Cristian Challu

According to our database, Cristian Challu authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Implicit Reasoning in Deep Time Series Forecasting.

Willa Potosnak, Cristian Challu, Mononito Goswami, Michal Wilinski, Nina Zukowska, Artur Dubrawski

CoRR, 2024

2023

Forecasting Response to Treatment with Deep Learning and Pharmacokinetic Priors.

Willa Potosnak, Cristian Challu, Kin G. Olivares, Artur Dubrawski

CoRR, 2023

HINT: Hierarchical Mixture Networks For Coherent Probabilistic Forecasting.

Kin G. Olivares, David Luo, Cristian Challu, Stefania La Vattiata, Max Mergenthaler, Artur Dubrawski

CoRR, 2023

Unsupervised Model Selection for Time Series Anomaly Detection.

Mononito Goswami, Cristian I. Challu, Laurent Callot, Lenon Minorics, Andrey Kan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

NHITS: Neural Hierarchical Interpolation for Time Series Forecasting.

Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramírez, Max Mergenthaler Canseco, Artur Dubrawski

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data.

Cristian Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot

CoRR, 2022

HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python.

Kin G. Olivares, Federico Garza, David Luo, Cristian Challu, Max Mergenthaler, Artur Dubrawski

CoRR, 2022

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting.

Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza, Max Mergenthaler, Artur Dubrawski

CoRR, 2022

Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection.

Cristian I. Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting.

Cristian Challu, Kin G. Olivares, Gus Welter, Artur Dubrawski

CoRR, 2021

Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx.

Kin G. Olivares, Cristian Challu, Grzegorz Marcjasz, Rafal Weron, Artur Dubrawski

CoRR, 2021

2018

Double Adaptive Stochastic Gradient Optimization.

Kin Gutierrez, Jin Li, Cristian Challu, Artur Dubrawski

CoRR, 2018