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Chenlin Meng
Chenlin Meng
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Title
Cited by
Cited by
Year
Denoising diffusion implicit models
J Song, C Meng, S Ermon
International Conference on Learning Representations, 2020
39622020
Sdedit: Guided image synthesis and editing with stochastic differential equations
C Meng, Y He, Y Song, J Song, J Wu, JY Zhu, S Ermon
arXiv preprint arXiv:2108.01073, 2021
11322021
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
8632022
On distillation of guided diffusion models
C Meng, R Rombach, R Gao, D Kingma, S Ermon, J Ho, T Salimans
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2642023
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
2062021
Dual diffusion implicit bridges for image-to-image translation
X Su, J Song, C Meng, S Ermon
arXiv preprint arXiv:2203.08382, 2022
1452022
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
1302022
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
1182021
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
852019
Mintnet: Building invertible neural networks with masked convolutions
Y Song, C Meng, S Ermon
Advances in Neural Information Processing Systems 32, 2019
752019
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
58*2019
Sustainbench: Benchmarks for monitoring the sustainable development goals with machine learning
C Yeh, C Meng, S Wang, A Driscoll, E Rozi, P Liu, J Lee, M Burke, ...
Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021
512021
Holistic evaluation of text-to-image models
T Lee, M Yasunaga, C Meng, Y Mai, JS Park, A Gupta, Y Zhang, ...
Advances in Neural Information Processing Systems 36, 2024
472024
Gaussianization flows
C Meng, Y Song, J Song, S Ermon
International Conference on Artificial Intelligence and Statistics, 4336-4345, 2020
332020
Density ratio estimation via infinitesimal classification
K Choi, C Meng, Y Song, S Ermon
International Conference on Artificial Intelligence and Statistics, 2552-2573, 2022
322022
Accelerating feedforward computation via parallel nonlinear equation solving
Y Song, C Meng, R Liao, S Ermon
International Conference on Machine Learning, 9791-9800, 2021
29*2021
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
282021
Concrete Score Matching: Generalized Score Matching for Discrete Data
C Meng, K Choi, J Song, S Ermon
Advances in Neural Information Processing Systems, 2022
262022
Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms
L Yang, Z Yu, C Meng, M Xu, S Ermon, CUI Bin
Forty-first International Conference on Machine Learning, 2024
242024
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
222022
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