Follow
Saumya Sinha
Title
Cited by
Cited by
Year
Can avalanche deposits be effectively detected by deep learning on Sentinel-1 satellite SAR images?
S Sinha, S Giffard-Roisin, F Karbou, M Deschatres, A Karas, N Eckert, ...
Climate informatics, 2019
172019
Variational autoencoder anomaly-detection of avalanche deposits in satellite sar imagery
S Sinha, S Giffard-Roisin, F Karbou, M Deschatres, A Karas, N Eckert, ...
Proceedings of the 10th International Conference on Climate Informatics, 113-119, 2020
162020
Detecting avalanche deposits using variational autoencoder on Sentinel-1 satellite imagery
S Sinha, S Giffard-Roisin, F Karbou, M Deschâtres, A Karas, N Eckert, ...
NeurIPS 2019 Workshop: Tackling Climate Change with Machine Learning NeurIPS …, 2019
102019
Sea-level projections via spatiotemporal deep learning from altimetry and cesm large ensembles
S Sinha, C Monteleoni, J Fasullo, RS Nerem
AGU Fall Meeting Abstracts 2022, OS36A-05, 2022
32022
Week-ahead solar irradiance forecasting with deep sequence learning
S Sinha, BM Hodge, C Monteleoni
Environmental Data Science 1, e28, 2022
22022
Sea level Projections with Machine Learning using Altimetry and Climate Model ensembles
S Sinha, J Fasullo, RS Nerem, C Monteleoni
ICLR 2023 Workshop on Tackling Climate Change with Machine Learning, 2023
12023
Subseasonal Solar Power Forecasting via Deep Sequence Learning
S Sinha, BM Hodge, C Monteleoni
Neurips 2021 workshop on Tackling Climate Change with Machine Learning, 2021
12021
Self-supervised Representation Learning of Geospatial Imagery for Semantic Segmentation
S Sinha, A Ortiz, C Robinson, R Dodhia, JL Ferres
AGU23, 2024
2024
Multi-decadal Sea Level Prediction using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data
S Sinha, J Fasullo, RS Nerem, C Monteleoni
arXiv preprint arXiv:2310.04540, 2023
2023
Harnessing Deep Learning to Address Climate Change Impacts and Sustainability Challenges
S Sinha
University of Colorado at Boulder, 2023
2023
Detecting avalanche debris from SAR imaging: a comparison of convolutional neural networks and variational autoencoders
S Giffard-Roisin, S Sinha, F Karbou, M Deschatres, A Karas, N Eckert, ...
EGU2020, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–11