Publications

2026

1. E&B

   Conditional Distribution Estimation of Building Characteristics with Diffusion Models for Urban Energy Modeling

   Saumya Sinha, Alexandre Cortiella, Rawad El Kontar, and 3 more authors

   Energy and Buildings Mar 2026

   Bib HTML

   @article{sinha2026conditional_eb,
     title = {Conditional Distribution Estimation of Building Characteristics with Diffusion Models for Urban Energy Modeling},
     author = {Sinha, Saumya and Cortiella, Alexandre and {El Kontar}, Rawad and Glaws, Andrew and King, Ryan N. and Emami, Patrick},
     journal = {Energy and Buildings},
     year = {2026},
     month = mar,
     doi = {10.1016/j.enbuild.2026.117392},
     note = {Published in Energy and Buildings. Applies conditional diffusion models to estimate building characteristic distributions for urban energy modeling.}
   }

2. DICE

   Conditional Distribution Estimation of Building Characteristics with Diffusion Models for Urban Energy Modeling

   Saumya Sinha, Alexandre Cortiella, Rawad El Kontar, and 3 more authors

   In 2026 Digital Engineering Conference (DICE) Mar 2026

   Bib

   @inproceedings{sinha2026dice,
     title = {Conditional Distribution Estimation of Building Characteristics with Diffusion Models for Urban Energy Modeling},
     author = {Sinha, Saumya and Cortiella, Alexandre and {El Kontar}, Rawad and Glaws, Andrew and King, Ryan N. and Emami, Patrick},
     booktitle = {2026 Digital Engineering Conference (DICE)},
     year = {2026},
     note = {To be presented.}
   }

2025

1. EnvDS

   On the effectiveness of neural operators at zero-shot weather downscaling

   Saumya Sinha, Brandon Benton, and Patrick Emami

   Environmental Data Science Mar 2025

   Bib HTML

   @article{sinha2025effectiveness,
     title = {On the effectiveness of neural operators at zero-shot weather downscaling},
     author = {Sinha, Saumya and Benton, Brandon and Emami, Patrick},
     journal = {Environmental Data Science},
     volume = {4},
     pages = {e21},
     year = {2025},
     publisher = {Cambridge University Press},
     note = {Discusses the trade-offs between Neural Operators and Transformers for super-resolution.}
   }

2. AAAI-W

   On the Effectiveness of Neural Operators at Zero-Shot Weather Downscaling

   Saumya Sinha, Brandon Benton, and Patrick Emami

   In AAAI 2025 Workshop on AI to Accelerate Science and Engineering Mar 2025

   Bib HTML

   @inproceedings{sinha2025effectiveness_aaai,
     title = {On the Effectiveness of Neural Operators at Zero-Shot Weather Downscaling},
     author = {Sinha, Saumya and Benton, Brandon and Emami, Patrick},
     booktitle = {AAAI 2025 Workshop on AI to Accelerate Science and Engineering},
     year = {2025},
   }

3. ICLR

   SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems

   Patrick Emami, Zhaonan Li, Saumya Sinha, and 1 more author

   In The Thirteenth International Conference on Learning Representations Mar 2025

   Bib HTML

   @inproceedings{emami2025syscaps,
     title = {SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems},
     author = {Emami, Patrick and Li, Zhaonan and Sinha, Saumya and Nguyen, Truc},
     booktitle = {The Thirteenth International Conference on Learning Representations},
     year = {2025},
   }

2024

1. NeurIPS-W

   SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems

   Patrick Emami, Zhaonan Li, Saumya Sinha, and 1 more author

   In Neurips 2024 Workshop Foundation Models for Science: Progress, Opportunities, and Challenges Mar 2024

   Bib HTML

   @inproceedings{emami2024syscaps,
     title = {SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems},
     author = {Emami, Patrick and Li, Zhaonan and Sinha, Saumya and Nguyen, Truc},
     booktitle = {Neurips 2024 Workshop Foundation Models for Science: Progress, Opportunities, and Challenges},
     year = {2024},
   }

2. AIES

   Multidecadal Sea Level Prediction Using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data

   Saumya Sinha, John Fasullo, R Steven Nerem, and 1 more author

   Artificial Intelligence for the Earth Systems Mar 2024

   Bib HTML

   @article{sinha2024multidecadal,
     title = {Multidecadal Sea Level Prediction Using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data},
     author = {Sinha, Saumya and Fasullo, John and Nerem, R Steven and Monteleoni, Claire},
     journal = {Artificial Intelligence for the Earth Systems},
     volume = {3},
     number = {4},
     pages = {e230089},
     year = {2024},
     publisher = {American Meteorological Society},
   }

2023

1. ICLR-W

   Sea level Projections with Machine Learning using Altimetry and Climate Model ensembles

   Saumya Sinha, John Fasullo, RS Nerem, and 1 more author

   In ICLR 2023 Workshop on Tackling Climate Change with Machine Learning Mar 2023

   Bib HTML

   @inproceedings{sinha2023sealevel,
     title = {Sea level Projections with Machine Learning using Altimetry and Climate Model ensembles},
     author = {Sinha, Saumya and Fasullo, John and Nerem, RS and Monteleoni, Claire},
     booktitle = {ICLR 2023 Workshop on Tackling Climate Change with Machine Learning},
     year = {2023},
   }

2. AGU

   Self-supervised Representation Learning of Geospatial Imagery for Semantic Segmentation

