Double Adaptive Stochastic Gradient Optimization. - Kin Gutierrez; Jin Li; Cristian Challu; Artur Dubrawski (CoRR, 2018)

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)

DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting. - Cristian Challu; Kin G. Olivares; Gus Welter; Artur Dubrawski (CoRR, 2021)

Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection. - Cristian I. Challu; Peihong Jiang; Ying Nian Wu; Laurent Callot (AISTATS, 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)

HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python. - Kin G. Olivares; Federico Garza; David Luo; Cristian Challu; Max Mergenthaler; Artur Dubrawski (CoRR, 2022)

SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data. - Cristian Challu; Peihong Jiang; Ying Nian Wu; Laurent Callot (CoRR, 2022)

NHITS: Neural Hierarchical Interpolation for Time Series Forecasting. - Cristian Challu; Kin G. Olivares; Boris N. Oreshkin; Federico Garza Ramírez; Max Mergenthaler Canseco; Artur Dubrawski (AAAI, 2023)

Unsupervised Model Selection for Time Series Anomaly Detection. - Mononito Goswami; Cristian I. Challu; Laurent Callot; Lenon Minorics; Andrey Kan (ICLR, 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)

Forecasting Response to Treatment with Deep Learning and Pharmacokinetic Priors. - Willa Potosnak; Cristian Challu; Kin G. Olivares; Artur Dubrawski (CoRR, 2023)

Implicit Reasoning in Deep Time Series Forecasting. - Willa Potosnak; Cristian Challu; Mononito Goswami; Michal Wilinski; Nina Zukowska; Artur Dubrawski (CoRR, 2024)

Representing Time: Towards Pragmatic Multivariate Time Series Modeling - Cristian Challu (2024)

Global Deep Forecasting with Patient-Specific Pharmacokinetics. - Willa Potosnak; Cristian I. Challu; Kin G. Olivares; Keith A. Dufendach; Artur Dubrawski (CHIL, 2025)

Investigating Compositional Reasoning in Time Series Foundation Models. - Willa Potosnak; Cristian Challu; Mononito Goswami; Kin G. Olivares; Michal Wilinski; Nina Zukowska; Artur Dubrawski (CoRR, 2025)