Jason Stock

According to our database, Jason Stock authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale.

Jason Stock, Kyle Hilburn, Imme Ebert-Uphoff, Charles W. Anderson

CoRR, 2024

DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations.

Jason Stock, Jaideep Pathak, Yair Cohen, Mike Pritchard, Piyush Garg, Dale R. Durran, Morteza Mardani, Noah D. Brenowitz

CoRR, 2024

2023

Memory-Based Sequential Attention.

Jason Stock, Charles Anderson

Proceedings of the Gaze Meets Machine Learning Workshop, 2023

2022

An Interpretable Model of Climate Change Using Correlative Learning.

Charles W. Anderson, Jason Stock

CoRR, 2022

Attention-Based Scattering Network for Satellite Imagery.

Jason Stock, Chuck Anderson

CoRR, 2022

Interpretable Climate Change Modeling With Progressive Cascade Networks.

Charles Anderson, Jason Stock, David Anderson

CoRR, 2022

Trainable Wavelet Neural Network for Non-Stationary Signals.

Jason Stock, Chuck Anderson

CoRR, 2022

2021

CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences - Version 1.

Imme Ebert-Uphoff, Ryan Lagerquist, Kyle Hilburn, Yoonjin Lee, Katherine Haynes, Jason Stock, Christina Kumler, Jebb Q. Stewart

CoRR, 2021

Who's a Good Boy? Reinforcing Canine Behavior in Real-Time using Machine Learning.

Jason Stock, Tom Cavey

CoRR, 2021

2020

Strategies for Robust Image Classification.

Jason Stock, Andy Dolan, Tom Cavey

CoRR, 2020