vix.ing · top · new · best · stats · spec

Kingma, Diederik P.

  1. Adam: A Method for Stochastic Optimization
    2014/12/22 by Diederik P. Kingma, Jimmy Ba, Kingma, Diederik P. +1 · 2896 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
  2. Score-Based Generative Modeling through Stochastic Differential Equations
    2020/11/26 by Song, Yang, Sohl-Dickstein, Jascha, Kingma, Diederik P. +3 · 1 voice · 1241 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. Variational Lossy Autoencoder
    2016/11/08 by Xi Chen, Chen, Xi, Diederik P. Kingma +13 · 1 voice · 50 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition
  4. 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
  5. Semi-Supervised Learning with Deep Generative Models
    2014/06/20 by Diederik P. Kingma, Danilo Jimenez Rezende, Kingma, Diederik P. +5 · 119 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference #Bayesian Methods and Mixture Models
  6. Glow: Generative Flow with Invertible 1x1 Convolutions
    2018/07/09 by Diederik P. Kingma, Kingma, Diederik P., Prafulla Dhariwal +1 · 109 citations
    Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Model Reduction and Neural Networks
  7. Imagen Video: High Definition Video Generation with Diffusion Models
    2022/10/05 by Jonathan Ho, Ho, Jonathan, William Chan +19 · 142 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Computer Graphics and Visualization Techniques #Advanced Image Processing Techniques
  8. Variational Dropout and the Local Reparameterization Trick
    2015/06/08 by Diederik P. Kingma, Tim Salimans, Kingma, Diederik P. +3 · 87 citations
    Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms #Machine Learning and Data Classification
  9. PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
    2017/01/19 by Tim Salimans, Salimans, Tim, Andrej Karpathy +5 · 104 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning
  10. Improving Variational Inference with Inverse Autoregressive Flow
    2016/06/15 by Diederik P. Kingma, Kingma, Diederik P., Tim Salimans +9 · 62 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  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. Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
    2023/03/01 by Diederik P. Kingma, Kingma, Diederik P., Ruiqi Gao +1 · 1 voice · 58 citations
    Computer Science · Medicine · #Advanced Neuroimaging Techniques and Applications #Domain Adaptation and Few-Shot Learning #MRI in cancer diagnosis #cs.AI #cs.LG #stat.ML
  13. Learning Sparse Neural Networks through L0 Regularization
    2017/12/04 by Christos Louizos, Louizos, Christos, Max Welling +3 · 48 citations
    Computer Science · #Gaussian Processes and Bayesian Inference #Stochastic Gradient Optimization Techniques #Domain Adaptation and Few-Shot Learning
  14. Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
    2016/02/25 by Tim Salimans, Diederik P. Kingma, Salimans, Tim +1 · 57 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
  15. How to Train Your Energy-Based Models
    2021/01/09 by Song, Yang, Kingma, Diederik P. · 21 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. DeMo: Decoupled Momentum Optimization
    2024/11/29 by Bowen Peng, Peng, Bowen, Chen, Lizhang +9 · 6 voices · 2 citations
    Computer Science · #Robotic Path Planning Algorithms
  17. ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA
    2020/02/26 by Ilyes Khemakhem, Khemakhem, Ilyes, Ricardo Pio Monti +5 · 14 citations
    Computer Science · #Blind Source Separation Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Neural Networks and Applications
  18. Adam-mini: Use Fewer Learning Rates To Gain More
    2024/06/24 by Yushun Zhang, Congliang Chen, Zhang, Yushun +14 · 22 citations
    Computer Science · Engineering · #Advanced Adaptive Filtering Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Music and Audio Processing
  19. Learning Energy-Based Models by Diffusion Recovery Likelihood
    2020/12/15 by Gao, Ruiqi, Song, Yang, Poole, Ben +2 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. On Linear Identifiability of Learned Representations
    2020/07/01 by Geoffrey Roeder, Luke Metz, Roeder, Geoffrey +3 · 1 voice · 3 citations
    Computer Science · #Blind Source Separation Techniques #Neural Networks and Applications #Neural Networks and Reservoir Computing #cs.LG #stat.ML
  21. Flow Contrastive Estimation of Energy-Based Models
    2019/12/02 by Ruiqi Gao, Gao, Ruiqi, Erik Nijkamp +9 · 3 citations
    Computer Science · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #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
  22. Wave-Tacotron: Spectrogram-free end-to-end text-to-speech synthesis
    2020/11/06 by Weiss, Ron J., Skerry-Ryan, RJ, Battenberg, Eric +2 · 2 citations
    #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Sound (cs.SD) #electronic engineering #information engineering