Samar Khanna

According to our database, Samar Khanna authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Large Language Models are Geographically Biased.

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

CoRR, 2024

2023

DiffusionSat: A Generative Foundation Model for Satellite Imagery.

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

CoRR, 2023

GeoLLM: Extracting Geospatial Knowledge from Large Language Models.

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

CoRR, 2023

Denoising Diffusion Bridge Models.

Linqi Zhou, Aaron Lou, Samar Khanna, Stefano Ermon

CoRR, 2023

Differentiable Weight Masks for Domain Transfer.

Samar Khanna, Skanda Vaidyanath, Akash Velu

CoRR, 2023

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

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

CoRR, 2023

2022

Activation Regression for Continuous Domain Generalization with Applications to Crop Classification.

Samar Khanna, Bram Wallace, Kavita Bala, Bharath Hariharan

CoRR, 2022

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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022