George Papamakarios
George Papamakarios
DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Masked Autoregressive Flow for Density Estimation
G Papamakarios, T Pavlakou, I Murray
Advances in Neural Information Processing Systems, 2335-2344, 2017
3092017
Fast ε-free inference of simulation models with Bayesian conditional density estimation
G Papamakarios, I Murray
Advances in Neural Information Processing Systems, 1028-1036, 2016
952016
Normalizing Flows for Probabilistic Modeling and Inference
G Papamakarios, E Nalisnick, DJ Rezende, S Mohamed, ...
arXiv preprint arXiv:1912.02762, 2019
582019
Neural spline flows
C Durkan, A Bekasov, I Murray, G Papamakarios
Advances in Neural Information Processing Systems, 7511-7522, 2019
542019
Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows
G Papamakarios, D Sterratt, I Murray
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
492019
Temporal difference variational auto-encoder
K Gregor, G Papamakarios, F Besse, L Buesing, T Weber
arXiv preprint arXiv:1806.03107, 2018
342018
Generalised scalable robust principal component analysis
G Papamakarios, Y Panagakis, S Zafeiriou
BMVA Press, 2014
122014
Cubic-Spline Flows
C Durkan, A Bekasov, I Murray, G Papamakarios
arXiv preprint arXiv:1906.02145, 2019
112019
Distilling intractable generative models
G Papamakarios, I Murray
Probabilistic Integration Workshop at Neural Information Processing Systems, 2015
112015
Neural belief states for partially observed domains
P Moreno, J Humplik, G Papamakarios, BA Pires, L Buesing, N Heess, ...
NeurIPS 2018 workshop on Reinforcement Learning under Partial Observability, 2018
82018
Distilling model knowledge
G Papamakarios
arXiv preprint arXiv:1510.02437, 2015
72015
Comparison of Modern Stochastic Optimization Algorithms
G Papamakarios
72014
Sequential Neural Methods for Likelihood-free Inference
C Durkan, G Papamakarios, I Murray
arXiv preprint arXiv:1811.08723, 2018
62018
Robust low-rank tensor modelling using Tucker and CP decomposition
N Xue, G Papamakarios, M Bahri, Y Panagakis, S Zafeiriou
2017 25th European Signal Processing Conference (EUSIPCO), 1185-1189, 2017
52017
Fast computation of local correlation coefficients on graphics processing units
G Papamakarios, G Rizos, NP Pitsianis, X Sun
Mathematics for Signal and Information Processing 7444, 744412, 2009
52009
Normalizing Flows on Tori and Spheres
DJ Rezende, G Papamakarios, S Racanière, MS Albergo, G Kanwar, ...
arXiv preprint arXiv:2002.02428, 2020
42020
Neural density estimation and likelihood-free inference
G Papamakarios
arXiv preprint arXiv:1910.13233, 2019
42019
Synthetic ground truth data generation for automatic trajectory-based ADL detection
G Papamakarios, D Giakoumis, K Votis, S Segkouli, D Tzovaras, ...
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI …, 2014
32014
Robust Low-Rank Modelling on Matrices and Tensors
G Papamakarios
Imperial College London, 2014
22014
On Contrastive Learning for Likelihood-free Inference
C Durkan, I Murray, G Papamakarios
arXiv preprint arXiv:2002.03712, 2020
12020
The system can't perform the operation now. Try again later.
Articles 1–20