123 citations · 212 across the 13 of their papers we have counts for
5 papers · 1 filter
DiffusionSat: A Generative Foundation Model for Satellite Imagery
Samar Khanna, Patrick Liu, Linqi Zhou +5
Diffusion models have achieved state-of-the-art results on many modalities including images, speech, and video. However, existing models are not tailored to support remote sensing…
GeoLLM: Extracting Geospatial Knowledge from Large Language Models
Rohin Manvi, Samar Khanna, Gengchen Mai +3
The application of machine learning (ML) in a range of geospatial tasks is increasingly common but often relies on globally available covariates such as satellite imagery that can…
Denoising Diffusion Bridge Models
Linqi Zhou, Aaron Lou, Samar Khanna +1
Diffusion models are powerful generative models that map noise to data using stochastic processes. However, for many applications such as image editing, the model input comes from…
Differentiable Weight Masks for Domain Transfer
Samar Khanna, Skanda Vaidyanath, Akash Velu
One of the major drawbacks of deep learning models for computer vision has been their inability to retain multiple sources of information in a modular fashion. For instance, given…
Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting
Rylan Schaeffer, Kateryna Pistunova, Samar Khanna +2
Language models can be prompted to reason through problems in a manner that significantly improves performance. However, \textit{why} such prompting improves performance is unclear…