Data-driven Surface Solar Irradiance Estimation using Neural Operators at Global Scale.
CoRR, 2024
Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts.
CoRR, 2024
Estimating treatment effects from single-arm trials via latent-variable modeling.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification.
CoRR, 2023
Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model.
CoRR, 2022
Seamless lightning nowcasting with recurrent-convolutional deep learning.
CoRR, 2022
Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network.
IEEE Trans. Geosci. Remote. Sens., 2021
Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast Challenge.
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021
Improvements to short-term weather prediction with recurrent-convolutional networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
HARK Side of Deep Learning - From Grad Student Descent to Automated Machine Learning.
CoRR, 2019
Modeling Radar Attenuation by a Low Melting Layer With Optimized Model Parameters at C-Band.
IEEE Trans. Geosci. Remote. Sens., 2015
Mapping Radar Reflectivity Values of Snowfall Between Frequency Bands.
IEEE Trans. Geosci. Remote. Sens., 2011
Modeling melting layer radar observations at GPM frequencies; comparison to measurements.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011