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Chenlin Meng

  1. SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
    2021/08/02 by Chenlin Meng, Yutong He, Meng, Chenlin +11 · 1 voice · 266 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Generative Adversarial Networks and Image Synthesis #Computer Graphics and Visualization Techniques #Cell Image Analysis Techniques
  2. Denoising Diffusion Implicit Models
    2020/10/06 by Jiaming Song, Chenlin Meng, Song, Jiaming +3 · 1597 citations
    Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Music and Audio Processing
  3. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
    2022/06/09 by Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448 · 3 voices · 156 citations
    #cs.CL #cs.AI #cs.CY #cs.LG #stat.ML
  4. Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
    2023/10/25 by Aaron Lou, Lou, Aaron, Chenlin Meng +3 · 167 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
  5. On Distillation of Guided Diffusion Models
    2022/10/06 by Chenlin Meng, Meng, Chenlin, Ruiqi Gao +10 · 110 citations
    Medicine · Computer Science · #Advanced Neuroimaging Techniques and Applications #Generative Adversarial Networks and Image Synthesis #Advanced Mathematical Modeling in Engineering
  6. Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
    2024/01/22 by Ling Yang, Zhaochen Yu, Yang, Ling +9 · 1 voice · 43 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #cs.AI #cs.CV #cs.LG
  7. SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
    2024/11/07 by Muyang Li, Li, Muyang, Yujun Lin +17 · 1 voice · 44 citations
    #cs.CV #cs.LG
  8. Concrete Score Matching: Generalized Score Matching for Discrete Data
    2022/11/02 by Chenlin Meng, Meng, Chenlin, Kristy Choi +5 · 32 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
  9. AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
    2024/10/04 by Wenhao Chai, Chai, Wenhao, Enxin Song +15 · 38 citations
    Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Video Analysis and Summarization
  10. Consistency Flow Matching: Defining Straight Flows with Velocity Consistency
    2024/07/02 by Ling Yang, Yang, Ling, Zixiang Zhang +15 · 30 citations
    Computer Science · #Artificial Intelligence in Games #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Time Series Analysis and Forecasting
  11. Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving
    2020/02/10 by Yang Song, Song, Yang, Chenlin Meng +6 · 10 citations
    Computer Science · Engineering · Physics and Astronomy · #Advanced Neural Network Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  12. Estimating High Order Gradients of the Data Distribution by Denoising
    2021/11/08 by Chenlin Meng, Meng, Chenlin, Yang Song +5 · 11 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Density Ratio Estimation via Infinitesimal Classification
    2021/11/22 by Kristy Choi, Choi, Kristy, Chenlin Meng +5 · 9 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
  14. Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
    2022/11/03 by Muyang Li, Li, Muyang, Ji Lin +9 · 7 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Graphics (cs.GR) #Machine Learning (cs.LG)
  15. Gaussianization Flows
    2020/03/04 by Chenlin Meng, Meng, Chenlin, Jiaming Song +4 · 6 citations
    Computer Science · #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning and Data Classification
  16. DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling
    2023/11/28 by Linqi Zhou, Zhou, Linqi, Andy Shih +5 · 7 citations
    Computer Science · #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Video Analysis and Summarization
  17. D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
    2021/06/12 by Abhishek Sinha, Sinha, Abhishek, Jiaming Song +5 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  18. MintNet: Building Invertible Neural Networks with Masked Convolutions
    2019/07/18 by Yang Song, Song, Yang, Chenlin Meng +3 · 3 citations
    Computer Science · Physics and Astronomy · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
  19. IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling
    2021/12/16 by Chenlin Meng, Enci Liu, Meng, Chenlin +11 · 1 citation
    Computer Science · Engineering · #Automated Road and Building Extraction #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Remote-Sensing Image Classification #Video Surveillance and Tracking Methods
  20. ButterflyFlow: Building Invertible Layers with Butterfly Matrices
    2022/09/28 by Chenlin Meng, Linqi Zhou, Meng, Chenlin +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques
  21. Generalizing Bayesian Optimization with Decision-theoretic Entropies
    2022/10/04 by Willie Neiswanger, Neiswanger, Willie, Lantao Yu +7 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Target Tracking and Data Fusion in Sensor Networks