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2020 – today
- 2024
[i9]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 abs/2404.06517 (2024)- [i8]Jason Stock, Kyle Hilburn, Imme Ebert-Uphoff, Charles W. Anderson:
SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale. CoRR abs/2406.16955 (2024) - 2023
- [c1]Jason Stock, Charles Anderson:
Memory-Based Sequential Attention. Gaze Meets ML 2023: 236-253 - 2022
- [i7]Jason Stock, Chuck Anderson:
Trainable Wavelet Neural Network for Non-Stationary Signals. CoRR abs/2205.03355 (2022) - [i6]Charles Anderson, Jason Stock, David Anderson:
Interpretable Climate Change Modeling With Progressive Cascade Networks. CoRR abs/2205.06351 (2022) - [i5]Jason Stock, Chuck Anderson:
Attention-Based Scattering Network for Satellite Imagery. CoRR abs/2210.12185 (2022) - [i4]Charles W. Anderson, Jason Stock:
An Interpretable Model of Climate Change Using Correlative Learning. CoRR abs/2212.04478 (2022) - 2021
- [i3]Jason Stock, Tom Cavey:
Who's a Good Boy? Reinforcing Canine Behavior in Real-Time using Machine Learning. CoRR abs/2101.02380 (2021) - [i2]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 abs/2106.09757 (2021) - 2020
- [i1]Jason Stock, Andy Dolan, Tom Cavey:
Strategies for Robust Image Classification. CoRR abs/2004.03452 (2020)
Coauthor Index
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