Cristian Challu

14 papers A* 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Investigating Compositional Reasoning in Time Series Foundation Models. CoRR Willa Potosnak, Cristian Challu, Mononito Goswami, Kin G. Olivares, Michal Wilinski, Nina Zukowska, Artur Dubrawski
2024	J	`jnl`	Implicit Reasoning in Deep Time Series Forecasting. CoRR Willa Potosnak, Cristian Challu, Mononito Goswami, Michal Wilinski, Nina Zukowska, Artur Dubrawski
2024	—	`—`	Representing Time: Towards Pragmatic Multivariate Time Series Modeling Cristian Challu
2023	J	`jnl`	Forecasting Response to Treatment with Deep Learning and Pharmacokinetic Priors. CoRR Willa Potosnak, Cristian Challu, Kin G. Olivares, Artur Dubrawski
2023	J	`jnl`	HINT: Hierarchical Mixture Networks For Coherent Probabilistic Forecasting. CoRR Kin G. Olivares, David Luo, Cristian Challu, Stefania La Vattiata, Max Mergenthaler, Artur Dubrawski
2023	A*	`conf`	NHITS: Neural Hierarchical Interpolation for Time Series Forecasting. AAAI Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramírez, Max Mergenthaler Canseco, Artur Dubrawski
2022	J	`jnl`	Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection. CoRR Cristian Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot
2022	J	`jnl`	HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python. CoRR Kin G. Olivares, Federico Garza, David Luo, Cristian Challu, Max Mergenthaler, Artur Dubrawski
2022	J	`jnl`	N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting. CoRR Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza, Max Mergenthaler, Artur Dubrawski
2022	J	`jnl`	SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data. CoRR Cristian Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot
2022	J	`jnl`	Unsupervised Model Selection for Time-series Anomaly Detection. CoRR Mononito Goswami, Cristian Challu, Laurent Callot, Lenon Minorics, Andrey Kan
2021	J	`jnl`	DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting. CoRR Cristian Challu, Kin G. Olivares, Gus Welter, Artur Dubrawski
2021	J	`jnl`	Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. CoRR Kin G. Olivares, Cristian Challu, Grzegorz Marcjasz, Rafal Weron, Artur Dubrawski
2018	J	`jnl`	Double Adaptive Stochastic Gradient Optimization. CoRR Kin Gutierrez, Jin Li, Cristian Challu, Artur Dubrawski