   Saumya Sinha, A Ortiz, C Robinson, and 2 more authors

   In AGU Fall Meeting Abstracts Mar 2023

   Bib HTML

   @inproceedings{sinha2023selfsupervised,
     title = {Self-supervised Representation Learning of Geospatial Imagery for Semantic Segmentation},
     author = {Sinha, Saumya and Ortiz, A and Robinson, C and Dodhia, R and Ferres, J Lavista},
     booktitle = {AGU Fall Meeting Abstracts},
     volume = {2023},
     pages = {IN04--04},
     year = {2023},
   }

3. Thesis

   Harnessing Deep Learning to Address Climate Change Impacts and Sustainability Challenges

   Saumya Sinha

   Mar 2023

   Bib

   @phdthesis{sinha2023harnessing,
     title = {Harnessing Deep Learning to Address Climate Change Impacts and Sustainability Challenges},
     author = {Sinha, Saumya},
     school = {University of Colorado at Boulder},
     year = {2023},
   }

2022

1. EnvDS

   Week-ahead solar irradiance forecasting with deep sequence learning

   Saumya Sinha, BM Hodge, and Claire Monteleoni

   Environmental Data Science Mar 2022

   Bib HTML

   @article{sinha2022weekahead,
     title = {Week-ahead solar irradiance forecasting with deep sequence learning},
     author = {Sinha, Saumya and Hodge, BM and Monteleoni, Claire},
     journal = {Environmental Data Science},
     volume = {1},
     pages = {e28},
     year = {2022},
     publisher = {Cambridge University Press},
   }

2. AGU

   Sea-level projections via spatiotemporal deep learning from altimetry and cesm large ensembles

   Saumya Sinha, Claire Monteleoni, John Fasullo, and 1 more author

   In AGU Fall Meeting Abstracts Mar 2022

   Bib HTML

   @inproceedings{sinha2022sealevel_agu,
     title = {Sea-level projections via spatiotemporal deep learning from altimetry and cesm large ensembles},
     author = {Sinha, Saumya and Monteleoni, Claire and Fasullo, John and Nerem, RS},
     booktitle = {AGU Fall Meeting Abstracts},
     volume = {2022},
     pages = {OS36A--05},
     year = {2022},
   }

3. OSTST

   Understanding Forced Climate Signals in the 30-year Satellite Altimeter Sea Level Record

   RS Nerem, J Fasullo, C Monteleoni, and 1 more author

   In 2022 Ocean Surface Topography Science Team Meeting Mar 2022

   Bib

   @inproceedings{nerem2022understanding,
     title = {Understanding Forced Climate Signals in the 30-year Satellite Altimeter Sea Level Record},
     author = {Nerem, RS and Fasullo, J and Monteleoni, C and Sinha, S},
     booktitle = {2022 Ocean Surface Topography Science Team Meeting},
     pages = {210},
     year = {2022},
   }

2021

1. NeurIPS-W

   Subseasonal Solar Power Forecasting via Deep Sequence Learning

   Saumya Sinha, BM Hodge, and Claire Monteleoni

   In NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning Mar 2021

   Bib HTML

   @inproceedings{sinha2021subseasonal,
     title = {Subseasonal Solar Power Forecasting via Deep Sequence Learning},
     author = {Sinha, Saumya and Hodge, BM and Monteleoni, Claire},
     booktitle = {NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning},
     year = {2021},
   }

2020

1. CI

   Variational autoencoder anomaly-detection of avalanche deposits in satellite SAR imagery

   Saumya Sinha, S Giffard-Roisin, F Karbou, and 4 more authors

   In Proceedings of the 10th International Conference on Climate Informatics Mar 2020

   Bib HTML

   @inproceedings{sinha2020variational,
     author = {Sinha, Saumya and Giffard-Roisin, S and Karbou, F and Deschatres, M and Karas, A and Eckert, N and others},
     booktitle = {Proceedings of the 10th International Conference on Climate Informatics},
     pages = {113--119},
     year = {2020},
     note = {Highly cited work establishing VAEs for cryospheric hazard detection.}
   }

2. EGU

   Detecting avalanche debris from SAR imaging: a comparison of convolutional neural networks and variational autoencoders

   Sophie Giffard-Roisin, Saumya Sinha, Fatima Karbou, and 4 more authors

   In EGU General Assembly Conference Abstracts Mar 2020

   Bib HTML

   @inproceedings{giffard2020detecting,
     author = {Giffard-Roisin, Sophie and Sinha, Saumya and Karbou, Fatima and Deschatres, Michael and Karas, Anna and Eckert, Nicolas and others},
     booktitle = {EGU General Assembly Conference Abstracts},
     pages = {9487},
     year = {2020},
   }

2019

1. CI

   Can avalanche deposits be effectively detected by deep learning on Sentinel-1 satellite SAR images?

   Saumya Sinha, S Giffard-Roisin, F Karbou, and 4 more authors

   In Climate Informatics Mar 2019

   Bib HTML

   @inproceedings{sinha2019can,
     title = {Can avalanche deposits be effectively detected by deep learning on Sentinel-1 satellite SAR images?},
     author = {Sinha, Saumya and Giffard-Roisin, S and Karbou, F and Deschatres, M and Karas, A and Eckert, N and others},
     booktitle = {Climate Informatics},
     year = {2019},
   }

2. NeurIPS-W

   Detecting avalanche deposits using variational autoencoder on Sentinel-1 satellite imagery

   Saumya Sinha, S Giffard-Roisin, F Karbou, and 4 more authors

   In NeurIPS 2019 Workshop: Tackling Climate Change with Machine Learning Mar 2019

   Bib HTML

   @inproceedings{sinha2019detecting,
     author = {Sinha, Saumya and Giffard-Roisin, S and Karbou, F and Desch{\^a}tres, M and Karas, A and Eckert, N and others},
     booktitle = {NeurIPS 2019 Workshop: Tackling Climate Change with Machine Learning},
     year = {2019},
   }