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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
57542020
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
14962021
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
11612022
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
3862023
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
2382021
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
2012022
Dual diffusion implicit bridges for image-to-image translation
X Su, J Song, C Meng, S Ermon
arXiv preprint arXiv:2203.08382, 2022
1832022
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
1412021
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
982024
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
912019
Mintnet: Building invertible neural networks with masked convolutions
Y Song, C Meng, S Ermon
Advances in Neural Information Processing Systems 32, 2019
822019
Denoising diffusion implicit models (2020)
J Song, C Meng, S Ermon
arXiv preprint arXiv:2010.02502, 2010
732010
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
672024
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
61*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
582021
Density ratio estimation via infinitesimal classification
K Choi, C Meng, Y Song, S Ermon
International Conference on Artificial Intelligence and Statistics, 2552-2573, 2022
432022
Diffusionsat: A generative foundation model for satellite imagery
S Khanna, P Liu, L Zhou, C Meng, R Rombach, M Burke, D Lobell, ...
arXiv preprint arXiv:2312.03606, 2023
402023
Concrete Score Matching: Generalized Score Matching for Discrete Data
C Meng, K Choi, J Song, S Ermon
Advances in Neural Information Processing Systems, 2022
402022
Discrete diffusion language modeling by estimating the ratios of the data distribution
A Lou, C Meng, S Ermon
382023
Gaussianization flows
C Meng, Y Song, J Song, S Ermon
International Conference on Artificial Intelligence and Statistics, 4336-4345, 2020
382020
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Articles 1–20