Danilo Jimenez Rezende

Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra · arXiv (Cornell University) · 2014 · 2.6K citations · Full text

Artificial Intelligence, Deep Neural Networks, Engineering +13

Variational Inference with Normalizing Flows

Danilo Jimenez Rezende, Shakir Mohamed · arXiv (Cornell University) · 2015 · 1.4K citations · Full text

Rich Posterior Approximations, Machine Learning, Engineering +12

DRAW: A Recurrent Neural Network For Image Generation

Karol Gregor, Ivo Danihelka, Alex Graves et al. · arXiv (Cornell University) · 2015 · 964 citations · Full text

Engineering, Vision Language Model, Generative Models +11

DRAW: A Recurrent Neural Network For Image Generation

Karol Gregor, Ivo Danihelka, Alex Graves et al. · 2015 · 758 citations

Interaction Networks for Learning about Objects, Relations and Physics

Peter Battaglia, Razvan Pascanu, Matthew Lai et al. · arXiv (Cornell University) · 2016 · 575 citations · Full text

Artificial Intelligence, Geometric Learning, Physics-based Vision +15