Here is my Google Scholar profile.
2024
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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
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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
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Denoising Diffusion Bridge Models
Linqi Zhou, Aaron Lou, Samar Khanna, and Stefano Ermon
In The Twelfth International Conference on Learning Representations , 2024
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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
2023
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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
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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
2022
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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
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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