Sotabase

Career

· AI Research Scientist, Amazon2021–2022
· Analyst, Auton Lab, Carnegie Mellon University2019–2024
· Ph.D. in Machine Learning, Carnegie Mellon University2019–2024
· CSO & Co-Founder, Nixtla2019–
· Data Scientist, Orax2018–2019
· Research Assistant, ITAM2017–2018
· Financial Researcher, Banco de Mexico
· B.A. in Economics, Instituto Tecnológico Autónomo de México (ITAM)
· B.S. in Applied Mathematics, Instituto Tecnológico Autónomo de México (ITAM)
· Master's Degree, Instituto Tecnológico Autónomo de México (ITAM)

Publications (19)

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
TimeGPT-1
2023
194
cited
Unsupervised Model Selection for Time-series Anomaly Detection
International Conference on Learning Representations · 2022
36
cited
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection
International Conference on Artificial Intelligence and Statistics · 2022
31
cited
The Quality of Vote Tallies: Causes and Consequences
American Political Science Review · 2020
8
cited
Implicit Reasoning in Deep Time Series Forecasting
arXiv.org · 2024
6
cited
Investigating Compositional Reasoning in Time Series Foundation Models
arXiv.org · 2025
5
cited
DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting
arXiv.org · 2021
2
cited
Explosion Discrimination Using Seismic Gradiometry and Spectral Filtering of Data
2021
2
cited
Global Deep Forecasting with Patient-Specific Pharmacokinetics
ACM Conference on Health, Inference, and Learning · 2023
1
cited
SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data
arXiv.org · 2022
1
cited
Transferability of Neural Forecast Models
1
cited
DASGrad: Double Adaptive Stochastic Gradient
2019
Double Adaptive Stochastic Gradient Optimization
arXiv.org · 2018
Explosion Discrimination Using Seismic Gradiometry and Spectrally Filtered Principal Components: Controlled Field Experiments
Bulletin of The Seismological Society of America (BSSA) · 2022
Hierarchically Coherent Multivariate Mixture Networks
2023
PSR_2000039 1071..1085
2020
Representing Time: Towards Pragmatic Multivariate Time Series Modeling
2024
Sotabase
Cristian Challu | Researcher Profile | Sotabase | Sotabase