| SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery Y Cong, S Khanna, C Meng, P Liu, E Rozi, Y He, M Burke, DB Lobell, ... Advances in Neural Information Processing Systems 2022, 2022 | 109 | 2022 |
| GeoLLM: Extracting Geospatial Knowledge from Large Language Models R Manvi, S Khanna, G Mai, M Burke, D Lobell, S Ermon The Twelfth International Conference on Learning Representations, 2023 | 15 | 2023 |
| DiffusionSat: A Generative Foundation Model for Satellite Imagery S Khanna, P Liu, L Zhou, C Meng, R Rombach, M Burke, D Lobell, ... The Twelfth International Conference on Learning Representations, 2023 | 11 | 2023 |
| Large Language Models are Geographically Biased R Manvi, S Khanna, M Burke, D Lobell, S Ermon arXiv preprint arXiv:2402.02680, 2024 | 7 | 2024 |
| Denoising Diffusion Bridge Models L Zhou, A Lou, S Khanna, S Ermon The Twelfth International Conference on Learning Representations, 2023 | 5 | 2023 |
| Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting R Schaeffer, K Pistunova, S Khanna, S Consul, S Koyejo ICML 2023 Workshop on Knowledge and Logical Reasoning in the Era of Data …, 2023 | 1 | 2023 |
| Differentiable Weight Masks for Domain Transfer S Khanna, S Vaidyanath, A Velu ICCV 2023 Workshop on Out of Distribution Generalization in Computer Vision, 2023 | | 2023 |
| Activation Regression for Continuous Domain Generalization with Applications to Crop Classification S Khanna, B Wallace, K Bala, B Hariharan arXiv preprint arXiv:2204.07030, 2022 | | 2022 |
| ME-MAML!: Multi-Label, Expert-Aided Meta-Learning for Chest X-ray Diagnosis M Hwang, S Khanna, T Sun | | |
