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ORCIDCristian Challu
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2020 – today
- 2024
[i11]Willa Potosnak, Cristian Challu, Mononito Goswami, Michal Wilinski, Nina Zukowska, Artur Dubrawski:
Implicit Reasoning in Deep Time Series Forecasting. CoRR abs/2409.10840 (2024)- 2023
- [c3]Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramírez, Max Mergenthaler Canseco, Artur Dubrawski:
NHITS: Neural Hierarchical Interpolation for Time Series Forecasting. AAAI 2023: 6989-6997 - [c2]Mononito Goswami, Cristian I. Challu, Laurent Callot, Lenon Minorics, Andrey Kan:
Unsupervised Model Selection for Time Series Anomaly Detection. ICLR 2023 - [i10]Kin G. Olivares, David Luo, Cristian Challu, Stefania La Vattiata, Max Mergenthaler, Artur Dubrawski:
HINT: Hierarchical Mixture Networks For Coherent Probabilistic Forecasting. CoRR abs/2305.07089 (2023) - [i9]Willa Potosnak, Cristian Challu, Kin G. Olivares, Artur Dubrawski:
Forecasting Response to Treatment with Deep Learning and Pharmacokinetic Priors. CoRR abs/2309.13135 (2023) - 2022
- [c1]Cristian I. Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot:
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection. AISTATS 2022: 1643-1654 - [i8]Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza, Max Mergenthaler, Artur Dubrawski:
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting. CoRR abs/2201.12886 (2022) - [i7]Cristian Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot:
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection. CoRR abs/2202.07586 (2022) - [i6]Kin G. Olivares, Federico Garza, David Luo, Cristian Challu, Max Mergenthaler, Artur Dubrawski:
HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python. CoRR abs/2207.03517 (2022) - [i5]Mononito Goswami, Cristian Challu, Laurent Callot, Lenon Minorics, Andrey Kan:
Unsupervised Model Selection for Time-series Anomaly Detection. CoRR abs/2210.01078 (2022) - [i4]Cristian Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot:
SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data. CoRR abs/2210.12515 (2022) - 2021
- [i3]Kin G. Olivares, Cristian Challu, Grzegorz Marcjasz, Rafal Weron, Artur Dubrawski:
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. CoRR abs/2104.05522 (2021) - [i2]Cristian Challu, Kin G. Olivares, Gus Welter, Artur Dubrawski:
DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting. CoRR abs/2106.05860 (2021)
2010 – 2019
- 2018
- [i1]Kin Gutierrez, Jin Li, Cristian Challu, Artur Dubrawski:
Double Adaptive Stochastic Gradient Optimization. CoRR abs/1811.02525 (2018)
Coauthor Index
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