Diederik P. Kingma
University of Florida(US)
Publications by Year
Research Areas
Generative Adversarial Networks and Image Synthesis, Gaussian Processes and Bayesian Inference, Model Reduction and Neural Networks, Neural Networks and Applications, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Adam: A Method for Stochastic Optimization(2014)84,465 cited
- → (2021)49,957 cited
- → Auto-Encoding Variational Bayes(2013)15,549 cited
- → An Introduction to Variational Autoencoders(2019)2,388 cited
- → Fast Kd-Trees for the Kullback-Leibler Divergence and Other Decomposable Bregman Divergences(2025)2,079 cited
- → Semi-Supervised Learning with Deep Generative Models(2014)1,521 cited
- → Score-Based Generative Modeling through Stochastic Differential Equations(2020)1,263 cited
- → Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks(2016)928 cited
- → PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture\n Likelihood and Other Modifications(2017)567 cited