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)

Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures. - Kin G. Olivares; O. Nganba Meetei; Ruijun Ma; Rohan Reddy; Mengfei Cao (CoRR, 2021)

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)

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)

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)

♠ SPADE ♠ Split Peak Attention DEcomposition. - Malcolm Wolff; Kin G. Olivares; Boris N. Oreshkin; Sunny Ruan; Sitan Yang; Abhinav Katoch; Shankar Ramasubramanian; Youxin Zhang; Michael W. Mahoney; Dmitry Efimov; Vincent Quenneville-Bélair (CoRR, 2024)

♣ CLOVER ♣: Probabilistic Forecasting with Coherent Learning Objective Reparameterization. - Kin G. Olivares; Geoffrey Négiar; Ruijun Ma; Oinam Nganba Meetei; Mengfei Cao; Michael W. Mahoney (Trans. Mach. Learn. Res., 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)

TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting. - Zhiyuan Zhao 002; Sitan Yang; Kin G. Olivares; Boris N. Oreshkin; Stan Vitebsky; Michael W. Mahoney; B. Aditya Prakash; Dmitry Efimov (CoRR, 2025)

SPADE-S: A Sparsity-Robust Foundational Forecaster. - Malcolm Wolff; Matthew Li; Ravi Kiran Selvam; Hanjing Zhu; Kin G. Olivares; Ruijun Ma; Abhinav Katoch; Shankar Ramasubramanian; Mengfei Cao; Roberto Bandarra; Rahul Gopalsamy; Stefania La Vattiata; et al. (CoRR, 2025)