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 (NeurIPS, 2022)

Activation Regression for Continuous Domain Generalization with Applications to Crop Classification. - Samar Khanna; Bram Wallace; Kavita Bala; Bharath Hariharan (CoRR, 2022)

Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting. - Rylan Schaeffer; Kateryna Pistunova; Samar Khanna; Sarthak Consul; Sanmi Koyejo (CoRR, 2023)

Differentiable Weight Masks for Domain Transfer. - Samar Khanna; Skanda Vaidyanath; Akash Velu (CoRR, 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 (ICLR, 2024)

GeoLLM: Extracting Geospatial Knowledge from Large Language Models. - Rohin Manvi; Samar Khanna; Gengchen Mai; Marshall Burke; David B. Lobell; Stefano Ermon (ICLR, 2024)

Denoising Diffusion Bridge Models. - Linqi Zhou; Aaron Lou; Samar Khanna; Stefano Ermon (ICLR, 2024)

Large Language Models are Geographically Biased. - Rohin Manvi; Samar Khanna; Marshall Burke; David B. Lobell; Stefano Ermon (ICML, 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)

ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts. - Samar Khanna; Medhanie Irgau; David B. Lobell; Stefano Ermon (CoRR, 2024)

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 (ICLR, 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, 2025)