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 | 17 | 2019 |
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 | 16 | 2020 |
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 | 10 | 2019 |
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 | 3 | 2022 |
Week-ahead solar irradiance forecasting with deep sequence learning S Sinha, BM Hodge, C Monteleoni Environmental Data Science 1, e28, 2022 | 2 | 2022 |
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 | 1 | 2023 |
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 | 1 | 2021 |
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 |