George Papamakarios
Google DeepMind (United Kingdom)(GB)
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Model Reduction and Neural Networks, Generative Adversarial Networks and Image Synthesis, Machine Learning and Algorithms, Neural Networks and Applications
Most-Cited Works
- → Normalizing Flows for Probabilistic Modeling and Inference(2019)343 cited
- → Masked Autoregressive Flow for Density Estimation(2017)202 cited
- 30th Conference on Neural Information Processing Systems (NIPS 2016)(2016)
- → Fast $ε$-free Inference of Simulation Models with Bayesian Conditional Density Estimation(2016)151 cited
- → Sequential Neural Likelihood: Fast Likelihood-free Inference with\n Autoregressive Flows(2018)139 cited
- → nflows: normalizing flows in PyTorch(2020)81 cited
- → Image datasets for Neural Spline Flows experiments(2019)75 cited
- → Normalizing Flows on Tori and Spheres(2020)58 cited