Jason Stock

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Convex Loss Functions

Bregman Divergences

Top Venues

Publications

Jason Stock, Kyle Hilburn, Imme Ebert-Uphoff, Charles W. Anderson
SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale. CoRR (2024)
Jason Stock, Jaideep Pathak, Yair Cohen, Mike Pritchard, Piyush Garg, Dale R. Durran, Morteza Mardani, Noah D. Brenowitz
DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations. CoRR (2024)
Jason Stock, Charles Anderson
Memory-Based Sequential Attention. Gaze Meets ML (2023)
Jason Stock, Chuck Anderson
Trainable Wavelet Neural Network for Non-Stationary Signals. CoRR (2022)
Jason Stock, Chuck Anderson
Attention-Based Scattering Network for Satellite Imagery. CoRR (2022)
Charles Anderson, Jason Stock, David Anderson
Interpretable Climate Change Modeling With Progressive Cascade Networks. CoRR (2022)
Charles W. Anderson, Jason Stock
An Interpretable Model of Climate Change Using Correlative Learning. CoRR (2022)
Jason Stock, Tom Cavey
Who's a Good Boy? Reinforcing Canine Behavior in Real-Time using Machine Learning. CoRR (2021)
Imme Ebert-Uphoff, Ryan Lagerquist, Kyle Hilburn, Yoonjin Lee, Katherine Haynes, Jason Stock, Christina Kumler, Jebb Q. Stewart
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences - Version 1. CoRR (2021)
Jason Stock, Andy Dolan, Tom Cavey
Strategies for Robust Image Classification. CoRR (2020)