Samar Khanna

According to our database, Samar Khanna authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

2025

Squeezed Diffusion Models.

Jyotirmai Singh, Samar Khanna, James Burgess

CoRR, August, 2025

Mercury: Ultra-Fast Language Models Based on Diffusion.

Samar Khanna, Siddhant Kharbanda, Shufan Li, Harshit Varma, Eric Wang, Sawyer Birnbaum, Ziyang Luo, Yanis Miraoui, Akash Palrecha, Stefano Ermon, Aditya Grover, Volodymyr Kuleshov

CoRR, June, 2025

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, Stefano Ermon

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts.

Samar Khanna, Medhanie Irgau, David B. Lobell, Stefano Ermon

CoRR, 2024

SpotNet: An Image Centric, Lidar Anchored Approach To Long Range Perception.

Louis Foucard, Samar Khanna, Yi Shi, Chi-Kuei Liu, Quinn Z. Shen, Thuyen Ngo, Zi-Xiang Xia

CoRR, 2024

Large Language Models are Geographically Biased.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Denoising Diffusion Bridge Models.

Linqi Zhou, Aaron Lou, Samar Khanna, Stefano Ermon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GeoLLM: Extracting Geospatial Knowledge from Large Language Models.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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