| Nhits: Neural hierarchical interpolation for time series forecasting C Challu, KG Olivares, BN Oreshkin, FG Ramirez, MM Canseco, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6989-6997, 2023 | 223 | 2023 |
| Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx KG Olivares, C Challu, G Marcjasz, R Weron, A Dubrawski International Journal of Forecasting 39 (2), 884-900, 2023 | 83 | 2023 |
| StatsForecast: Lightning fast forecasting with statistical and econometric models F Garza, MM Canseco, C Challú, KG Olivares PyCon Salt Lake City, Utah, US 2022, 6, 2022 | 24 | 2022 |
| Probabilistic hierarchical forecasting with deep poisson mixtures KG Olivares, ON Meetei, R Ma, R Reddy, M Cao, L Dicker International Journal of Forecasting 40 (2), 470-489, 2024 | 15 | 2024 |
| NeuralForecast: User friendly state-of-the-art neural forecasting models KG Olivares, C Challú, F Garza, MM Canseco, A Dubrawski PyCon Salt Lake City, Utah, US 2022, 6, 2022 | 8 | 2022 |
| N-hits: Neural hierarchical interpolation for time series forecasting. arXiv 2022 C Challu, KG Olivares, BN Oreshkin, F Garza, M Mergenthaler, ... arXiv preprint arXiv:2201.12886, 0 | 8 | |
| HierarchicalForecast: A reference framework for hierarchical forecasting in Python KG Olivares, F Garza, D Luo, C Challú, M Mergenthaler, SB Taieb, ... arXiv preprint arXiv:2207.03517, 2022 | 6 | 2022 |
| N-hits: Neural hierarchical interpolation for time series forecasting. arXiv C Challu, KG Olivares, BN Oreshkin, F Garza, M Mergenthaler, ... arXiv preprint arXiv:2201.12886, 2022 | 6 | 2022 |
| Hint: Hierarchical mixture networks for coherent probabilistic forecasting KG Olivares, D Luo, C Challu, S La Vattiata, M Mergenthaler, A Dubrawski arXiv preprint arXiv:2305.07089, 2023 | 2 | 2023 |
| DMIDAS: Deep mixed data sampling regression for long multi-horizon time series forecasting C Challu, KG Olivares, G Welter, A Dubrawski arXiv preprint arXiv:2106.05860, 2021 | 2 | 2021 |
| Forecasting Response to Treatment with Global Deep Learning and Patient-Specific Pharmacokinetic Priors W Potosnak, C Challu, KG Olivares, A Dubrawski ArXiv, 2023 | | 2023 |
| Forecasting Response to Treatment with Deep Learning and Pharmacokinetic Priors W Potosnak, C Challu, KG Olivares, A Dubrawski arXiv preprint arXiv:2309.13135, 2023 | | 2023 |
| HINT: Hierarchical Coherent Networks For Constrained Probabilistic Forecasting KG Olivares, D Luo, CI Challu, S La Vattiata, MM Canseco, A Dubrawski ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023 | | 2023 |
| Applied Mathematics of the Future KG Olivares NASA, 2023 | | 2023 |
| Componentes Principales: Las Dimensiones de la Confianza F Payró, KG Olivares, M Mergenthaler Laberintos e Infinitos 39, 35-41, 2015 | | 2015 |
| WORking papers in Management Science KG Olivares, C Challu, G Marcjasz, R Weron, A Dubrawski | | |
