publications

2024

1. 

   DiffusionSat: A Generative Foundation Model for Satellite Imagery

   Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, and Stefano Ermon

   In The Twelfth International Conference on Learning Representations , 2024

   arXiv Bib Code Website

   @inproceedings{diffusionsat2024,
     title = {DiffusionSat: A Generative Foundation Model for Satellite Imagery},
     author = {Khanna, Samar and Liu, Patrick and Zhou, Linqi and Meng, Chenlin and Rombach, Robin and Burke, Marshall and Lobell, David B. and Ermon, Stefano},
     booktitle = {The Twelfth International Conference on Learning Representations},
     year = {2024},
     url = {https://openreview.net/forum?id=I5webNFDgQ},
   }

2. 

   GeoLLM: Extracting Geospatial Knowledge from Large Language Models

   Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, and Stefano Ermon

   In The Twelfth International Conference on Learning Representations , 2024

   arXiv Bib

   @inproceedings{geollm2024,
     title = {Geo{LLM}: Extracting Geospatial Knowledge from Large Language Models},
     author = {Manvi, Rohin and Khanna, Samar and Mai, Gengchen and Burke, Marshall and Lobell, David B. and Ermon, Stefano},
     booktitle = {The Twelfth International Conference on Learning Representations},
     year = {2024},
     url = {https://openreview.net/forum?id=TqL2xBwXP3},
   }

3. 

   Denoising Diffusion Bridge Models

   Linqi Zhou, Aaron Lou, Samar Khanna, and Stefano Ermon

   In The Twelfth International Conference on Learning Representations , 2024

   arXiv Bib Code

   @inproceedings{ddbm2024,
     title = {Denoising Diffusion Bridge Models},
     author = {Zhou, Linqi and Lou, Aaron and Khanna, Samar and Ermon, Stefano},
     booktitle = {The Twelfth International Conference on Learning Representations},
     year = {2024},
     url = {https://openreview.net/forum?id=FKksTayvGo},
   }

4. 

   Large Language Models are Geographically Biased

   Rohin Manvi, Samar Khanna, Marshall Burke, David Lobell, and Stefano Ermon

   In Forty-first International Conference on Machine Learning , 2024

   arXiv Bib

   @inproceedings{llmbias2024,
     title = {Large Language Models are Geographically Biased},
     author = {Manvi, Rohin and Khanna, Samar and Burke, Marshall and Lobell, David and Ermon, Stefano},
     booktitle = {Forty-first International Conference on Machine Learning},
     year = {2024},
     url = {https://openreview.net/forum?id=sHtIStlg0v},
   }

2023

1. 

   Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting

   Rylan Schaeffer*, Kateryna Pistunova*, Samar Khanna*, Sarthak Consul*, and Sanmi Koyejo

   In ICML 2023 Workshop on Knowledge and Logical Reasoning in the Era of Data-driven Learning , 2023

   arXiv Bib

   @inproceedings{invalid2023,
     title = {Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting},
     author = {Schaeffer*, Rylan and Pistunova*, Kateryna and Khanna*, Samar and Consul*, Sarthak and Koyejo, Sanmi},
     booktitle = {ICML 2023 Workshop on Knowledge and Logical Reasoning in the Era of Data-driven Learning},
     year = {2023},
     url = {https://icml.cc/virtual/2023/27230},
   }

2. 

   Differentiable Weight Masks for Domain Transfer

   Samar Khanna*, Skanda Vaidyanath*, and Akash Velu*

   In ICCV 2023 Workshop on Out of Distribution Generalization in Computer Vision , 2023

   arXiv Bib

   @inproceedings{weightmask2023,
     title = {Differentiable Weight Masks for Domain Transfer},
     author = {Khanna*, Samar and Vaidyanath*, Skanda and Velu*, Akash},
     booktitle = {ICCV 2023 Workshop on Out of Distribution Generalization in Computer Vision},
     year = {2023},
     url = {http://www.ood-cv.org/paper.html},
   }

2022

1. 

   SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery

   Samar Khanna*, Yezhen Cong*, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David B. Lobell, and Stefano Ermon

   In Advances in Neural Information Processing Systems , 2022

   arXiv Bib Code Website

   @inproceedings{satmae2022,
     title = {Sat{MAE}: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery},
     author = {Khanna*, Samar and Cong*, Yezhen and Meng, Chenlin and Liu, Patrick and Rozi, Erik and He, Yutong and Burke, Marshall and Lobell, David B. and Ermon, Stefano},
     booktitle = {Advances in Neural Information Processing Systems},
     editor = {Oh, Alice H. and Agarwal, Alekh and Belgrave, Danielle and Cho, Kyunghyun},
     year = {2022},
     url = {https://openreview.net/forum?id=WBhqzpF6KYH},
   }

2. 

   Activation Regression for Continuous Domain Generalization with Applications to Crop Classification

   Samar Khanna, Bram Wallace, Kavita Bala, and Bharath Hariharan

   arXiv preprint arXiv:2204.07030, 2022

   arXiv Bib

   @article{khanna2022activation,
     title = {Activation Regression for Continuous Domain Generalization with Applications to Crop Classification},
     author = {Khanna, Samar and Wallace, Bram and Bala, Kavita and Hariharan, Bharath},
     journal = {arXiv preprint arXiv:2204.07030},
     year = {2022},
   }