@article{explora2024,title={ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts},author={Khanna, Samar and Irgau, Medhanie and Lobell, David B. and Ermon, Stefano},journal={arXiv preprint arXiv:2406.10973},year={2024},}
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
@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},}
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
@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},}
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
@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},}
Denoising Diffusion Bridge Models
Linqi Zhou, Aaron Lou, Samar Khanna, and Stefano Ermon
In The Twelfth International Conference on Learning Representations , 2024
@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},}
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data
Jeremy Andrew Irvin, Emily Ruoyu Liu, Joyce Chuyi Chen, Ines Dormoy, Jinyoung Kim, Samar Khanna, Zhuo Zheng, and Stefano Ermon
@article{teochat2024,title={TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data},author={Irvin, Jeremy Andrew and Liu, Emily Ruoyu and Chen, Joyce Chuyi and Dormoy, Ines and Kim, Jinyoung and Khanna, Samar and Zheng, Zhuo and Ermon, Stefano},journal={arXiv preprint arXiv:2410.06234},year={2024},}
2023
Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting
@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},}
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
@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
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
@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},}
Activation Regression for Continuous Domain Generalization with Applications to Crop Classification
Samar Khanna, Bram Wallace, Kavita Bala, and Bharath Hariharan
@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},}