Learning Representations (ICLR) 2020, 2020 | 52 | 2020 |
| Predicting motivations of actions by leveraging text C Vondrick, D Oktay, H Pirsiavash, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 52 | 2016 |
| Randomized automatic differentiation D Oktay, N McGreivy, J Aduol, A Beatson, RP Adams International Conference on Learning Representations (ICLR) 2021, 2021 | 34 | 2021 |
| Meta-pde: Learning to solve pdes quickly without a mesh T Qin, A Beatson, D Oktay, N McGreivy, RP Adams arXiv preprint arXiv:2211.01604, 2022 | 13 | 2022 |
| MOE: A global, black box optimization engine for real world metric optimization S Clark, E Liu, P Frazier, JL Wang, D Oktay, N Vesdapunt MOE: A global, black box optimization engine for real world metric optimization, 2014 | 11 | 2014 |
| bioRxiv preprint 2024 T Hayes, R Rao, H Akin, NJ Sofroniew, D Oktay, Z Lin, R Verkuil, VQ Tran, ... DOI 10 (2024.07), 01.600583, 0 | 6 | |
| Compression of machine-learned models via entropy penalized weight reparameterization D Oktay, S Singh, J Balle, A Shrivastava US Patent 11,574,232, 2023 | 5 | 2023 |
| Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network Nonlinearity D Oktay, M Mirramezani, E Medina, RP Adams International Conference of Learning Representations (ICLR) 2023, 2023 | 4 | 2023 |
| On predictive information in rnns Z Dong, D Oktay, B Poole, AA Alemi arXiv preprint arXiv:1910.09578, 2019 | 4 | 2019 |
| Metrics optimization engine SC Clark, E Liu, PI Frazier, J Wang, D Oktay, N Vesdapunt URL http://yelp. github. io/MOE, 2014 | 4 | 2014 |
| Simulating 500 million years of evolution with a language model, 2024 T Hayes, R Rao, H Akin, NJ Sofroniew, D Oktay, Z Lin, R Verkuil, VQ Tran, ... URL https://www. biorxiv. org/content/10.1101/2024.07 1, v1, 0 | 4 | |
| JAX FDM: A differentiable solver for inverse form-finding R Pastrana, D Oktay, RP Adams, S Adriaenssens arXiv preprint arXiv:2307.12407, 2023 | 3 | 2023 |
| Minuscule Corrections to Near-surface Solar Internal Rotation Using Mode Coupling SB Das, SG Kashyap, D Oktay, SM Hanasoge, J Tromp The Astrophysical Journal Supplement Series 266 (1), 1, 2023 | 3 | 2023 |
| A rapid and automated computational approach to the design of multistable soft actuators M Mirramezani, D Oktay, RP Adams Computer Physics Communications 298, 109090, 2024 | 2 | 2024 |
| Graph neural networks gone hogwild O Solodova, N Richardson, D Oktay, RP Adams arXiv preprint arXiv:2407.00494, 2024 | 1 | 2024 |
| Compression of machine-learned models via entropy penalized weight reparameterization D Oktay, S Singh, J Balle, A Shrivistava US Patent 11,907,818, 2024 | 1 | 2024 |
| Translating between Scientific Computing and Machine Learning with Automatic Differentiation D Oktay Princeton University, 2024 | 1 | 2024 |
| Fiber Monte Carlo N Richardson, D Oktay, Y Ovadia, JC Bowden, RP Adams International Conference on Learning Representations (ICLR) 2024, 2023 | 1 | 2023 |
| Counterfactual Image Networks D Oktay, C Vondrick, A Torralba | 1 | 2018 |
Ryan P. AdamsPrinceton UniversityAdresă de e-mail confirmată pe princeton.edu