גישה ציבורית

Geography-aware self-supervised learning‏

K Ayush, B Uzkent, C Meng, K Tanmay, M Burke, D Lobell, S Ermon‏

Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021‏

הרשאות: US National Science Foundation, US Department of Defense, US Office of the …‏

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

הרשאות: US National Science Foundation, US Department of Defense, US Office of the …‏

D2c: Diffusion-decoding models for few-shot conditional generation‏

A Sinha, J Song, C Meng, S Ermon‏

Advances in Neural Information Processing Systems 34, 12533-12548, 2021‏

הרשאות: US National Science Foundation, US Department of Defense‏

[PDF] acm.org

Predicting economic development using geolocated wikipedia articles‏

E Sheehan, C Meng, M Tan, B Uzkent, N Jean, M Burke, D Lobell, ...‏

Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019‏

הרשאות: US National Science Foundation, US Department of Defense‏

Mintnet: Building invertible neural networks with masked convolutions‏

Y Song, C Meng, S Ermon‏

Advances in Neural Information Processing Systems 32, 2019‏

הרשאות: US National Science Foundation, US Department of Defense‏

[PDF] arxiv.org

Learning to interpret satellite images using wikipedia‏

B Uzkent, E Sheehan, C Meng, Z Tang, M Burke, D Lobell, S Ermon‏

Proceedings of the Twenty-Eighth International Joint Conference on …, 2019‏

הרשאות: US National Science Foundation, US Department of Defense‏

Density ratio estimation via infinitesimal classification‏

K Choi, C Meng, Y Song, S Ermon‏

International Conference on Artificial Intelligence and Statistics, 2552-2573, 2022‏

הרשאות: US National Science Foundation, US Department of Defense‏

Concrete Score Matching: Generalized Score Matching for Discrete Data‏

C Meng, K Choi, J Song, S Ermon‏

Advances in Neural Information Processing Systems, 2022‏

הרשאות: US National Science Foundation, US Department of Energy, US Department of …‏

Gaussianization flows‏

C Meng, Y Song, J Song, S Ermon‏

International Conference on Artificial Intelligence and Statistics, 4336-4345, 2020‏

הרשאות: US National Science Foundation, US Department of Defense‏

Efficient spatially sparse inference for conditional gans and diffusion models‏

M Li, J Lin, C Meng, S Ermon, S Han, JY Zhu‏

Advances in Neural Information Processing Systems, 2022‏

הרשאות: US National Science Foundation‏

Estimating high order gradients of the data distribution by denoising‏

C Meng, Y Song, W Li, S Ermon‏

Advances in Neural Information Processing Systems 34, 25359-25369, 2021‏

הרשאות: US National Science Foundation, US Department of Defense‏

Accelerating feedforward computation via parallel nonlinear equation solving‏

Y Song, C Meng, R Liao, S Ermon‏

International Conference on Machine Learning, 9791-9800, 2021‏

הרשאות: US National Science Foundation, US Department of Defense‏

Spatial-temporal super-resolution of satellite imagery via conditional pixel synthesis‏

Y He, D Wang, N Lai, W Zhang, C Meng, M Burke, D Lobell, S Ermon‏

Advances in Neural Information Processing Systems 34, 27903-27915, 2021‏

הרשאות: US National Science Foundation, US Department of Defense, US Office of the …‏

[PDF] aaai.org

Is-count: Large-scale object counting from satellite images with covariate-based importance sampling‏

C Meng, E Liu, W Neiswanger, J Song, M Burke, D Lobell, S Ermon‏

Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12034 …, 2022‏

הרשאות: US National Science Foundation, US Department of Energy, US Department of …‏

Butterflyflow: Building invertible layers with butterfly matrices‏

C Meng, L Zhou, K Choi, T Dao, S Ermon‏

International Conference on Machine Learning, 15360-15375, 2022‏

הרשאות: US National Science Foundation, US Department of Defense‏

Autoregressive score matching‏

C Meng, L Yu, Y Song, J Song, S Ermon‏

Advances in Neural Information Processing Systems 33, 6673-6683, 2020‏

הרשאות: US National Science Foundation, US Department of Defense‏

Generalizing Bayesian Optimization with Decision-theoretic Entropies‏

W Neiswanger, L Yu, S Zhao, C Meng, S Ermon‏

Advances in Neural Information Processing Systems, 2022‏

הרשאות: US National Science Foundation, US Department of Defense‏

Self-similarity priors: Neural collages as differentiable fractal representations‏

M Poli, W Xu, S Massaroli, C Meng, K Kim, S Ermon‏

Advances in Neural Information Processing Systems, 2022‏

הרשאות: US National Science Foundation, US Department of Energy, US Department of …‏

[PDF] nsf.gov