Strategies for Robust Image Classification. - Jason Stock; Andy Dolan; Tom Cavey (CoRR, 2020)

Who's a Good Boy? Reinforcing Canine Behavior in Real-Time using Machine Learning. - Jason Stock; Tom Cavey (CoRR, 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)

Trainable Wavelet Neural Network for Non-Stationary Signals. - Jason Stock; Chuck Anderson 001 (CoRR, 2022)

Interpretable Climate Change Modeling With Progressive Cascade Networks. - Charles Anderson 001; Jason Stock; David Anderson (CoRR, 2022)

Attention-Based Scattering Network for Satellite Imagery. - Jason Stock; Chuck Anderson 001 (CoRR, 2022)

An Interpretable Model of Climate Change Using Correlative Learning. - Charles W. Anderson; Jason Stock (CoRR, 2022)

Memory-Based Sequential Attention. - Jason Stock; Charles Anderson 001 (Gaze Meets ML, 2023)

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)

SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale. - Jason Stock; Kyle Hilburn; Imme Ebert-Uphoff; Charles W. Anderson (CoRR, 2024)

Multimodal Atmospheric Super-Resolution With Deep Generative Models. - Dibyajyoti Chakraborty; Haiwen Guan; Jason Stock; Troy Arcomano; Guido Cervone; Romit Maulik (CoRR, 2025)