| 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 | 25 | 2020 |
| 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 | 19 | 2019 |
| 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 |
| SysCaps: Language interfaces for simulation surrogates of complex systems P Emami, Z Li, S Sinha, T Nguyen arXiv preprint arXiv:2405.19653, 2024 | 6 | 2024 |
| Week-ahead solar irradiance forecasting with deep sequence learning S Sinha, BM Hodge, C Monteleoni Environmental Data Science 1, e28, 2022 | 4 | 2022 |
| 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 |
| 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 | 2 | 2021 |
| On the effectiveness of neural operators at zero-shot weather downscaling S Sinha, B Benton, P Emami arXiv preprint arXiv:2409.13955, 2024 | 1 | 2024 |
| 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 |
| Multidecadal 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 Artificial Intelligence for the Earth Systems 3 (4), e230089, 2024 | | 2024 |
| Self-supervised Representation Learning of Geospatial Imagery for Semantic Segmentation S Sinha, A Ortiz, C Robinson, R Dodhia, J Lavista Ferres AGU Fall Meeting Abstracts 2023, IN04-04, 2023 | | 2023 |
| Harnessing Deep Learning to Address Climate Change Impacts and Sustainability Challenges S Sinha University of Colorado at Boulder, 2023 | | 2023 |
| Understanding Forced Climate Signals in the 30-year Satellite Altimeter Sea Level Record RS Nerem, J Fasullo, C Monteleoni, S Sinha 2022 Ocean Surface Topography Science Team Meeting, 210, 2022 | | 2022 |
| 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 |
| Learning to automatically detect avalanche deposition from SAR satellite imagery S Giffard-Roisin, S Sinha, N Eckert, M Dechartres, C Coléou, ... passages 1 (2), 3, 0 | | |
Sophie Giffard-RoisinISTerre, Université Grenoble Alpes, IRDVerifierad e-postadress på univ-grenoble-alpes.fr
Sophie Giffard-RoisinISTerre, Université Grenoble Alpes, IRDVerifierad e-postadress på univ-grenoble-alpes.fr