| N-BEATS: Neural basis expansion analysis for interpretable time series forecasting BN Oreshkin, D Carpov, N Chapados, Y Bengio arXiv preprint arXiv:1905.10437, 2019 | 986 | 2019 |
| Meta-learning framework with applications to zero-shot time-series forecasting BN Oreshkin, D Carpov, N Chapados, Y Bengio Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9242-9250, 2021 | 85 | 2021 |
| N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. arXiv 2019 BN Oreshkin, D Carpov, N Chapados, Y Bengio arXiv preprint arXiv:1905.10437, 2019 | 39 | 2019 |
| N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. arXiv preprint arXiv: 190510437. 2019. 10.48550 BN Oreshkin, D Carpov, N Chapados, Y Bengio arxiv, 1905 | 7 | 1905 |
| NBEATS: Neural basis expansion analysis for interpretable time series forecasting. CoRR abs/1905.10437 (2019) BN Oreshkin, D Carpov, N Chapados, Y Bengio arXiv preprint arXiv:1905.10437, 2019 | 6 | 2019 |
| Neural network execution block using fully connected layers B Oreshkin, D Carpov US Patent 11,922,294, 2024 | | 2024 |
| Neural network execution block and transfer learning B Oreshkin, D Carpov US Patent 11,526,733, 2022 | | 2022 |
| Covariate processing with neural network execution blocks D Wong, D Carpov, N Chapados US Patent App. 17/085,555, 2022 | | 2022 |
Boris N. OreshkinPrincipal Scientist at AmazonПодтвержден адрес электронной почты в домене amazon.com
