| Neural ordinary differential equations RTQ Chen, Y Rubanova, J Bettencourt, DK Duvenaud Advances in neural information processing systems 31, 2018 | 4602 | 2018 |
| Ffjord: Free-form continuous dynamics for scalable reversible generative models W Grathwohl, RTQ Chen, J Bettencourt, I Sutskever, D Duvenaud arXiv preprint arXiv:1810.01367, 2018 | 808 | 2018 |
| Diffeqflux. jl-A julia library for neural differential equations C Rackauckas, M Innes, Y Ma, J Bettencourt, L White, V Dixit arXiv preprint arXiv:1902.02376, 2019 | 147 | 2019 |
| Scalable reversible generative models with free-form continuous dynamics W Grathwohl, RTQ Chen, J Bettencourt, D Duvenaud International Conference on Learning Representations, 7, 2019 | 116 | 2019 |
| Learning differential equations that are easy to solve J Kelly, J Bettencourt, MJ Johnson, DK Duvenaud Advances in Neural Information Processing Systems 33, 4370-4380, 2020 | 107 | 2020 |
| Taylor-mode automatic differentiation for higher-order derivatives in JAX J Bettencourt, MJ Johnson, D Duvenaud Program Transformations for ML Workshop at NeurIPS 2019, 2019 | 33 | 2019 |
| Forecasting black sigatoka infection risks with latent neural odes Y Wang, MC Chee, Z Edher, MD Hoang, S Fujimori, S Kathirgamanathan, ... arXiv preprint arXiv:2012.00752, 2020 | 6 | 2020 |
| Joint importance sampling for variational inference J Klys, J Bettencourt, D Duvenaud | 2 | 2018 |
