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Jonathan Ho

  1. Classifier-Free Diffusion Guidance
    2022/07/26 by Jonathan Ho, Ho, Jonathan, Tim Salimans +1 · 792 citations
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Generative Adversarial Networks and Image Synthesis
  2. Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
    2022/05/23 by Chitwan Saharia, Saharia, Chitwan, William Chan +25 · 562 citations
    Computer Science · Social Sciences · #Computational and Text Analysis Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  3. Evolution Strategies as a Scalable Alternative to Reinforcement Learning
    2017/03/10 by Tim Salimans, Jonathan Ho, Salimans, Tim +7 · 1 voice · 83 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics #cs.AI #cs.LG #cs.NE #stat.ML
  4. Video Diffusion Models
    2022/04/07 by Jonathan Ho, Tim Salimans, Ho, Jonathan +9 · 304 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  5. Variational Diffusion Models
    2021/07/01 by Diederik P. Kingma, Tim Salimans, Kingma, Diederik P. +5 · 2 voices · 94 citations
    Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Music and Audio Processing #cs.LG #stat.ML
  6. Structured Denoising Diffusion Models in Discrete State-Spaces
    2021/07/07 by Jacob Austin, Austin, Jacob, Daniel D. Johnson +7 · 255 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Music and Audio Processing #Topic Modeling
  7. Generative Adversarial Imitation Learning
    2016/06/10 by Jonathan Ho, Ho, Jonathan, Stefano Ermon +1 · 163 citations
    Computer Science · Physics and Astronomy · #Reinforcement Learning in Robotics #Model Reduction and Neural Networks #Generative Adversarial Networks and Image Synthesis
  8. Image Super-Resolution via Iterative Refinement
    2021/04/15 by Chitwan Saharia, Saharia, Chitwan, Jonathan Ho +9 · 129 citations
    Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  9. Imagen Video: High Definition Video Generation with Diffusion Models
    2022/10/05 by Jonathan Ho, Ho, Jonathan, William Chan +19 · 145 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Computer Graphics and Visualization Techniques #Advanced Image Processing Techniques
  10. Palette: Image-to-Image Diffusion Models
    2021/11/10 by Chitwan Saharia, William Chan, Saharia, Chitwan +13 · 89 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques
  11. On Distillation of Guided Diffusion Models
    2022/10/06 by Chenlin Meng, Meng, Chenlin, Ruiqi Gao +10 · 90 citations
    Medicine · Computer Science · #Advanced Neuroimaging Techniques and Applications #Generative Adversarial Networks and Image Synthesis #Advanced Mathematical Modeling in Engineering
  12. Axial Attention in Multidimensional Transformers
    2019/12/20 by Jonathan Ho, Nal Kalchbrenner, Ho, Jonathan +5 · 37 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Medical Image Segmentation Techniques
  13. One-Shot Imitation Learning
    2017/03/21 by Yan Duan, Marcin Andrychowicz, Duan, Yan +13 · 22 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Robot Manipulation and Learning #Robotics (cs.RO)
  14. Novel View Synthesis with Diffusion Models
    2022/10/06 by Daniel Watson, Watson, Daniel, William Chan +9 · 19 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #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. Learning to Efficiently Sample from Diffusion Probabilistic Models
    2021/06/07 by Daniel Watson, Watson, Daniel, Jonathan Ho +5 · 12 citations
    Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #Generative Adversarial Networks and Image Synthesis
  16. Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality
    2022/02/11 by Daniel Watson, William Chan, Watson, Daniel +5 · 9 citations
    Computer Science · Medicine · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  17. Evolved Policy Gradients
    2018/02/13 by Rein Houthooft, Houthooft, Rein, Richard Y. Chen +11 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Reinforcement Learning in Robotics
  18. Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables
    2019/05/16 by Friso H. Kingma, Kingma, Friso H., Pieter Abbeel +3 · 2 citations
    Computer Science · #Advanced Data Compression Techniques #Algorithms and Data Compression #Artificial Intelligence (cs.AI) #Computation (stat.CO) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel Computing and Optimization Techniques