Sotabase

Career

· PhD Student, Carnegie Mellon University Auton Lab2024–
· PhD in Machine Learning, Carnegie Mellon University2017–2023
· B.S. Applied Mathematics, ITAM2009–2015
· Amazon
· Software Engineer, AutonLab CMU
· Founder, Nixtla

Publications (18)

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting
AAAI Conference on Artificial Intelligence · 2022
377
cited
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx
International Journal of Forecasting · 2021
210
cited
Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures
International Journal of Forecasting · 2021
32
cited
HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python
arXiv.org · 2022
10
cited
Investigating Compositional Reasoning in Time Series Foundation Models
arXiv.org · 2025
5
cited
♠ SPADE ♠ Split Peak Attention DEcomposition
arXiv.org · 2024
4
cited
DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting
arXiv.org · 2021
2
cited
A More Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models
2025
1
cited
♣ CLOVER ♣: Probabilistic Forecasting with Coherent Learning Objective Reparameterization
Trans. Mach. Learn. Res. · 2024
1
cited
Global Deep Forecasting with Patient-Specific Pharmacokinetics
ACM Conference on Health, Inference, and Learning · 2023
1
cited
Probabilistic Forecasting with Coherent Aggregation
arXiv.org · 2023
1
cited
TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting
arXiv.org · 2025
1
cited
Transferability of Neural Forecast Models
1
cited
Effectively Leveraging Exogenous Information across Neural Forecasters
Forking-Sequences
arXiv.org · 2025
Hierarchically Coherent Multivariate Mixture Networks
2023
SPADE-S: A Sparsity-Robust Foundational Forecaster
arXiv.org · 2025
Zero-shot Forecasting by Simulation Alone
2026
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Kin Gutierrez | Researcher Profile | Sotabase | Sotabase