Kin G. Olivares

According to our database, Kin G. Olivares authored at least 8 papers between 2021 and 2023.

Collaborative distances:

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

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

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

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

2021

Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures.

Kin G. Olivares, Nganba Meetei, Ruijun Ma, Rohan Reddy, Mengfei Cao

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

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