| A meta-analytic review of two modes of learning and the description-experience gap. DU Wulff, M Mergenthaler-Canseco, R Hertwig Psychological bulletin 144 (2), 140, 2018 | 269 | 2018 |
| 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 | 208 | 2023 |
| TimeGPT-1 A Garza, M Mergenthaler-Canseco arXiv preprint arXiv:2310.03589, 2023 | 33 | 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 |
| 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 |
| StatsForecast: lightning fast forecasting with statistical and econometric models. PyCon Salt Lake City, Utah, US 2022 (2022) F Garza, MM Canseco, C Challú, KG Olivares | 4 | |
| N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting (2022) C Challu, KG Olivares, BN Oreshkin, F Garza, M Mergenthaler-Canseco, ... arXiv preprint arXiv:2201.12886, 2022 | 3 | 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 |
| Was dürfen wir glauben? M Hoeltje, T Spitzley, W Spohn Was Sollen Wir tun, 2013 | 1 | 2013 |
| 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 |
| Componentes Principales: Las Dimensiones de la Confianza F Payró, KG Olivares, M Mergenthaler Laberintos e Infinitos 39, 35-41, 2015 | | 2015 |
Kin G. OlivaresCarnegie Mellon UniversityBestätigte E-Mail-Adresse bei cs.cmu.edu
