Chenlin Meng

Most-cited papers

Denoising Diffusion Implicit Models
Jiaming Song, Chenlin Meng, Stefano Ermon
2020International Conference on Learning Representations14K citations
Semantic Scholar
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb +446 more
2022arXiv.org2,702 citations
Semantic Scholar
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Chenlin Meng, Yutong He, Yang Song, Jiaming Song +3 more
2021International Conference on Learning Representations2,509 citations
Semantic Scholar
On Distillation of Guided Diffusion Models
Chenlin Meng, Robin Rombach, Rui-Qi Gao, Diederik P. Kingma +3 more
2022Computer Vision and Pattern Recognition898 citations
Semantic Scholar
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
Aaron Lou, Chenlin Meng, Stefano Ermon
2023International Conference on Machine Learning863 citations
Semantic Scholar
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu +5 more
2022Neural Information Processing Systems735 citations Open access
Semantic Scholar
SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu +2 more
2021arXiv.org351 citations
Semantic Scholar
Geography-Aware Self-Supervised Learning
Kumar Ayush, Burak Uzkent, Chenlin Meng, K. Tanmay +3 more
2020IEEE International Conference on Computer Vision345 citations Open access
Semantic Scholar
Dual Diffusion Implicit Bridges for Image-to-Image Translation
Xu Su, Jiaming Song, Chenlin Meng, Stefano Ermon
2022International Conference on Learning Representations293 citations Open access
Semantic Scholar
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
Ling Yang, Zhao-Chen Yu, Chenlin Meng, Minkai Xu +2 more
2024International Conference on Machine Learning279 citations
Semantic Scholar
Holistic Evaluation of Text-To-Image Models
Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai +14 more
2023Neural Information Processing Systems231 citations
Semantic Scholar
DiffusionSat: A Generative Foundation Model for Satellite Imagery
Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng +4 more
2023International Conference on Learning Representations220 citations
Semantic Scholar
Concrete Score Matching: Generalized Score Matching for Discrete Data
Chenlin Meng, Kristy Choi, Jiaming Song, Stefano Ermon
2022Neural Information Processing Systems172 citations Open access
Semantic Scholar
D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation
Abhishek Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon
2021Neural Information Processing Systems149 citations
Semantic Scholar
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency
Ling Yang, Zi-Xiang Zhang, Zhilong Zhang, Xing-Chao Liu +5 more
2024arXiv.org118 citations
Semantic Scholar
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning
Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll +6 more
2021NeurIPS Datasets and Benchmarks100 citations
Semantic Scholar
Estimating High Order Gradients of the Data Distribution by Denoising
Chenlin Meng, Yang Song, Wenzhe Li, Stefano Ermon
2021Neural Information Processing Systems86 citations
Semantic Scholar
Predicting Economic Development using Geolocated Wikipedia Articles
Evan Sheehan, Chenlin Meng, M. Tan, Burak Uzkent +4 more
2019Knowledge Discovery and Data Mining85 citations Open access
Semantic Scholar
MintNet: Building Invertible Neural Networks with Masked Convolutions
Yang Song, Chenlin Meng, Stefano Ermon
2019Neural Information Processing Systems76 citations
Semantic Scholar
Density Ratio Estimation via Infinitesimal Classification
Kristy Choi, Chenlin Meng, Yang Song, Stefano Ermon
2021International Conference on Artificial Intelligence and Statistics74 citations
Semantic Scholar
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Mu-Yang Li, Ji Lin, Song Han, Chenlin Meng +2 more
2022IEEE Transactions on Pattern Analysis and Machine Intelligence67 citations Open access
Semantic Scholar
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving
Yang Song, Chenlin Meng, Renjie Liao, Stefano Ermon
2020International Conference on Machine Learning58 citations
Semantic Scholar
Gaussianization Flows
Chenlin Meng, Yang Song, Jiaming Song, Stefano Ermon
2020International Conference on Artificial Intelligence and Statistics41 citations
Semantic Scholar
Learning to Interpret Satellite Images Using Wikipedia
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang +3 more
2018International Joint Conference on Artificial Intelligence39 citations Open access
Semantic Scholar
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis
Yutong He, Ding-Jie Wang, Nicholas Lai, William Zhang +4 more
2021Neural Information Processing Systems36 citations
Semantic Scholar
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
A. Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon
2021arXiv.org32 citations
Semantic Scholar
Learning to Interpret Satellite Images in Global Scale Using Wikipedia
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang +3 more
2019arXiv.org31 citations
Semantic Scholar
IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling
Chenlin Meng, En-Ci Liu, Willie Neiswanger, Jiaming Song +3 more
2021AAAI Conference on Artificial Intelligence30 citations Open access
Semantic Scholar
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling
Linqi Zhou, Andy Shih, Chenlin Meng, Stefano Ermon
2023Computer Vision and Pattern Recognition25 citations Open access
Semantic Scholar
Improved Autoregressive Modeling with Distribution Smoothing
Chenlin Meng, Jiaming Song, Yang Song, Sheng-Jia Zhao +1 more
2021International Conference on Learning Representations24 citations
Semantic Scholar
Autoregressive Score Matching
Chenlin Meng, Lan-Tao Yu, Yang Song, Jiaming Song +1 more
2020Neural Information Processing Systems17 citations
Semantic Scholar
Generalizing Bayesian Optimization with Decision-theoretic Entropies
Willie Neiswanger, Lan-Tao Yu, Sheng-Jia Zhao, Chenlin Meng +1 more
2022Neural Information Processing Systems16 citations Open access
Semantic Scholar
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
Chenlin Meng, Linqi Zhou, Kristy Choi, Tri Dao +1 more
2022International Conference on Machine Learning13 citations Open access
Semantic Scholar
Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation
Yang Song, Chenlin Meng, Renjie Liao, Stefano Ermon
2020arXiv.org9 citations
Semantic Scholar
SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution
Gengchen Mai, Ni Lao, Wei-Wei Sun, Yuchi Ma +6 more
2023arXiv.org8 citations Open access
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HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing
Jonathan Xu, A. Elmustafa, L. Weldegebriel, Emnet Negash +4 more
20232024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)6 citations
Semantic Scholar
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
Michael Poli, Winnie Xu, Stefano Massaroli, Chenlin Meng +2 more
2022Neural Information Processing Systems6 citations Open access
Semantic Scholar
Building Coverage Estimation with Low-resolution Remote Sensing Imagery
En-Ci Liu, Chenlin Meng, Matthew Kolodner, Eun Jee Sung +4 more
2023arXiv.org4 citations Open access
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Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution
Yutong He, William Zhang, Chenlin Meng, M. Burke +2 more
2022arXiv.org3 citations Open access
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DistillKac: Few-Step Image Generation via Damped Wave Equations
Weiqiao Han, Chenlin Meng, Christopher D. Manning, Stefano Ermon
2025arXiv.org2 citations
Semantic Scholar
SIGGRAPH 2023 Course on Diffusion Models
Chenlin Meng, Jiaming Song, Shuang Li, Jun-Yan Zhu +4 more
2023SIGGRAPH Courses1 citations
Semantic Scholar
Deep Adaptive Discriminate Siamese Network with Multi-Level Response for Visual Object Tracking
Yi-Chen Wang, Zhaoyong Mao, Xin Wang, Jing Ren +2 more
20232023 3rd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)0 citations
Semantic Scholar
CS 348B Report: Rendering Cotton Candy
Chenlin Meng, H. Teo, Jiren Zhu
20180 citations
Semantic Scholar